Google Jobs in Seattle

Google has 76 jobs in the Seattle area posted in the last week.

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Date	Job Title	Location	Salary	Excerpt	Description
May 27	Senior UX Writer and Content Designer	Seattle, WA	$176,500	Understand and advocate for all UX functions as essential to the product life-cycle. Drive the development of innovative UX writing and content design solutions to complex user, product, and business	Understand and advocate for all UX functions as essential to the product life-cycle. Drive the development of innovative UX writing and content design solutions to complex user, product, and business problems. Build alignment by collaborating with product managers, team members, and other cross-functional stakeholders (e.g., marketing, legal, engineering) to develop a product narrative, goal, mission, or principles. Lead the establishment and improvement of holistic UX writing and content design processes, systems, frameworks or patterns across multiple teams or products. Influence the development of priorities across projects to balance tactical and strategic efforts in alignment with larger project goals. The Commerce Merchant Solutions team plays a critical operation role in executing and running Google's new Commerce related businesses. We work in tandem with Sales and Product Management to provide an excellent experience for our merchant partners. Our culture mirrors that of a small start-up as we're working to create and scale Google's next billion dollar businesses. As part of the editorial team you are responsible for end-to-end, brand-right delivery of promotion for our partners. You oversee and deliver the creative for a designated number of markets, ensuring that the copy and images adhere to our guidelines while accurately representing our business partners. You work with agencies and/or freelancers to ensure high quality output, and you are responsible for the total package of the promotions (copy and image) in your markets. You are able to write and/ or prepare the images yourself for time-sensitive needs. Vertical Ads drives Google’s strategy for industry-specific ad experiences. We build specialized, next-generation advertising products that connect consumers with businesses across the entire user journey—from discovery to purchase. Growing our core Search business by scaling globally, expanding to more queries, adding richer interactivity and metadata. Pioneering new ad formats for use cases across Food and Beverage, Real Estate, and beyond. Expanding our Vertical Ad experiences to YouTube and other new surfaces, closing the gap between inspiration to purchase. Whether it is a hotel, a car, or a restaurant, our consumers are not just buying a product—they are buying an experience. Join us to drive product innovation and create highly relevant consumer and advertiser experiences! Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. The US base salary range for this full-time position is $144,000-$209,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 27	Senior Research Scientist, Superconducting Digital Electronics, Quantum AI	Seattle, WA	$213,000	Design and simulate superconductor digital logic circuits (such as single flux quantum (SFQ) logic, adiabatic quantum flux parametron (AQFP) logic, and other emerging superconductor logic families) f	Design and simulate superconductor digital logic circuits (such as single flux quantum (SFQ) logic, adiabatic quantum flux parametron (AQFP) logic, and other emerging superconductor logic families) for generating waveforms tailored to qubit control and readout. Develop superconductor digital logic systems enabling multiplexed qubit control and readout. Address issues in the integration of superconductor digital electronics such as multi-layer cell design, full-chip clock synchronization, flux trapping, and signal integrity. Collaborate with teams focused on design, fabrication, and measurement to validate fully integrated quantum processors. Publish research papers and present at leading scientific conferences to advance and enhance publicity. As a Research Scientist, your primary focus will be designing and simulating superconductor digital logic circuits (such as single flux quantum (SFQ) logic and adiabatic quantum flux parametron (AQFP) logic) for qubit control and readout. You will engage in co-design loops with qubit designers and superconducting digital circuit designers, utilizing advanced IC design tools, numerical circuit simulation techniques and 3D electromagnetic modeling to optimize signal integrity, minimize crosstalk, manage thermal budgets, and aim performance metrics required for coherent control of qubits. You will also interface with fabrication engineers to help define and establish IC design standards that are compatible for both the sensitive superconducting qubits and the co-located cryogenic control electronics. This work is critical to building a fully integrated, modular chip stack that combines superconducting qubits with their control electronics directly within the cryogenic environment, accelerating the path toward large-scale, error-corrected quantum computer. This work is critical to building a fully integrated, modular chip stack that combines superconducting qubits with their control electronics directly within the cryogenic environment, accelerating the path toward large-scale, error-corrected quantum computers. The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications. The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 27	Senior Software Engineer, Head Tracking, Beam, AI/ML	Seattle, WA	$213,000	Define, design, and own the end-to-end strategy and roadmap for evaluating Beam head tracking performance and robustness. Lead the development and maintenance of the evaluation infrastructure, includ	Define, design, and own the end-to-end strategy and roadmap for evaluating Beam head tracking performance and robustness. Lead the development and maintenance of the evaluation infrastructure, including systems for data recording, replay, metrics computation, dashboards, and automated alerting. Collaborate closely with the team to provide feedback, guide algorithm improvements, and validate changes. Design and implement testing scenarios, including synthetic data generation and real-world data collection, to cover use cases. Work effectively with cross-functional partners, including Product Managers, UX Researchers, and other Engineering teams. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, with your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Google Beam is a true-to-life new communication technology from Google that allows people to feel like they’re having real face-to-face conversations, no matter the distance. Powered by realistic state-of-the-art 3D imaging and spatial audio and integrated with today’s leading remote video platforms, Google Beam enables you to be immersed in the moment, together. As a part of the Google Beam team, you'll work with incredible teammates across all major functions in a fast-paced product-oriented environment. Your contributions will have an impact on the future of communications with Google products. You will apply technology to solve that really important problem that we often want to be together and we can’t. The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 27	Senior Product Manager, Compute VM	Seattle, WA	$235,000	Lead and harmonize processes to define, identify, collect, and track appropriate product or business metrics, both quantitative and qualitative for new or existing products or business ventures. Buil	Lead and harmonize processes to define, identify, collect, and track appropriate product or business metrics, both quantitative and qualitative for new or existing products or business ventures. Build and scale new CPU based VMs to market under google compute engine, including deep-diving into one of the fastest growing VMs segments for Cloud to meet the needs of AI/ML and general purpose compute needs. Drive the roadmap for CPU and Memory technologies, Guest OS support, network, storage, hypervisor and offloads. Analyze competitive dynamics and industry trends on where the innovation is happening for both workloads and hardware. Collaborate across hardware, software, research and product teams towards product goals and roadmap. At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. As a part of the Technical Infrastructure team, you will be building and maintaining the architecture that powers everything users see online, from developing and managing data centers to building the next-generation of Google platforms, making Google's entire product portfolio possible. In this role, you will serve as an engineers' engineers and love voiding warranties by taking things apart so you can rebuild them, while keeping networks up and running to ensure users have the best and fastest experience possible.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're behind Google's groundbreaking innovations, empowering the development of AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full-time position is $192,000-$278,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 27	Financial Analyst, Data Center Technology Systems	Kirkland, WA	$142,000	Perform analysis of datasets to extract relevant information, identify trends, and generate actionable insights for the business. Identify and evaluate opportunities to optimize expenditures related	Perform analysis of datasets to extract relevant information, identify trends, and generate actionable insights for the business. Identify and evaluate opportunities to optimize expenditures related to technical infrastructure, including risk management, scenario analysis, and driving key performance indicators. Manage projects involving multiple stakeholders, timelines, organizational implications, and changing circumstances. Utilize your in-depth understanding of the latest technology, infrastructure, business and its underlying economic fundamentals to impact decision making. Serve as a trusted advisor to engineering and infrastructure leadership, providing proactive, data-driven insights to guide resource allocation decisions with business partners. Financial Analysts ensure that Google makes sound financial decisions. As a Financial Analyst, your work, whether it's modeling business scenarios or tracking performance metrics, is used by our leaders to make strategic company decisions. While working on multiple projects at a time, you are focused on the details while finding creative ways to solve big picture challenges. Technical Infrastructure (TI) is the backbone of Google - the global data centers, networks and integrated hardware and software that power both Google customer products and services, including Google Cloud, and our internal operations. Google builds and operates one of the largest private data center fleets in the world. It is a complex technical area with very large operating and capital budgets growing year over year. The TI Finance mission is to partner cross-functionally drive optimal decision-making, provide insights for strategic and tactical decisions, and bend the cost curve down. The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business. The US base salary range for this full-time position is $117,000-$167,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 27	Senior Engineering Analyst, AdSpam	Kirkland, WA		Lead and execute sophisticated investigations and analyses using advanced statistical methods and data sources to identify, characterize, and defend against novel fraud and abuse across Google's ad e	Lead and execute sophisticated investigations and analyses using advanced statistical methods and data sources to identify, characterize, and defend against novel fraud and abuse across Google's ad ecosystem. Partner closely with Engineering teams to improve ad traffic infrastructure, defense systems, and workflows. Proactively identify and help implement efficiency improvements through advanced machine learning techniques, scaled defenses, and automation. Drive full life-cycle projects across Product, Engineering, and Trust and Safety teams to prevent abuse by improving policies and closing product vulnerabilities. Work collaboratively with teammates around the globe and deliver projects from beginning to end in a timely manner. Work with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content. Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. The mission of our team is to protect Google's users and advertisers by making the ads ecosystem universally trusted and defended against invalid traffic and ensuring publishers comply with our policies. In this role, you will defend Google's ad products from fraud and abuse. You will evaluate millions of publishers, analyze billions of events, and create scalable methods to stop bad actors and motivated fraudsters from causing harm. You will understand the users' point of view and will be passionate about using our technical, sales, and customer service acumen to protect them. You will also help users, advertisers, publishers, and Google harness information and monetize the internet safely and usefully.
May 27	Business Data Scientist, Ads Marketing Analytics	Kirkland, WA	$168,000	Work with large, complex data sets. Solve analysis problems, applying advanced investigative methods (such as statistical and machine learning models) as needed. Conduct analysis that includes proble	Work with large, complex data sets. Solve analysis problems, applying advanced investigative methods (such as statistical and machine learning models) as needed. Conduct analysis that includes problem formulation, data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. Design and analyze controlled experiments or counterfactual causal inference studies to examine the incremental impact of Ads marketing programs. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed. Interact cross-functionally, making business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for business priorities. Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations. Google Ads Marketing helps advertisers of all sizes succeed with digital marketing. In this role, you will work with a team to advance marketing science for customers using Google’s advertising solutions. This unique opportunity applies Data Science tools to accelerate Ads business growth, working cross-functionally with Sales, Marketing, and Product teams. As a Data Scientist on this team, you will perform deep data analytics, drive experimentation and measurement, and advance machine learning modeling to support global marketing programs. Collaborating with a multidisciplinary team of marketers, product managers, data scientists, and engineers, you will leverage underlying data to align on key metrics and methodologies. Your insights will enable marketers to develop highly effective programs. Using core Data Science expertise, you will design, prototype, and build scalable analysis pipelines to support campaigns. You will perform analytics, execute experimentation, and conduct incrementality measurement to inform strategic decisions across the entire Ads Marketing lifecycle—from acquisition and onboarding to growth and retention. You will build investigative frameworks and measurement capabilities to generate data-driven insights that drive business growth. You will effectively communicate your investigative results to marketing partners and leadership to inform critical decision-making. The US base salary range for this full-time position is $138,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 27	UX Engineer, XR	Seattle, WA	$160,500	Build high-fidelity, functional prototypes using real data to validate product hypotheses and drive insights. Develop and maintain prototyping infrastructure used by XR and our partners. Partner with	Build high-fidelity, functional prototypes using real data to validate product hypotheses and drive insights. Develop and maintain prototyping infrastructure used by XR and our partners. Partner with designers, researchers, and cross-functional teams to resolve ambiguity and define technical requirements. Apply an inventive mindset to technical challenges, finding ways to bridge gaps between design goals and model capabilities. Foster productive partnerships with designers, researchers, and leads to align technical execution with user needs. At Google, we "Focus on the user and all else will follow." Our UX Engineers are versatile, passionate, and driven to advance the goal for our design teams. Comfortable working across discipline lines, you will develop products and prototypes that bring innovative ideas to life. Joining a multi-disciplinary UX team, you will collaborate with Engineering and Product Management, using user insights to create industry-leading products. In a fast-paced environment, you will use your creativity, analytical skills, and knowledge of user-facing technologies to: create prototypes that define product experiences; launch innovative features; build tools to accelerate UX teams; and bridge design and engineering to ensure efficient, high-quality execution. Google's XR team is at the forefront of the next major leap—the convergence of AI and XR. This is more than just new devices; it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences. The XR UX team works on cutting-edge technologies to enable the next generation of XR experiences and devices. We design, prototype, and research the experiences and interactions that set the direction for Google's emerging products across the spectrum of XR devices. For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap – the convergence of AI and XR. This is more than just new devices – it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences. The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 27	Data Transformation Lead, Travel	Seattle, WA	$131,000	Own the sales cycle for key data and measurement capabilities and tech infrastructure to drive customer adoption and growth of Google’s solutions. Develop and manage a sales pipeline for product adop	Own the sales cycle for key data and measurement capabilities and tech infrastructure to drive customer adoption and growth of Google’s solutions. Develop and manage a sales pipeline for product adoption progress across the book of business. Establish as a trusted advisor and technical product seller who understands how durable measurement infrastructure strategy will help customers overcome unique industry and ecosystem challenges; and can articulate deep product knowledge to support customer business objectives. Work cross-functionally with sales, product or technical specialists, and Google partners to synthesize technical and strategic business requirements into cohesive business cases. Effectively sell and triage handoffs for implementation, act as a liaison between key partner teams to ensure project completion and on-going value is delivered. Identify, cultivate, and own client relationships within advertisers and agencies. As an Data Transformation Lead, you are a trusted advisor to large customers and agencies, using data-driven insights to solve clients' growth issues and achieve their business goals. You will serve as the Google owner of clients’ marketing measurement plans and a key partner to Google's ad sales teams, who will work to bring the best of Google's advertising solutions to their customers. You will have an investigative background with experience in marketing analytics or statistical analysis. You are able to refine complex situations into a few actionable insights. Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google. The US base salary range for this full-time position is $108,000-$154,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 27	Software Engineer, Data Center Systems and Analytics	Kirkland, WA	$179,000	Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and pr	Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The mission of our Software Engineering team is to deliver the self-service platform with credible data hygiene and governance capabilities. To accelerate responsible AI adoption across CSCO by creating a single, unified application to democratize AI, foster collaboration among teams, enforce AI governance by design, and showcase success stories that demonstrate proven business impact. To guarantee data consistency and integrity while empowering users to easily discover, understand, and leverage analytics data and to implement scalable systems to continuously assess, maintain, and improve data privacy, security and quality. The team build's secure and auditable systems for assets, events, telemetry-based solutioning and management of Google's Data center floor operations and custody chain of events and develop applications, integrations and services that support and change fundamental assumptions of how IT works. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 26	Principal Engineer, Streamling Analytics	Kirkland, WA	$367,000	Partner with per-product and cross-functional leads (e.g., PM, SRE) to articulate the overall roadmap for the portfolio.  Help own complex cross-organization efforts (e.g., release velocity, PubSub/G	Partner with per-product and cross-functional leads (e.g., PM, SRE) to articulate the overall roadmap for the portfolio.  Help own complex cross-organization efforts (e.g., release velocity, PubSub/Goops unification, cross-product integrations, Pub/Sub backlog statics and Google Managed Kafka reliability). Be responsible for organization wide engineering excellence (e.g., the right level of visibility/accuracy/follow-through for technical reviews).  Understand our products’ relative strengths and weaknesses and then shape the roadmap accordingly. Mentor for per-product team leads. Streaming Analytics is an organization of software engineers responsible for messaging and data processing products for internal Google consumption and external consumption. As the Principal Engineer, you will be responsible for setting the technical strategy for GCP Data Analytics’ stream data processing portfolio, which includes PubSub and Google Managed Kafka. Google Cloud Pub/Sub is a fully-managed, real-time messaging service that enables decoupled, asynchronous communication between applications using a publish-subscribe model. Publishers send messages to topics, and subscribers receive them, allowing for flexible and scalable architectures. Cloud Pub/Sub differentiates itself through its serverless operation, global scale, high reliability with at-least-once delivery, and seamless integration with other Google Cloud services for data analytics and event-driven workflows. External customers leverage it for real-time data ingestion (e.g., from IoT devices and applications), building event-driven microservices, and streaming data to analytics platforms like BigQuery. Google also heavily relies on the same core messaging technology underpinning Cloud Pub/Sub for many of its own large-scale internal systems. Google Cloud Managed Service for Apache Kafka is a fully-managed service that simplifies deploying and operating Apache Kafka clusters on Google Cloud. It provides full compatibility with open-source Kafka APIs and tooling, allowing organizations to easily migrate existing self-managed Kafka workloads or build new event-driven applications. Unlike Google Cloud Pub/Sub, this service caters specifically to users who require native Apache Kafka functionality. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $307,000-$427,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 26	Research and Development Analyst, Trust and Safety Monetization	Kirkland, WA	$160,500	Perform analysis and investigations using a variety of data sources and take enforcement actions to identify and defend novel fraud and abuse on Google's ad products. Partner closely with engineering	Perform analysis and investigations using a variety of data sources and take enforcement actions to identify and defend novel fraud and abuse on Google's ad products. Partner closely with engineering teams to improve ad traffic infrastructure, defense systems, and workflows. Proactively identify and help implement efficiency improvements through advanced machine learning techniques, scaled defenses, and automation.  Drive full lifecycle projects across product, engineering, and trust and safety teams to prevent abuse by improving policies and closing product vulnerabilities. Work collaboratively with teammates around the globe and deliver projects from beginning to end in a timely manner. Be exposed to potentially sensitive content or situations and possibly graphic, controversial, and/or upsetting topics or content as part of the role. The mission of our team is to build an exceptional trusted ads ecosystem by predicting and mitigating emerging risks, ensuring safe and healthy growth for creators, publishers, advertisers, and end users. We defend Google's ad products from fraud and abuse. We evaluate millions of publishers, analyze billions of events, and create scalable methods to stop bad actors and motivated fraudsters from causing harm. We understand the user's point of view and are passionate about using our technical, sales, and customer service acumen to protect them. When we get this right, we help users, advertisers, publishers, and Google harness information and monetize the internet safely and usefully. As a Research and Development Analyst on the Trust and Safety Monetization team, you'll be responsible for future-proofing Google's ad ecosystem from invalid traffic and abuse. You'll work to discover abuse trends and signatures, take risks to seek out and deeply understand the unknown, and then share findings and concrete recommendations with our partner teams. You will collaborate with internal and external stakeholders to develop and improve our defenses, because we don't succeed unless they do. The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 26	Program Manager, AI/ML, Trust and Safety	Kirkland, WA	$166,500	Orchestrate the transition from manual-heavy review to an AI-native ecosystem by defining the future state of human-in-the-loop and human-on-the-loop operations, assessing product requirements for Al	Orchestrate the transition from manual-heavy review to an AI-native ecosystem by defining the future state of human-in-the-loop and human-on-the-loop operations, assessing product requirements for Al/ML model training, and implementing processes for end-to-end governance from development through deployment. Navigate complex, global initiatives by unifying Product, Engineering, and Policy teams. Act as a primary bridge between analytics, engineering, and operational teams to define and integrate an AI-native workforce, measurement, and tooling strategy. Lead strategic resource modeling and capacity planning across global teams to ensure technical and human expertise are effectively deployed to meet high-priority Trust and Safety goals. Advocate for Al and automation efforts ensuring the benefits of Al are strategically integrated to enhance efficiency and quality. Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. As an AI/ML Program Manager for Compute Trust and Safety Operational Excellence team, you will drive the efforts associated with the development, deployment, and ongoing governance of our AI/ML infrastructure. You are tasked with a mission-critical mandate, accelerating the AI transformation of Google Play's Trust and Safety Operations. This isn't about incremental gains; it’s about a fundamental paradigm shift. You will lead the transition from manual-heavy moderation to a high-precision, AI-native ecosystem. You will sit at the intersection of policy, engineering, analytics, product, and operations, ensuring that our AI models don't just work fast, but work right, improving decision accuracy and global coverage while significantly reducing our reliance on manual workflows. At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages. The US base salary range for this full-time position is $136,000-$197,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 26	Senior Technical Program Manager, Google Cloud Applied AI, Capacity Management	Kirkland, WA	$287,000	Lead the end-to-end lifecycle of complex AI programs, from strategic inception through delivery, driving continuous iterative refinement and alignment. Streamline cross-functional processes and desig	Lead the end-to-end lifecycle of complex AI programs, from strategic inception through delivery, driving continuous iterative refinement and alignment. Streamline cross-functional processes and design the AAI capacity planning lifecycle, prioritizing resource requests and resolving escalations to ensure program velocity. Drive operational clarity and decisive resolution for programmatic risks, bottlenecks, and dependencies within rapidly evolving and highly ambiguous environments. Strengthen visibility by delivering high-impact insights through a sophisticated blend of quantitative metrics and qualitative executive reporting. Act as a team multiplier by mentoring peer TPMs and supporting teams across organizational boundaries to achieve shared milestones. A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. The Applied AI Technical Program Management (TPgM) team is a high-execution group delivering agent-based solutions for Google’s Enterprise customers. We seek leaders with AI expertise and a passion for driving high-velocity impact. In this role, you will lead large-scale programs and manage the critical infrastructure capacity required for their success. You will design and operationalize the process to curate, prioritize, and submit capacity requests for Applied AI (AAI) products, collaborating closely with cross-functional partners to secure resources. Additionally, you will serve as the primary lead for the building process and cadence for capacity planning across the product while acting as a liaison with Vertex for provisioning. You must balance strategic goals with the ability to dive into technical details, ensuring resource constraints do not hinder program velocity. Ultimately, you will be a key leader in delivering a generative AI ecosystem to our customers. The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment. The US base salary range for this full-time position is $240,000-$334,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 26	Senior Staff Software Engineer, Future of Git	Kirkland, WA	$313,500	Leverage Google Cloud Platform (GCP) to build and modernize developer tools, optimizing for reliability, latency, and developer productivity at scale. Lead the architectural evolution of Git-based wo	Leverage Google Cloud Platform (GCP) to build and modernize developer tools, optimizing for reliability, latency, and developer productivity at scale. Lead the architectural evolution of Git-based workflows and infrastructure, ensuring scalability, security, and seamless integration with modern development practices. Drive the strategy and execution for integrating Google's internal development ecosystem with external platforms. Partner with Product Management, User Experience, and other engineering leaders to define the long-term goal for the "Future of Git" at Google. Lead the migration of legacy developer tools version control systems, balancing risk reduction with the accelerated adoption of modern platforms. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Git Source team is re-architecting Google's Software Development Life Cycle through the Future of Git (FoG) initiative. We are leading an accelerated transition from legacy proprietary systems to industry-standard platforms as the foundation for an internal developer platform (IDP). Our mission is to rapidly land General Availability, delivering an AI-first SDLC architecture characterized by agentic orchestration, spec-driven development, and context-aware intelligence. In this role, you will be responsible for the technical leadership required to bridge Google’s unique internal scale with industry-standard ecosystems while navigating complex Cloud security governance and requirements. You will provide technical orchestration across engineering teams in Cloud and Open Ecosystems, Google Cloud, Git Ecosystem, and Privacy Safety and Security (PSS) to ensure a highly available, "compliant-by-default" developer experience that accelerates feature velocity for Googlers. The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company. The US base salary range for this full-time position is $262,000-$365,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 26	Senior Product Data Scientist Manager, Android	Kirkland, WA	$287,000	Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Direct projects that combine analytical and organizational complexity towards clear, sound, and actionable decisions. Own projects en	Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Direct projects that combine analytical and organizational complexity towards clear, sound, and actionable decisions. Own projects end-to-end, covering problem definition, metrics development, data extraction and manipulation, visualization, creation, implementation of analytical/statistical models, and presentation to stakeholders. Address ambiguous or new problems by using the capabilities of existing systems and collaborate to turn broad problems into work for the team. Oversee the integration of cross-functional and cross-organizational project/process timelines, drive improvements and recommendations, and define operational goals and objectives. Lead a team of data scientists, oversee technical accuracy across the organization, provide essential technical oversight for ranking, personalization, and classification strategies to scale the business globally. Android, Business, and Communications (ABC) is at the core of how people and businesses connect across the globe. Our mission is to build the world’s most helpful, expressive, and secure communication experiences. With communication apps such as Google Messages and Dialer, we ship products that make a meaningful difference in billions of lives worldwide. We define standard-setting "toothbrush journeys"—from fundamental calling reliability to high-resolution media sharing and expressive reactions. Beyond peer-to-peer connection, we are pioneering the next generation of conversational commerce, enabling businesses to deliver app-like experiences directly within the messaging interface. Whether adapting mobile features for a multi-device world on Wear OS or driving engagement with features like call screen, we focus on high-impact innovation that connects everyone, regardless of their device. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. The US base salary range for this full-time position is $240,000-$334,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 26	Technical Lead, YouTube Ads Data Infrastructure	Kirkland, WA	$253,500	Drive execution of high-impact, visible data projects, establishing the technical strategy and investment road-map for sustainable YouTube Ads growth. Architect cost-efficient, sub-linear data and lo	Drive execution of high-impact, visible data projects, establishing the technical strategy and investment road-map for sustainable YouTube Ads growth. Architect cost-efficient, sub-linear data and logging infrastructure capable of managing millions of Queries Per Second (QPS) for model training, billing, and reporting. Deliver critical data solutions, including low-latency streaming datasets and improving end-to-end log freshness from over 40 hours to under 6 hours. Collaborate with executive leaders and product teams across the organization to unify workflows, ensure compliance, and maximize Return on Investment (ROI). Guide and mentor team engineers while directly contributing to technical design, coding, and solving ambiguous, complex technical problems. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a member of the YouTube Ads Data Infrastructure team, you will design and scale the critical data systems that power everything from ads model training and analytics to billing and reporting. You will have an opportunity to gain a deep understanding of the YouTube Ads stack while collaborating with various product teams to engineer the data infrastructure of the future. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 26	Finance Manager, Cloud Central Finance, Market Intelligence	Kirkland, WA	$209,500	Monitor industry trends and financial developments to identify opportunities and threats. Synthesize data from securities and exchange commission (SEC) filings, analyst reports, and industry experts	Monitor industry trends and financial developments to identify opportunities and threats. Synthesize data from securities and exchange commission (SEC) filings, analyst reports, and industry experts to validate market insights across business models and go-to-market strategies. Establish automated reporting mechanisms to deliver market insights to leadership, streamlining communication and driving continuous process improvement. Develop performer benchmarks to optimize quarterly earnings insights and long-term resource allocation. Lead end-to-end research studies aligned with key organizational growth goals. Collaborate with Strategy and Operations teams to define addressable markets and analyze market share to uncover new business opportunities. Lead the Cloud metrics council to standardize the governance and external disclosure of key metrics (e.g., Earnings, Google Next). Partner across teams to craft data-backed narratives and provide rapid, ad-hoc analysis for executive leadership. Financial Analysts ensure that Google makes sound financial decisions. As a Financial Analyst, your work, whether it's modeling business scenarios or tracking performance metrics, is used by our leaders to make strategic company decisions. Working on multiple projects at a time, you are focused on the details while finding creative ways to take on big picture challenges. As someone who knows the workings of the core Finance team inside and out, you'll lead individual projects to transform planning, tracking and control processes. You'll provide senior level management with insightful recommendations, planning and reporting support. Cloud is a priority for Google. We develop groundbreaking cloud solutions, including Google Cloud Platform and Google Workspace, to enable our clients’ digital transformation. In this role, you will be responsible for providing high-impact and actionable market intelligence insights and engaged financial analysis that drive executive decision-making and shape the direction of Google Cloud. You will be involved in generating the data we release externally, and enabling meaningful claims that thoughtfully tell the Cloud story through data. The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business. The US base salary range for this full-time position is $171,000-$248,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 25	Forward Deployed Engineer IV, GenAI, Google Cloud	Seattle, WA	$253,500	Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on In	Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team. Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency. Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams. Co-build with Customer Engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. As a Generative AI (GenAI) Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap. It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 25	Product Marketing Manager, Google Marketing Platform	Kirkland, WA	$173,500	Build scalable marketing programs and messaging frameworks that lift industry perception and drive adoption of key GMP, Display and Video 360, Search Ads 360, and Commerce Media Network (CMN) initiat	Build scalable marketing programs and messaging frameworks that lift industry perception and drive adoption of key GMP, Display and Video 360, Search Ads 360, and Commerce Media Network (CMN) initiatives. Craft visionary messaging and strong product positioning that simplifies Google Marketing Platform (GMP) concepts to help enterprise advertisers, agencies, retailers, and brands drive measureable Return on Investment (ROI). Drive cross-functional projects collaboratively, building trusted relationships across Product, Engineering, business, Google Public Sector, Public Relations, and Global Market Insights to shape how milestone moments and major launches land in market. Manage external creative agencies to develop premium, on-brand visual assets and experiences through sharp brief writing and strategic leadership. Experiment with and integrate approved AI tools into your daily workflow, leveraging technology to expand your marketing capabilities and drive operational efficiency. As an Ads Product Marketing Manager, you will be part of the team whose mission is to empower every marketer, agency, and publisher with trusted AI and the unmatched value of our solutions, unlocking their next frontier of business growth as enterprise advertisers and agencies are under unprecedented pressure to drive measurable Return on Investment (ROI) across a fragmented media landscape. You will require navigating the convergence of Connected TV (CTV) and Commerce Media Networks (CMNs), overcoming declining signal fidelity, and capturing consumer intent from discovery to purchase. As a part of Product Marketing Manager, you will join the team and strengthen Google Marketing Platform’s position as the unmatched leader in omnichannel, AI-driven performance, including Display and Video 360, Search Ads 360, Campaign Manager 360, and the Commerce Media Suite. You will drive the integrated marketing strategies and programs that shift perception, showcase the value of the GMP stack, and highlight how the Gemini advantage delivers industry-leading results across YouTube, Google, and third-party inventory, including scaling Commerce Media (CMN) capabilities. You will act as a collaborative and strategic partner to product, engineering, sales, and PR teams to launch, activate, and scale products and key initiatives, including translating competitive and market insights into compelling positioning and narratives, creating high-impact content and campaigns, orchestrating cross-functional GTM strategy, and activating through key outbound channels to reach enterprise advertisers, agencies, retailers, and brands. You are passionate about shaping the future of digital advertising industry, have a creative approach to product storytelling, and meet uncertainty with curiosity and a growth mindset.Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself. The US base salary range for this full-time position is $142,000-$205,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 25	Senior Technical Program Manager, Google Cloud Applied AI, Agent Assist	Kirkland, WA	$235,000	Lead the end-to-end lifecycle of complex technical programs from initial strategic inception through delivery and deprecation driving continuous iterative refinement. Drive operational clarity and de	Lead the end-to-end lifecycle of complex technical programs from initial strategic inception through delivery and deprecation driving continuous iterative refinement. Drive operational clarity and decisive resolution for programmatic risks, bottlenecks, and cross-functional dependencies within rapidly evolving and ambiguous environments. Strengthen cross-team visibility by delivering frequent, high-impact insights through a sophisticated blend of quantitative metrics and qualitative executive reporting. Partner with engineering and product leadership to streamline cross-functional processes, simplify execution models, and implement high-impact tooling efficiencies. Act as a team multiplier by mentoring peer technical program managers and supporting team members across organizational boundaries to achieve shared technical milestones. A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. The Applied AI Technical Program Management (TPgM) Agent Assist team is a high-execution group requiring deep AI expertise, product domain knowledge, and a genuine passion for delivering impact at an accelerated pace. Our TPgMs are responsible for the end-to-end delivery and management of agent-based solutions for Google’s Enterprise customers. In this role, you will partner closely with Product Managers, Engineers, and cross-functional teams to navigate a complex landscape of technologies, processes, and deadlines. Owning large-scale programs with broad scope, you will balance big-picture strategic thinking with the ability to dive deep into technical details alongside engineering. Ultimately, you will serve as a key leader and collaborative partner as our broader organization works to deliver a cohesive, exceptional generative AI ecosystem to our customers. The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment. The US base salary range for this full-time position is $192,000-$278,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
May 25	Senior UX Quantitative Researcher, Ecosystem Growth, Core	Kirkland, WA	$195,000	Drive complex research programs to identify high-value opportunities for our team and across our product area partners while managing priorities and high-profile initiatives. Partner closely with Pro	Drive complex research programs to identify high-value opportunities for our team and across our product area partners while managing priorities and high-profile initiatives. Partner closely with Product, Data Science, UX Design, UX Writing, Engineering, and Marketing leaders to drive product strategy and ensure product excellence through strategic and tactical research. Demonstrate effective problem-framing, build upon existing knowledge, integrate appropriate quantitative and qualitative methods, and deliver excellence in research execution and communication of insights. Leverage a quantitative methodological toolsets (e.g., surveys, logs analysis, experiments) and qualitative methods (e.g. usability testing, contextual inquiry, diary study, RITE, etc.). Facilitate healthy team dynamics, build cross-functional relationships, and increase adoption of strategic/tactical research insights at the team, product, and organizational level. At Google, we "Focus on the user and all else will follow." As a Quantitative User Experience Researcher (Quant UXR), you make this possible. You will join a multi-disciplinary team, collaborating closely with Engineering and Product Management to create industry-leading, innovative products. You will drive impact at all stages of development by investigating user behavior through empirical methods like logs analysis, survey research, and regression. We value diverse educational experiences—from Computer Science to Psychology—and require a blend of behavioral research design, statistical proficiency, and programming skills to uncover actionable insights. Beyond the work, you will grow within a supportive Quant UXR community offering mentorship, regular meetups, and exclusive internal tools to help you thrive. At Core Experience organization, our mission is to help all teams at Google build unified products that people continue to use, by improving the desirability and cohesion of our products. The mission of the Ecosystem Growth team is to seamlessly connect people, products, and AI experiences so more users unlock the full value of Google. Our goal is to drive engagement with Google products across platforms, by helping users discover, onboard, and experience everything Google has to offer.The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company. The US base salary range for this full-time position is $159,000-$231,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 25	Forward Deployed Engineer IV, Applied AI, Google Cloud	Seattle, WA	$253,500	Serve as the lead developer for conversational AI and customer experience applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model con	Serve as the lead developer for conversational AI and customer experience applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment. Architect and code conversational flows that are functional, and optimized for the connective tissue between Google’s conversational AI products and customers’ live infrastructure, including APIs, legacy data silos, and security perimeters. Build high-performance evaluation pipelines and observability frameworks to optimize agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking. Identify repeatable field patterns and technical friction points in Google’s Applied Artificial Intelligence (AAI) stack, converting them into reusable modules or product feature requests for Engineering teams. Co-build with customer engineering teams to instill Google-grade development best practices, ensuring project success and end-user adoption. As a Forward Deployed Engineer (FDE) in Applied AI, you will be the Agent Engineer and the primary driver for our customers' most critical AI initiatives. You will take initial conversational prototypes and transform them into production-ready solutions, owning the end-to-end engineering lifecycle, including the transition from art of the possible to real-world business value and scalable, secure AI systems. This is a high-travel, role focused on leading technical delivery for conversational AI pilots and establishing the first customer user journeys (CUJs) for our largest customers at their sites. You will have an understanding of software engineering, Machine Learning operations, and cloud infrastructure. It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 25	Forward Deployed Engineer I, Applied AI, Google Cloud	Seattle, WA	$148,500	Serve as the lead developer for Conversational AI and customer experience (CX) applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, mode	Serve as the lead developer for Conversational AI and customer experience (CX) applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment. Architect and code conversational flows that functional, and optimized for the connective tissue between Google’s Conversational AI products and customers’ live infrastructure, including APIs, legacy data silos, and security perimeters. Build high-performance evaluation (Eval) pipelines and observability frameworks to optimize agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking. Identify repeatable field patterns and technical friction points in Google’s Applied Artificial Intelligence (AAI) stack, converting them into modules or product feature requests for Engineering teams. Co-build with customer engineering teams to instill Google-grade development best practices, ensuring project success and end-user adoption. As a Forward Deployed Engineer in Applied AI, you will be the "Agent Engineer" and the primary driver for our customers' AI initiatives. You will take initial conversational prototypes and transform them into production-ready solutions, owning the engineering lifecycle, including the transition from initial concepts to real-world business value and scalable, secure AI systems. This is a high-travel role focused on leading technical delivery for conversational AI pilots and establishing the first customer user journeys (CUJ) for our customers at their sites. It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. The US base salary range for this full-time position is $123,000-$174,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 25	Senior Technical Program Manager, Ads Privacy and Safety	Seattle, WA	$235,000	Orchestrate complex, cross-functional privacy strategy across multiple product areas such as the Ads Privacy Working Group (PWG) Lead, securing critical alignment from executive stakeholders. Develop	Orchestrate complex, cross-functional privacy strategy across multiple product areas such as the Ads Privacy Working Group (PWG) Lead, securing critical alignment from executive stakeholders. Develop defensible plans for feature and capability releases, actively tracking progress while identifying, communicating, and mitigating key program risks. Optimize comprehensive measurement frameworks and success metrics to evaluate privacy compliance, providing executive leadership with strategic visibility and data-driven insights. Guide teams through complex policy shifts, AI adoption, and business transformations, representing the organization in leadership forums with recommended paths forward. Advocate the strategic application of AI tooling to automate, scale, and transform Ads PWG operations, driving massive organizational efficiency. A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. As a Technical Program Manager focused on Security and Privacy, you will use technical expertise to develop scalable solutions delivering user privacy improvements, organizational compliance, and high-velocity engineering operations. You collaborate with cross-functional stakeholders to identify opportunities, scale processes, and guide the technical direction of initiatives. By establishing rigorous standards, you model privacy excellence as an integral component of the engineering lifecycle. You advocate the program management community through mentorship of junior program managers, driving leadership standards and talent sustainability. You lead programmatic harmonization for privacy reviews across multiple Ads pillars, maximizing efficiencies within the current Privacy team. In this role, you define a technical program strategy for privacy engineering across product areas. You will partner with product management and engineering leadership to understand long-term roadmaps, anticipating program needs that enable secure business growth. To excel, you bring a track record of delivering complex infrastructure programs under tight regulatory frameworks. You translate ambiguous compliance requirements into concrete technical specifications that engineering teams execute, safeguarding user trust while accelerating product velocity at scale. The US base salary range for this full-time position is $192,000-$278,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
May 25	Technical Program Manager III, Google Cloud Applied AI	Kirkland, WA	$200,000	Lead the end-to-end lifecycle of complex technical programs from initial strategic inception through delivery and deprecation driving continuous iterative refinement. Drive operational clarity and de	Lead the end-to-end lifecycle of complex technical programs from initial strategic inception through delivery and deprecation driving continuous iterative refinement. Drive operational clarity and decisive resolution for programmatic risks, bottlenecks, and cross-functional dependencies within evolving and ambiguous environments. Strengthen cross-team visibility by delivering frequent, high-impact insights through a sophisticated blend of quantitative metrics and qualitative executive reporting. Partner with engineering and product leadership to streamline cross-functional processes, simplify execution models, and implement high-impact tooling efficiencies. Act as a team multiplier by mentoring peer Technical Program Managers (TPMs) and supporting team members across organizational boundaries to achieve shared technical milestones. A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for customer experience, along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on projects and shape the future of AI in a fast-paced, collaborative, and impactful environment. The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment. The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
May 25	Senior Product Manager, Infrastructure Reliability	Kirkland, WA	$235,000	Define and advocate a product goals, strategy, and roadmap for key Infrastructure Reliability areas. Drive  projects aimed at enhancing infrastructure initiative and resilience. Be the customer advoc	Define and advocate a product goals, strategy, and roadmap for key Infrastructure Reliability areas. Drive  projects aimed at enhancing infrastructure initiative and resilience. Be the customer advocate; drive user research, market analysis, and data analysis to deeply understand workflows, pain points, and unmet needs of enterprise customers and service owners. Partner closely with google cloud platform service/product teams, central engineering, capacity planning, data center design and operations, and UX to translate customer needs into well-defined market and product requirements. Drive product launches and program landings with a focus on customer adoption and success. Develop go-to-market strategies and communication plans that clearly articulate the value proposition of reliability capabilities. Manage customer engagements and escalations related to infrastructure resilience and service continuity. At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $192,000-$278,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 25	Group Product Manager, Cloud Storage	Kirkland, WA	$287,000	Define and execute the product strategy and roadmap for high-performance storage solutions on Google Cloud, ensuring alignment with evolving market needs and internal infrastructure capabilities. Col	Define and execute the product strategy and roadmap for high-performance storage solutions on Google Cloud, ensuring alignment with evolving market needs and internal infrastructure capabilities. Collaborate with cross-functional engineering teams to deliver integrated storage services that meet the demands of AI and enterprise customers. Drive product-market fit by gathering technical requirements from customers and translating them into prioritized feature sets and long-term product ideas. Manage the product lifecycle, from initial concept and development to go-to-market strategy and global launch. Work with sales, marketing, and solutions architecture teams to develop technical collateral, pricing models, and competitive positioning for the storage portfolio. At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. The team delivers an easy-to-consume storage product with industry-leading performance and scale, unlocking critical AI/ML workloads. The team's mission is to simplify data management for datasets, ensuring that customers can train models faster and gain insights more efficiently through a high-performance storage experience. You will lead the strategy and execution of high-performance storage services designed for demanding workloads. You will drive the development of scalable storage solutions. You will identify market opportunities, build partnerships, define technical requirements, and lead product initiatives to deliver a positive storage experience for global enterprise customers. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $240,000-$334,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 25	Data Center Mechanical Engineer, Cooling Systems	Seattle, WA	$148,000	Serve as a technical lead for our mechanical infrastructure, collaborating with planning, operations, execution, and construction teams to develop new data center mechanical infrastructure systems. I	Serve as a technical lead for our mechanical infrastructure, collaborating with planning, operations, execution, and construction teams to develop new data center mechanical infrastructure systems. Investigate and lead next-generation mechanical systems to align with company long-term strategies, and lead the insertion of new technologies by collaborating with core engineering and operations teams during development. Create system-level concepts and schematic designs, carrying them through to detailed construction designs and operations. Provide and prepare documents including: statement of work, engineering analysis and reports, Failure Modes and Effects Analysis (FMEAC), design documents, product specifications, drawings, budget, cost estimates, schedule, commissioning test plans, and perform engineering analysis using software tools. Collaborate with partner teams to optimize the existing fleet and future products to meet the market demands of Google’s ML fleet. Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run the environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical). Our passion for technology drives everything we do. As a Mechanical Engineer on the Data Center Technology Systems (DCTS), a multidisciplinary group of engineers and architects dedicated to designing next-generation data centers, you will play a key role in developing, analyzing, and optimizing the mechanical cooling infrastructure. You will use various analytical tools to reveal important data points in the design process for efficient mechanical systems. You will be a strong communicator, able to articulate complex ideas concisely across all digital mediums and provide recommendations to cross-functional engineers and architects to enhance our data centers' mechanical systems and accelerate construction. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full-time position is $122,000-$174,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 25	Senior Software Engineer, GenAI GCP Security	Kirkland, WA	$213,000	Write and test product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guideli	Write and test product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains. Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 25	Technical Program Manager, Sustaining Engineering, Full Production Infrastructure Products	Kirkland, WA	$168,000	Work with partner teams to triage Data Center Infrastructure products in the Product Life Cycle (PLC) stage gate process. Engage with vendor resources for managing the full production of products at	Work with partner teams to triage Data Center Infrastructure products in the Product Life Cycle (PLC) stage gate process. Engage with vendor resources for managing the full production of products at scale, including supply chain, product documentation, code compliance, and change management. Provide technical project management for data center engineering site execution issues, including civil, structural, mechanical, architectural, electrical, telecom, and fire protection. Support post-facility-ready projects to extend the life of the existing data center fleet, focusing on product documentation and strategic scaling initiatives. A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. The Technical Program Manager (TPM) for Sustaining Engineering Full Production Infrastructure Products occupies a critical intersection between Sustaining Engineering and Product Management. In this role, you will hold ownership of full production products, managing their entire lifecycle from Full Production through End of Life. You will provide expert technical project management for data center engineering execution, covering disciplines including civil, structural, mechanical, architectural, electrical, telecom, and fire protection. Beyond routine oversight, you will drive strategic initiatives to deliver new data center capacity at scale. Your work is vital in supporting post-facility-ready projects designed to extend the operational life of the existing data center fleet, with a particular emphasis on maintaining rigorous product documentation and strengthening key vendor relationships. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. The US base salary range for this full-time position is $138,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
May 25	Software Engineering Manager, Ads Brand Measurement Audience Models	Kirkland, WA	$253,500	Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams. Set clear expectations with individuals based on their	Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams. Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching. Develop the mid-term technical goal and roadmap within the scope of your (often multiple) team(s). Evolve the roadmap to meet anticipated future requirements and infrastructure needs. Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. In this role, you will build industry leading audience models for Reach (audience size and demographics) and outcomes (awareness, consideration), empowering marketers to understand and optimize impact across the full consumer purchasing journey. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 25	Senior Staff Software Engineer, BigQuery Platform	Kirkland, WA	$313,500	Design and vet complex system architectures, breaking ambiguous problems into solvable components. Lead evolution of BigQuery multi-tenant infrastructure, towards stronger isolation, resource governa	Design and vet complex system architectures, breaking ambiguous problems into solvable components. Lead evolution of BigQuery multi-tenant infrastructure, towards stronger isolation, resource governance and security. Develop product or system code, establish high technical standards for quality, reliability and performance. Build consensus and influence technical strategy through collaboration with leadership. Mentor team members on advanced design techniques and engineering excellence. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google’s software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information. As a Senior Staff Software Engineer in the BigQuery Platform team, you will be responsible for leading the technical directions, designs, and implementation that advance reliable, secure multi-tenant infrastructure for BigQuery. You will use fundamental design principles to build strong isolation and resource governance guarantees, as a strategic differentiator for BigQuery driving Google Cloud growth. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $262,000-$365,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 25	Regulatory Counsel, Content, Consumer Protection and AI	Seattle, WA	$302,500	Interpret laws and other compliance obligations into requirements for Compliance, Business, Product, and Engineering teams. Provide legal advice on compliance programs and policies to help mitigate r	Interpret laws and other compliance obligations into requirements for Compliance, Business, Product, and Engineering teams. Provide legal advice on compliance programs and policies to help mitigate risk. Manage government and regulator discussions, negotiations, and disclosures on compliance readiness efforts. As Regulatory Counsel, Content, Consumer Protection and AI, you will join a global team that provides subject matter expertise and engages with regulators, academics, and others to consider the role of Content, Consumer Protection and AI law in the changing economy, the development of new technology such as Artificial Intelligence, and passage of new laws and regulations. You will be interpreting laws, regulatory engagement, advising product areas on new regulatory requirements, partnering with a variety of internal stakeholders across the company to advise on compliance solutions and mitigate risk, and helping communicate our compliance externally. The US base salary range for this full-time position is $253,000-$352,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 22	Readiness Lead, Technical Program Management, Pre Construction	Seattle, WA	$235,000	Support the development and implementation of hyperscale project procurement strategies and new execution models (e.g., E3, retrofits, panel management company (PMC), powered shells) to meet evolving	Support the development and implementation of hyperscale project procurement strategies and new execution models (e.g., E3, retrofits, panel management company (PMC), powered shells) to meet evolving infrastructure demands. Serve as the DCS lead during project setup and pre-construction, ensuring all deliverables are strictly aligned with safety standards, delivery timelines, and commercial objectives. Lead collaborative efforts across data center functions including operations, supply chain, and front end planning to ensure seamless project handovers and resource mobilization. Drive regional consistency by identifying lessons learned and developing scalable processes that enable and efficient operational execution across the program. A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. DCS (Data Center Services Team) is accountable to safely deliver high-quality data center capacity and infrastructure solutions (including new builds and capital improvements) on time and within budget. We achieve this through a highly collaborative and transparent approach, leveraging our internal and external teams to support Google's mission of organizing the world's information. As a DCS Readiness Lead, you will play a crucial role in the establishment of execution strategies for new campuses. We are looking for a strong performer who has experience in the mission critical space. You will be able to engage with a wide variety of internal and external stakeholders. You will be comfortable with diving into the details while also feeling comfortable driving executive level alignment across Google and the wider data center industry. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. The US base salary range for this full-time position is $192,000-$278,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 22	Forward Deployed Engineer II, Applied AI, Google Cloud	Seattle, WA	$179,000	Serve as the lead developer for conversational AI and customer experience applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model con	Serve as the lead developer for conversational AI and customer experience applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment. Architect and code conversational flows that are not just functional, but optimized for the connective tissue between Google’s Conversational AI products and customers’ live infrastructure, including APIs, legacy data silos, and security perimeters. Build high-performance evaluation (Eval) pipelines and observability frameworks to optimize agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking. Identify repeatable field patterns and technical "friction points" in Google’s AAI stack, converting them into reusable modules or product feature requests for Engineering teams. Co-build with customer engineering teams to instill Google-grade development best practices, ensuring project success and end-user adoption. As a Forward Deployed Engineer (FDE) in Applied AI, you will be the Agent Engineer and the primary driver for our customers' most critical AI initiatives. You will take initial conversational prototypes and transform them into production-ready solutions, owning the end-to-end engineering lifecycle, including the transition from "art of the possible" to real-world business value and scalable, secure AI systems. This is a high-travel, high-impact role focused on leading technical delivery for conversational AI pilots and establishing the first customer user journeys (CUJs) for our largest customers at their sites. You will have an understanding of software engineering, Machine Learning operations, and cloud infrastructure. It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 22	Forward Deployed Engineer III, Generative AI, Google Cloud	Seattle, WA	$213,000	Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that driv	Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment. Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team. Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency. Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams. Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap. It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 22	Technical Account Manager, Google Cloud Consulting, Media, Entertainment and Gaming	Seattle, WA	$138,500	Accelerate customer adoption of Google Cloud by leading the implementation journey. Provide technical guidance and manage timelines, milestones, migration goals and business transformation strategies	Accelerate customer adoption of Google Cloud by leading the implementation journey. Provide technical guidance and manage timelines, milestones, migration goals and business transformation strategies. Advocate for customer needs in order to overcome adoption blockers and drive new feature development. Lead across multiple work streams and teams to maintain customer momentum. Develop relationships with stakeholders to understand customer’s business, develop strategic roadmaps, and lead quarterly business reviews and executive sessions to better understand business and technical needs. Plan for customer events and launches, partnering with Support, Engineers, and Site Reliability Engineers to ensure customer success, and work with customers and support to guide issues/escalations to resolution. Develop best practices and assets based on learnings from customer engagements to support initiatives to scale through partners and accelerate Google Cloud adoption. The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Technical Account Manager (TAM), you will help customers successfully adopt Google Cloud products. You will lead the successful adoption of Google Cloud at organizations, guiding them through the strategic and technical facets of their Google Cloud transformation journey. You will manage the successful delivery of Cloud Consulting engagements to drive customer adoption of Google Cloud services. In this role, you will regularly engage with various stakeholder groups, including leadership of enterprises and a cross-functional and geographically dispersed team. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $114,000-$163,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 22	Staff Research Scientist, AI2 Research	Kirkland, WA	$253,500	Author research papers to share and generate impact of research results across organization and in the research community. Assist in research growth by sharing research trends and best practices with	Author research papers to share and generate impact of research results across organization and in the research community. Assist in research growth by sharing research trends and best practices within the community by reviewing academic papers, and serving on program committees and grant panels. Deliver on large portions of a project by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed. Identify new and upcoming research areas by interacting with potential external and internal collaborators. Develop long-term research strategy and plans to expand the impact of Google research. Identify complex but defined problems/gaps in existing technology and engage stakeholders and leaders to address them. As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Join a team of research scientists and engineers that are managing real world problems for Google to help AI transform the world! The team addresses AI research challenges motivated by Google's mission to organize the world's information and make it universally accessible and useful. We focus on solve grand scientific and engineering challenges in science, systems, and infrastructure via AI, foundation models, and agentic solutions. We work on a range of high-impact problems with the goal of maximizing both scientific and real-world impact – both pushing the state-of-the-art in AI in top venues and collaborating across teams to bring innovations to production. The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 22	Technology Optimization and Platform Solutions Manager	Seattle, WA	$287,000	Lead the Business Controls, Technology Optimization, and Platform Solutions Team, responsible for scaling and automating global AI infrastructure operations through innovative technical solutions and	Lead the Business Controls, Technology Optimization, and Platform Solutions Team, responsible for scaling and automating global AI infrastructure operations through innovative technical solutions and data-driven decision tools. Partner with business teams to develop problem statements that drive optimal tooling solutions, conducting market research and business recommendations across Construction, Design, Finance, and Accounting to ensure Business Controls scale with evolving program requirements. Develop scalable processes in partnership with business and technical subject matter experts, prioritizing AI-first solutions and sound data management to ensure optimal execution within tooling architectures. Lead and mentor a high-performing team of functional TPgMs, providing strategic direction, personalized career development, and intuitive organizational design to support efficient scaling and a culture of professional growth. Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers. Using your extensive technical and leadership expertise, you manage various Engineering-specific programs and teams. As the Leader of the Business Controls, Technology Optimization, and Platform Solutions team, you will drive the strategic evolution of Google’s global AI infrastructure within the Google Data Center organization. You will bridge the gap between business requirements and technical execution, partnering with cross-functional stakeholders in Design, Construction, and Operations to mature processes and deploy robust, AI-first tooling architectures. By overseeing the entire systems lifecycle—from market research and solution vetting to long-term maintenance—you will ensure that data-driven decision-making is embedded at every level of the organization. A critical component of this role is high-level people leadership; you will manage and mentor a team of Technical Program Managers (TPgMs), fostering a culture of innovation while designing efficient organizational structures that scale alongside Google’s infrastructure demands. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. The US base salary range for this full-time position is $240,000-$334,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 22	Senior Software Engineer, BigQuery Managed Storage	Kirkland, WA	$213,000	Write and test product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other develope	Write and test product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. BigQuery is an exabyte scale cloud-based data warehouse. It is a multi-tenant system storing exabytes of user data. BigQuery storage is the component responsible for getting user data in and out of BigQuery, and how to automatically optimize its physical shape for scale, speed, and ease of use. Drive the Metamorphosis of BigQuery into a high-throughput transactional platform. We will transform how users interact with and manage their data, by implementing core transactional features, change history, fine-grained Data Manipulation Language (DML), and Change Data Capture (CDC) upserts for both Iceberg and native managed tables, amplified by Vortex. In this role, you will help us build and deliver a data mutation platform for BigQuery and have a huge impact on BigQuery, Data Analytics, and GCP. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 22	Software Engineer III, AI/ML, Google Workspace	Kirkland, WA	$179,000	Write product or system development code.  Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, che	Write product or system development code.  Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,) Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. AI will change the future of work in profound ways, and our products— Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world. The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 22	Technical Program Manager, Sustaining Engineering, Full Production Infrastructure Products	Kirkland, WA	$200,000	Work with partner teams to triage Data Center Infrastructure products in the Product Life Cycle (PLC) stage gate process. Engage with vendor resources for managing the full production of products at	Work with partner teams to triage Data Center Infrastructure products in the Product Life Cycle (PLC) stage gate process. Engage with vendor resources for managing the full production of products at scale, including supply chain, product documentation, code compliance, and change management. Provide technical project management for data center engineering site execution issues, including civil, structural, mechanical, architectural, electrical, telecom, and fire protection. Support post-facility-ready projects to extend the life of the existing data center fleet, focusing on product documentation and strategic scaling initiatives. A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. The Technical Program Manager (TPM) for Sustaining Engineering Full Production Infrastructure Products occupies a critical intersection between Sustaining Engineering and Product Management. In this role, you will hold ownership of full production products, managing their entire lifecycle from Full Production through End of Life. You will provide expert technical project management for data center engineering execution, covering disciplines including civil, structural, mechanical, architectural, electrical, telecom, and fire protection. Beyond routine oversight, you will drive strategic initiatives to deliver new data center capacity at scale. Your work is vital in supporting post-facility-ready projects designed to extend the operational life of the existing data center fleet, with a particular emphasis on maintaining rigorous product documentation and strengthening key vendor relationships. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 22	Senior Software Engineer, Google Cloud Compute Infrastructure	Kirkland, WA	$213,000	Write and test product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other develope	Write and test product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, with your technical expertise you, will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving channel behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 22	Product Manager, Storage Capacity and Business Optimization	Kirkland, WA	$200,000	Be the commercial strategist for critical agreements, advising on the right product mix for customers and driving the right economics for the Storage business. Own the engagement with a range of cust	Be the commercial strategist for critical agreements, advising on the right product mix for customers and driving the right economics for the Storage business. Own the engagement with a range of customers to understand their capacity needs, pain-points as well as work with them to optimize their Storage footprints. Partner across Capacity Planning, Product and Engineering teams to align capacity planning and ordering workflows, ensuring product launches and GTM efforts are backed by seamless capabilities to deliver for our customers. Develop an understanding of the industry and emerging participants such as neoclouds are radically changing the infrastructure-as-a-service space and ensure our sustained leadership in this industry. At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We keep our networks up and running, ensuring our users have the best and fastest experience possible. We own the capacity optimization for Google's Storage portfolio of products across the Technical Infrastructure layers of the stack all the way to Google Cloud Platform. In this role, you will work closely with several teams to build products that make our customers. You'll be a critical leader within the team, ensuring that Google remains the most trusted cloud platform. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 22	Senior Finance Analyst, Capacity Planning	Kirkland, WA	$173,500	Partner with cross-functional finance, planning, and product teams to provide "Go/No-Go" recommendations for data center expansions and procurement. Manage the evolution of data center cost guardrail	Partner with cross-functional finance, planning, and product teams to provide "Go/No-Go" recommendations for data center expansions and procurement. Manage the evolution of data center cost guardrails and analyze lease agreement structures to align with profit and loss health and workload-specific requirements. Collaborate with capacity planning to model scenarios for location-specific supply-demand matching and recommend deployment paths. Direct the 5-year power and business forecasting for new regions, integrating inputs from go-to-market (GTM), data science, and operations. Present financial narratives, capital expenditure/operating expenditure (CapEx/OpEx) efficiency opportunities, and roadmaps to stakeholders across cloud and technical infrastructure leadership. Financial Analysts ensure that Google makes sound financial decisions. As a Financial Analyst, your work, whether it's modeling business scenarios or tracking performance metrics, is used by our leaders to make strategic company decisions. Working on multiple projects at a time, you are focused on the details while finding creative ways to take on big picture challenges. As someone who knows the workings of the core Finance team inside and out, you'll lead individual projects to transform planning, tracking and control processes. You'll provide senior level management with insightful recommendations, planning and reporting support. Google Cloud Platform is changing the way the world accesses compute power. As global compute capacity rapidly shifts to the public cloud and artificial intelligence (AI) and machine learning (ML) take flight, Google Cloud delivers virtualized compute, big data/analytics, and machine learning tools to its customers at scale and speed, exposing Google’s infrastructure to external customers. Google Cloud is a growing product area at Google. In this role, you will support the Product, Engineering, and Operations teams that build and promote Google Cloud products. Within Cloud Expansion Finance, you will oversee new product launches, data center launch planning, and long range planning for existing infrastructure (including Google sites, third-party sites, and networking infrastructure), and more. The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business. The US base salary range for this full-time position is $142,000-$205,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 22	Senior Research Scientist, AI2 Research	Kirkland, WA	$213,000	Author research papers to share and generate impact of research results across function and in the research community. Help in growing research business by sharing research trends and best practices	Author research papers to share and generate impact of research results across function and in the research community. Help in growing research business by sharing research trends and best practices within the community. Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed. Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research. Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them. As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Join a great team of research scientists and engineers that are addressing real world problems for Google to help AI transform the world! The team addresses AI research issues motivated by Google's mission to organize the world's information and make it universally accessible and useful. We focus on solving grand scientific and engineering issues in science, systems, and infrastructure via AI, foundation models, and agentic solutions. We work on a range of unique problems with the goal of maximizing both scientific and real-world impact – both pushing the AI in top venues and collaborating across teams to bring innovations to production. The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 22	Software Engineer, Cloud SDK	Kirkland, WA	$179,000	Write high-performance product or system development code to build, support, and maintain C++ client libraries within the Cloud SDK. Participate in, or lead design reviews with peers and stakeholders	Write high-performance product or system development code to build, support, and maintain C++ client libraries within the Cloud SDK. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies, such as evolving language versions or adopting Open Telemetry. Review code developed by other developers and provide feedback to ensure best practices (e.g., Google C++ style guidelines, accuracy, testability, and efficiency). Contribute to existing documentation or educational content for C++ developers and adapt content based on product updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the source of issues and their impact on service operations and quality. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Google Cloud SDK team is the programmatic front door to Google Cloud Platform (GCP). We empower developers to build and manage applications by providing high-quality API client libraries, command-line tools (gcloud CLI), and essential developer infrastructure. The Cloud C++ team specifically focuses on making GCP the premier destination for C++ developers, bridging the gap between high-performance systems and global cloud scale.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 22	Senior Software Engineer, AI/ML, AI and Infrastructure	Kirkland, WA	$213,000	Write and test product or system development code.  Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidel	Write and test product or system development code.  Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 21	Partner Engineer III, System Integrator, Google Cloud	Seattle, WA	$187,500	Enable system integrator (SI) partners technical teams, capabilities, and capacity through proof of concept (PoC's)/demos, develop partners through sessions/training, ensuring they are familiarized w	Enable system integrator (SI) partners technical teams, capabilities, and capacity through proof of concept (PoC's)/demos, develop partners through sessions/training, ensuring they are familiarized with our solutions and updated with latest information about our products. Recommend and review integration strategies, enterprise architectures, platforms and application infrastructure required to implement complete solutions on Google Cloud. Work with Partner Managers to develop partners, considering partner's technical strategy/knowledge and go-to-market (GTM) (co-develop/co-deliver) capabilities. Build out partner specialization and expertise and build Google cloud platform (GCP) Practices (center of excellence (COE's) within partners). Coach and support partner(s) in customer opportunities or delivery projects. Drive technical wins of SI partners, and alignment of SI partners to customer opportunities. The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. In this role, you will work closely with Partner Development Managers to grow and support the Google Cloud partner ecosystem. You will understand the technical capabilities of our partners and will recommend the right partner to our customers. You will lead the effort to enable partners across technologies and solutions. You will contribute to customer adoption of Google Cloud by supporting partners as they illustrate how Google Cloud services can help customers innovate, bring their services to market faster, differentiate against the competition, and create new business growth streams. You will help partners succeed in the proof of concept, migration and deployment phase, ensuring they have full access to Google Cloud’s artifacts, tools, templates, and best practices. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $153,000-$222,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 21	Senior Interaction Designer, Local Ads	Seattle, WA	$195,000	Collaborate with product managers, engineers, and cross-functional stakeholders to understand requirements, and provide creative, thoughtful solutions. Communicate the user experience at various stag	Collaborate with product managers, engineers, and cross-functional stakeholders to understand requirements, and provide creative, thoughtful solutions. Communicate the user experience at various stages of the design process with wireframes, flow diagrams, storyboards, mockups, or high fidelity prototypes. Integrate user feedback and business requirements into ongoing product experience updates. Advocate for the prioritization of design centered changes, refinements, and improvements. At Google, we "Focus on the user and all else will follow." Our Interaction Designers transform complex tasks into intuitive, easy-to-use experiences for billions of people. From creating user flows and wireframes to building mockups and prototypes, you will envision and bring product experiences to life with an inspired, refined, and magical feel. You will join our multi-disciplinary UX team, collaborating with Engineering and Product Management, leveraging user insights to create industry-leading products. As an Interaction Designer, you'll apply user-centered design methods to craft industry-leading user experiences from concept to execution, working with design partners to evolve the Google design language to build beautiful, innovative products. Google Ads is fundamental to our core mission of powering the open and free internet. Central to this is our efforts on Search Ads and Ads on Google Experiences (SAGE) which provides users with ads that are valuable, trusted and transparent. We are looking for a UX Designer to shape the future of Offline and Communication Ads. In this role, you will be dedicated to creating a seamless and powerful user experience for advertisers, helping them bring their businesses online and connect them with local customers in the real world. Users come first at Google. Nowhere is this more important than on our Advertising and Commerce team: we believe that ads and commercial information can be highly useful to our users if that information is relevant to what our users wish to find or do. Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores. We are constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow. The US base salary range for this full-time position is $159,000-$231,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 21	Strategic Negotiator III, Data Center Land Development and Portfolio Management	Seattle, WA	$184,000	Negotiate with providers and AHJs for all utility infrastructure (power, water, wastewater, gas, roads), development, and interconnection agreements. Ensure third-party and Google delivered utility e	Negotiate with providers and AHJs for all utility infrastructure (power, water, wastewater, gas, roads), development, and interconnection agreements. Ensure third-party and Google delivered utility extensions are timely and appropriately contracted, ensuring firm capacity and schedules, cost effective payment structures, and protective terms.  Drive campus readiness by managing zoning, entitlements, easements, and assisting with environmental permitting. Conduct impact studies to align site preparation with critical construction schedules. Serve as the primary liaison for utility supply strategy, facilitating negotiations between internal teams and providers to secure the resources necessary for planned data center developments. Oversee development activities to meet or exceed delivery timelines set by internal capacity planning teams, ensuring infrastructure is available ahead of operational needs. The AI and Infrastructure (AI2) team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. All user-facing online services are supported by a global network of data centers. The Infrastructure Construction and Asset Management (ICAM) team, a component of the broader AI2 organization, is responsible for overseeing Google's off-site infrastructure, inventory land development, and both leased and owned data center assets. This includes construction and delivery of off-site infrastructure projects, administration and management of leased obligations, land development, and management of inventory properties. As a Strategic Negotiator and Portfolio Manager, you will work with the land acquisition team and other cross functional project teams to ensure that owned land assets complete all required pre-data center construction development activities to meet the requirements of the asset supply plan of record (APOR) for data center capacity delivery, which includes delivering sites at the time, cost, capacity, and with the characteristics as required, ensuring the ability to construct reliable, scalable, and cost-effective data center capacity. You will serve as the main site lead post-site acquisition through end of life for relevant site activities, maintaining and facilitating internal and external relationships necessary for continued development and operational success. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $150,000-$218,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 21	Senior Staff Software Engineer, BigQuery Core Analytics	Kirkland, WA	$313,500	Design and advocate significant refactoring and re-architecture efforts within the Dremel related components to improve modularity, testability, and isolation. Identify key areas of technical debt an	Design and advocate significant refactoring and re-architecture efforts within the Dremel related components to improve modularity, testability, and isolation. Identify key areas of technical debt and develop strategies to address them, unblocking future development and reducing system fragility. Collaborate with Engineering Productivity and SRE teams to streamline the development, testing, and release processes, enabling faster iteration and higher quality releases. Architect solutions that improve fault isolation and reduce the blast radius of failures, ensuring BigQuery rock-solid reliability. Work with other executive leads across BigQuery to align on long-term technical direction and ensure Dremel's architecture can support future product needs. Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. BigQuery is a cornerstone of Google Cloud's data analytics offerings, processing exabytes of data for our customers. The Dremel query engine is at the heart of BigQuery. As a Staff Software Engineer, you will play a pivotal role in modernizing the Dremel codebase. This is a unique opportunity to handle significant technical challenges, drive architectural evolution, and directly improve the reliability, isolation, and engineering velocity for one of Google's most critical services. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $262,000-$365,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 21	Staff Security Engineer, Product Security Engineering	Kirkland, WA	$253,500	Architect secure operational protocols and distributed systems from inception, embedding threat modeling and defensive design principles into the core engineering lifecycle. Lead comprehensive securi	Architect secure operational protocols and distributed systems from inception, embedding threat modeling and defensive design principles into the core engineering lifecycle. Lead comprehensive security design reviews for business-critical infrastructure, balancing deep-dive tactical assessments with long-term strategic engineering engagements. Review designs for vulnerabilities, both with one-time reviews and longer term engagements, using techniques including reverse engineering, fuzzing, and static analysis. Scale solutions and influence cross-organizationally. Respond to vulnerabilities with repos, mitigations, and hardening. Surface vulnerability patterns and design them out. There's no such thing as a "safe system" - only safer systems. Our Security team works to create and maintain the safest operating environment for Google's users and developers. As a Security Engineer, you help protect network boundaries, keep computer systems and network devices hardened against attacks and provide security services to protect highly sensitive data like passwords and customer information. Security Engineers work directly with network equipment and actively monitor our systems for attacks and intrusions. You also work with software engineers to proactively identify and fix security flaws and vulnerabilities. You use your industry experience to own and drive the resolution of complex security incidents, policy questions and technical security issues. The Cloud CISO Security Engineering team within the Cloud CISO organization is responsible for helping ensure every product that Cloud ships is as secure as it can be and increasing the assurance levels of security in the infrastructure underlying all our products. This team also focuses on increasing the capabilities of each product team to develop more secure products by design and by default, from patterns, tools and frameworks to increasing the skill level of embedded security leads. As an information security engineer you will help to ensure that our software and systems are designed and implemented to the highest security standards. You will perform technical security assessments, code reviews, and vulnerability testing to highlight risk, helping Google teams and partners to improve security, and work on a wide variety of software designs and technology stacks. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 21	Mechanical Engineer, Cooling System Design and Analysis	Seattle, WA	$209,500	Develop chip-to-chiller steady-state and transient models to optimize performance and predict complex failure modes through system-level energy and failure analyses. Investigate and innovate next-gen	Develop chip-to-chiller steady-state and transient models to optimize performance and predict complex failure modes through system-level energy and failure analyses. Investigate and innovate next-generation mechanical systems and emerging cooling technologies using thermodynamic principles to align with the strategic company objectives Create system-level concepts and schematic designs while guiding technology engagement through cross-functional collaboration with Engineering and Operations teams. Perform evaluations factoring in Capital Expenditure (Capex), utility consumption to vet proposals from internal innovators, research institutes, and external suppliers. Author technical documentation and white papers to present research findings to leadership, ensuring infrastructure is optimized for the evolving demands of the machine learning fleet. Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical). The Thermal Systems Engineering team stands at the forefront of accelerating innovation that powers Google's global infrastructure. As a Mechanical Research Engineer on the Data Center Technology Systems (DCTS), a multidisciplinary group of engineers and architects dedicated to designing next-generation data centers, you will play a key role in developing, analyzing, and optimizing the mechanical cooling infrastructure. You will use various analytical tools to reveal important data points in the design process for efficient mechanical systems. You will be an excellent communicator, able to articulate complex ideas concisely across all digital mediums and provide recommendations to cross-functional engineers and architects to enhance our data centers' mechanical systems and accelerate construction. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. The US base salary range for this full-time position is $171,000-$248,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 21	Data Center Engineer, Electrical Engineering	Seattle, WA	$209,500	Collaborate with core teams to understand and develop data center electrical designs, from Basis of Design (BOD) to Issue for Construction (IFC), for new data center projects and infrastructure upgra	Collaborate with core teams to understand and develop data center electrical designs, from Basis of Design (BOD) to Issue for Construction (IFC), for new data center projects and infrastructure upgrades. Manage all power system issues throughout the project lifecycle, including concept design, detailed design, procurement, bidding, manufacturing, delivery, and site installation. Generate scopes of work for equipment portions of major infrastructure upgrades and update internal design specifications, drawings, and standards with lessons learned to ensure continuous improvement. Interface closely with global commodities, manufacturers, and cross-functional engineering teams to deliver electrical solutions, ensure vendor QA/QC, and achieve successful product delivery per internal and external standards. Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical). As the Data Center Electrical Engineer you will be involved in the development of complex electrical infrastructure from site assessments and concept design to greenfield construction and major modifications of existing infrastructures on global capital projects. You will prepare documentation including Statements of Work (SOW), Total Cost of Ownership (TCO) analysis, concept designs, drawing markups, budgets, schedules, factory test documents, final commissioning reports, and the review of as-builts and submittals.Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. The US base salary range for this full-time position is $171,000-$248,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 21	Monetization Experience Specialist, Trust and Safety	Kirkland, WA	$142,000	Analyze publisher and policy performance metrics to identify systemic gaps and recommend policy iterations to ensure business growth remains aligned with ecosystem safety standards. Coordinate the lo	Analyze publisher and policy performance metrics to identify systemic gaps and recommend policy iterations to ensure business growth remains aligned with ecosystem safety standards. Coordinate the logistical rollout of monetization policy updates by building execution trackers and ensuring publishers receive clear, timely guidance for compliance. Design and operationalize a proactive, publisher-facing educational strategy to simplify policies, reduce partner friction, and ensure all training materials remain accurate and relevant. Act as the operational bridge between regional Account Management and Global Policy teams to ensure consistent implementation of monetization safety initiatives. Identify common points of friction in the advertiser safety journey and maintain data reports that track how messaging improvements impact partner satisfaction. Ensure advertiser-facing safety materials are synchronized with current policy enforcement practices through regular collaboration with product and enforcement teams. Trust and Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. As a Monetization Experience Specialist, you will drive the operational excellence and long-term health of safety programs that protect our advertising and publishing ecosystems. Your role focuses on the practical execution and maintenance of safety frameworks that allow our monetization ecosystem to grow responsibly. You will ensure that policies are clearly communicated, consistently applied, and effectively tracked across the external partner journey. While your primary focus will be on the publisher monetization experience, you will also contribute to the advertiser experience by refining Trust and Safety communications and support materials. You will also manage essential workflows, coordinate with cross-functional partners, and report on the continued health of our advertising platform. At Google we work hard to earn our users’ trust every day. Trust and Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages. The US base salary range for this full-time position is $117,000-$167,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 21	Product Manager I, Storage Capacity and Business Optimization	Kirkland, WA	$168,000	Support PRDs by collaborating with partner teams (e.g., engineers, PgMs, UX) during product design and development to implement the requirements.  Define product roadmaps by operationalizing defined	Support PRDs by collaborating with partner teams (e.g., engineers, PgMs, UX) during product design and development to implement the requirements.  Define product roadmaps by operationalizing defined strategy. Articulate defined product goal in a way that captures attention and compels others to drive action despite obstacles and competing priorities.  Validate the market size and opportunity (e.g., user-based, strategic opportunity, revenue). Identify opportunities in the market landscape.  Facilitate launches, maintenance, and retirement in collaboration with other cross-functional teams and stakeholders. At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. The Storage team is a critical part of Google Infrastructure as well as GCP. It is responsible for providing core Storage products in Cloud like Cloud Storage, File Solutions, Backup and Disaster Recovery, Storage Management and Data Transfer Solutions. This team is also responsible for the Storage infrastructure that is the foundation for all of Google including products like Google Search, Ads, YouTube, Photos, Workspace, Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $138,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 21	Product Strategy and Operations Lead, AI and Infrastructure	Seattle, WA	$184,000	Identify problems and issues across the organization and define/lead programs and processes to solve them. Influence team members and executive management to act and drive projects to completion. Est	Identify problems and issues across the organization and define/lead programs and processes to solve them. Influence team members and executive management to act and drive projects to completion. Establish and lead operating processes and tools for effectively managing the organization and achieving goals. Product and Business Strategy Leaders bring together teams across Google’s functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines. Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects. We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands. The Artificial Intelligence and Infrastructure (AI2) organization is responsible for delivering compute, platforms, and tools powering Google's AI-first products, research, and cloud. At a scale, price, and efficiency years ahead of what is possible anywhere else in the world, AI2 is foundational to maintaining Alphabet’s leadership in Artificial Intelligence. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $150,000-$218,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 21	Senior Software Engineer, Applied AI, Commerce	Kirkland, WA	$213,000	Lead the definition and execution of quality metrics for the Shopping Agent, ensuring response accuracy, safety, and brand alignment across multimodal interactions (e.g., text, voice, and image). Des	Lead the definition and execution of quality metrics for the Shopping Agent, ensuring response accuracy, safety, and brand alignment across multimodal interactions (e.g., text, voice, and image). Design and implement automated evaluation pipelines and "golden datasets" for complex shopping journeys, including virtual try-on, reasoning, and support queries. Collaborate with research and modeling teams to perform quality evaluations for foundational models, optimizing prompts and grounding to reduce hallucinations and improve conversion outcomes. Develop integration tests for agentic actions (e.g., add-to-cart and checkout). Ensure seamless interoperability between the Shopping Agent and Customer Service Agent platforms. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will build the operational foundation for modern commerce, embedding intelligence directly into a retailer’s infrastructure to strengthen customer relationships. You will be launching a deployable, multimodal Shopping Agent—a full-stack concierge capable of reasoning, virtual try-on, and seamless business and support. By leveraging Google’s foundational AI (Gemini and Vertex AI), you will aim to ensure every new agent enhances the entire ecosystem. You will help improve the quality of a product designed to transform brands from invisible warehouses into hyper-personalized, intelligent destinations. The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment. The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 21	Software Engineer III, Infrastructure/Cloud Storage	Seattle, WA	$179,000	Develop cloud-based storage systems. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide	Develop cloud-based storage systems. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Tune performance and scale in large-scale distributed systems. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Google Customer Solutions (GCS) Protocols Team maintains and evolves GCS's API and its implementation, orchestrating serving path interactions with external services, and driving efforts to unify and simplify serving stacks. As an engineer on the team, you will play a pivotal role in accelerating AI workloads for our customers. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 21	Software Engineer III, Generative AI, Agent Engineering	Kirkland, WA	$179,000	Partner directly with select, strategic customers to understand their business challenges. Design, co-develop, debug, and deploy custom conversational AI agents and solutions to accelerate their time	Partner directly with select, strategic customers to understand their business challenges. Design, co-develop, debug, and deploy custom conversational AI agents and solutions to accelerate their time to value. Act as a high-level problem solver, empowered to write bespoke code, develop custom tooling, and even contribute directly to the core product codebase to resolve critical customer issues. Systematize your learnings from customer engagements by creating reusable tools, building robust documentation and accelerators, and establishing best practices that can be used across the organization. Serve as a critical feedback loop to our core Product and Engineering teams. Synthesize firsthand insights from the field to influence product strategy, identify feature gaps. Guide customers on agent performance, CI/CD, and production readiness. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As an Applied AI Agent Engineer (AE), you will be at the forefront of applying Google's Generative AI to solve real-world challenges for our most strategic customers. You will act as a specialized software engineer embedded with key accounts, working to build, deploy, and optimize sophisticated AI agents on our CES platform. This is a high-impact role that bridges the gap between our core product engineering teams and complex customer needs, directly accelerating customer success and shaping the future of our AI products. The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment. The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 21	Technical Program Manager III, ML Strategy and Allocations, Cloud AI	Kirkland, WA	$200,000	Architect data reconciliation frameworks to unify disparate datasets from multiple systems (e.g., resource symphony, allocation data, and fleet guidance), ensuring a single, high-fidelity source of t	Architect data reconciliation frameworks to unify disparate datasets from multiple systems (e.g., resource symphony, allocation data, and fleet guidance), ensuring a single, high-fidelity source of truth for the ML fleet. Audit and resolve data discrepancies across cross-functional team inputs to maintain the integrity of fleet capacity and usage metrics. Develop and maintain complex investigative models that enable real-time, dynamic forecasting of ML fleet supply and demand, accounting for hardware transitions and shifting deployment timelines. Engineer automated dashboards that provide leadership with what-if scenario modeling to visualize the impact of divestments or increased GPU demand on the total fleet. Translate fleet capacity into actionable allocation plans for Product Areas (PAs), ensuring resource distribution aligns with Google’s ML priorities and commitments. A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. The Machine Learning Strategy and Allocations Program Management Office (PMO) sits at the core of Google's AI resource governance, working directly with executive product and AI leadership and driving strategic alignment across the entire AI ecosystem. We partner with all aspects of the company to enable the capacity allocation, planning, and governance for one of the world's largest Machine Learning fleets in the era of AI, ML, and Agents. Our mission is to ensure that Google’s most critical AI products from Gemini and Search to Cloud and YouTube have the right ML compute at the right time to achieve maximum business and technical impact. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 21	Forward Deployed Engineer II, Generative AI, Google Cloud	Seattle, WA	$179,000	Serve as a developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measur	Serve as a developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment. Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team. Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency. Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams. Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. As a Generative AI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap. It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google
May 21	Project Controls Manager, Commercial and Program Controls, West Region	Seattle, WA	$231,500	Own and lead the integrated project controls (cost, schedule, risk, change) for the sub-region, driving proactive thinking and planning for project control implementation from the sites through to th	Own and lead the integrated project controls (cost, schedule, risk, change) for the sub-region, driving proactive thinking and planning for project control implementation from the sites through to the regions and the wider program. Act as a trusted business partner for DCS partners and other key cross-functional stakeholders, ensuring effective communication, collaboration, and connectivity to support project delivery. Provide oversight of GC performance, ensuring compliance with contractual project control requirements (cost, schedule, risk, change), including the onboarding of GCs to Google's requirements and managing the assurance and compliance of their deliverables and execution. Manage the selection, onboarding, and oversight of the managed service project controls vendors for the sub-region scope, driving cost reductions, efficiencies, and ensuring high performance. A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines. As a Sub-Region Project Controls Manager (PCM), you will lead a team that provides direct, integrated project control support for the delivery of multiple data center projects within their assigned sub-region. This is a partnership role, ensuring projects are delivered on time, within budget, and to the agreed processes and standards. In this role, you will be responsible for the overall integrated oversight and leadership of all elements of project controls, including cost, commercial requirements, schedule, risk and change management, and localized estimating integration. You will be empowered to make decisions alongside your data center services (DCS) partners to uphold the mission of go fast, safely together, proactively seeking ways to accelerate delivery without compromising core principles and fiduciary duties. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $189,000-$274,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 21	Forward Deployed Engineer III, Google Cloud, Applied AI	Seattle, WA	$213,000	Serve as the lead developer for conversational artificial intelligence (AI) and customer experience (CX) applications, transitioning from rapid prototypes to production-grade agentic workflows. Archi	Serve as the lead developer for conversational artificial intelligence (AI) and customer experience (CX) applications, transitioning from rapid prototypes to production-grade agentic workflows. Architect and code conversational flows that are not just functional, but optimized for the "connective tissue" between Google’s Conversational AI products and customers’ live infrastructure, including APIs, legacy data silos, and security perimeters. Build high-performance evaluation (Eval) pipelines and observability frameworks to optimize agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking. Identify repeatable field patterns and technical "friction points" in Google’s AAI stack, converting them into reusable modules or product feature requests for Engineering teams. Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. As a Forward Deployed Engineer (FDE) in Applied AI, you are the "Agent Engineer" and the primary driver for our customers' most critical AI initiatives. You take initial conversational prototypes and transform them into production-ready solutions, owning the end-to-end engineering lifecycle, including the transition from "Art of the Possible" to real-world business value and scalable, secure AI systems. This is a high-travel, high-impact role focused on leading technical delivery for Conversational AI pilots and establishing the first Customer User Journeys (CUJs) for our largest customers at their sites. This role requires an understanding of software engineering, machine learning operations, and cloud infrastructure. It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 21	Staff Software Engineer, Google Compute Engine	Seattle, WA	$253,500	Define and drive the technical outlook, strategy, and architectural evolution for the guest platform, ensuring alignment with broader organizational goals. Lead, mentor, and coach a team of software	Define and drive the technical outlook, strategy, and architectural evolution for the guest platform, ensuring alignment with broader organizational goals. Lead, mentor, and coach a team of software engineers, fostering a culture of technical excellence, innovation, and collaboration. Collaborate closely with product managers, security engineers, UX designers, and other engineering teams to deliver high-quality solutions. Instill best practices in software development, including code quality, testing, monitoring, and operational excellence within the team. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Google Compute Engine Guest Platform team optimizes the customer experience by simplifying agent deployment for critical workloads like SAP and AI/ML. We enhance security with OS login and drive operational excellence through guest health monitoring and metric collection. In this role, you will define the technical outlook and architecture for the platform while leading a team of software engineers. You will design core components to solve security, scalability, and reliability issues. Additionally, you will collaborate with cross-functional partners, including product managers and designers, to deliver high quality solutions and instill software development best practices. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 21	Senior Technical Program Manager I, Data Center NPI, Cloud Infrastructure	Kirkland, WA	$235,000	Lead and drive complex and often ambiguous NPI programs for new servers, storage, networking, power, cooling, and ML hardware from concepts through full production. Define and drive requirements for	Lead and drive complex and often ambiguous NPI programs for new servers, storage, networking, power, cooling, and ML hardware from concepts through full production. Define and drive requirements for serviceability, deployability, and maintainability of new products in the data center environment while acting as the primary liaison between engineering design teams and data center operations teams. Understand product designs, assess risks, and contribute to technical problem-solving including resolving hardware/software issues during new product introduction phases. Build and lead cross-functional program teams, ensuring alignment on goals and responsibilities. Identify potential risks to program success (e.g., technical, schedule, operational), as well as drive root cause analysis and corrective actions for issues arising during new product introduction (NPI). A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. As a Data Center NPI Technical Program Manager, you will lead the introduction of new hardware and infrastructure products into Google's data centers. You will own the operational workstreams within the product lifecycle, ensuring new technologies can be deployed, operated, and serviced efficiently, safely, and at scale. You will have a blend of strong program management expertise, technical acumen related to data center technologies, and the ability to lead large, complex cross-functional teams. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. The US base salary range for this full-time position is $192,000-$278,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 21	Senior Security Engineer, Product Security Engineering	Kirkland, WA	$213,000	Perform security reviews, research and reproduce vulnerabilities, design secure protocols and systems, and write tests and fuzzers. Review and develop secure operational practices, and provide securi	Perform security reviews, research and reproduce vulnerabilities, design secure protocols and systems, and write tests and fuzzers. Review and develop secure operational practices, and provide security guidance for engineers and support staff. Review designs and look for vulnerabilities, both with one-time reviews and longer term engagements. Look for vulnerabilities with techniques including reverse engineering, fuzzing, and static analysis. Architect solutions for scalability. Respond to vulnerabilities with repos, mitigations, and hardening. Surface vulnerability patterns and design them out. There's no such thing as a "safe system" - only safer systems. Our Security team works to create and maintain the safest operating environment for Google's users and developers. As a Security Engineer, you help protect network boundaries, keep computer systems and network devices hardened against attacks and provide security services to protect highly sensitive data like passwords and customer information. Security Engineers work directly with network equipment and actively monitor our systems for attacks and intrusions. You also work with software engineers to proactively identify and fix security flaws and vulnerabilities. You use your industry experience to own and drive the resolution of complex security incidents, policy questions and technical security issues. The Cloud CISO Security Engineering team within the Cloud CISO organization is responsible for helping ensure every product that Cloud ships is as secure as it can be and increasing the assurance levels of security in the infrastructure underlying all our products. This team also focuses on increasing the capabilities of each product team to develop more secure products by design and by default, from patterns, tools and frameworks to increasing the skill level of embedded security leads. As an information security engineer you will help to ensure that our software and systems are designed and implemented to the highest security standards. You will perform technical security assessments, code reviews, and vulnerability testing to highlight risk, helping Google teams and partners to improve security, and work on a wide variety of software designs and technology stacks. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 20	Regulatory Counsel, Privacy	Seattle, WA	$302,500	Interpret laws and other compliance obligations and advise Compliance, Business, Product, and Engineering teams on requirements. Provide legal advice on compliance programs and policies to help mitig	Interpret laws and other compliance obligations and advise Compliance, Business, Product, and Engineering teams on requirements. Provide legal advice on compliance programs and policies to help mitigate risk. Manage government and regulator discussions, negotiations, and disclosures on compliance readiness efforts. As a Regulatory Counsel, Privacy, you will join a Global team that provides subject matter expertise and engages with regulators, academics, and others to consider the role of privacy law in accordance with our changing economy, the development of new technology, and passage of new laws and regulations. Your role involves interpreting laws, partnering with internal stakeholders across the company to mitigate risk, and helping communicate our compliance externally. 20th century laws don't always solve 21st century problems, and Google Legal crafts innovative approaches for working with some of the toughest legal challenges of the information age. Whether you're a patent attorney, an intellectual property expert or an engineer headed to law school, Google Legal lets you address unanswered legal quandaries and create new precedents. Our innovative services raise challenging questions that demand creative and practical answers. We provide those answers by working at the crossroads of the law and new technology, helping Google build innovative and important products for users around the world. The US base salary range for this full-time position is $253,000-$352,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 20	Data Center Mechanical/Thermal Cooling Engineer	Kirkland, WA	$176,500	Act as the definitive technical resource for mechanical contractors, resolving ambiguities in Piping and Instrumentation Diagram (P&IDs) and ductwork layouts to maintain construction momentum. Pe	Act as the definitive technical resource for mechanical contractors, resolving ambiguities in Piping and Instrumentation Diagram (P&IDs) and ductwork layouts to maintain construction momentum. Perform periodic site walk-throughs to verify that mechanical installations align with engineered specifications, focusing on pressure testing, weld inspection requirements, insulation integrity, and equipment placement. Ensure that both evaporative and non-evaporative systems are installed to meet Google and project specific standards and requirements. Lead the field-side RFI process, identifying potential spatial or mechanical conflicts and providing immediate engineering solutions to avoid rework. Facilitate cross-discipline collaboration with control systems and electrical teams to ensure internal design specifications are met. Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical). As a Mechanical/Thermal Cooling Engineer, you will have a deep technical knowledge in large-scale thermal management. You will serve as the primary on-site authority, ensuring that complex cooling infrastructures—essential for high-availability environments—are installed, integrated, and optimized according to design intent. To act as the Lead Technical Point of Contact (POC) for all mechanical and HVAC-related engineering questions during the construction phase. You will be the 'boots on the ground' expert responsible for bridging the gap between high-level thermal designs and physical site execution, ensuring maximum system reliability and efficiency. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. The US base salary range for this full-time position is $144,000-$209,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 20	Staff Software Engineer, AI-Powered GRC Automation	Seattle, WA	$253,500	Define and drive the technical strategy and architecture for a scalable platform supporting AI-driven Governance, Risk, and Compliance (GRC) functions, while owning the end-to-end design and implemen	Define and drive the technical strategy and architecture for a scalable platform supporting AI-driven Governance, Risk, and Compliance (GRC) functions, while owning the end-to-end design and implementation of significant platform components. Lead the development and implementation of novel AI/ML models and algorithms to automate and scale Continuous Controls Monitoring (CCM), privacy control enforcement, audit processes, risk reporting, and other GRC workflows, address ambiguous problems and making key design trade-offs. Oversee processes for assessing data signal quality, designing and leading the engineering of scalable data pipelines to ingest, process, and validate various datasets for training AI models. Build and disseminate a deep understanding of control objectives, scope, implementation, and the data signals required for effective, AI-enhanced monitoring and validation, while mentoring team members and influencing stakeholders on these aspects. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a part of this team, you will be at the forefront of transforming Governance, Risk, and Compliance (GRC) for Google Cloud and Technical Infrastructure (TI). You will build an intelligent, AI-powered platform to automate and scale critical GRC functions. Your mission is to engineer innovative solutions that leverage Artificial Intelligence and Machine Learning to provide continuous assurance, enforce privacy, streamline audits, enhance reporting, and power real-time Continuous Controls Monitoring (CCM), ultimately safeguarding Google's security and compliance posture. The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 20	Senior Software Engineer, Full Stack	Kirkland, WA	$213,000	Write and test product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other develope	Write and test product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 20	Associate Regulatory Counsel, Privacy	Seattle, WA	$266,500	Interpret laws and other compliance obligations and advise Compliance, Business, Product, and Engineering teams on requirements. Provide legal advice on compliance programs and policies to help mitig	Interpret laws and other compliance obligations and advise Compliance, Business, Product, and Engineering teams on requirements. Provide legal advice on compliance programs and policies to help mitigate risk. Manage government and regulator discussions, negotiations, and disclosures on compliance readiness efforts. Regulatory Affairs helps the company innovate responsibly and comply with laws around the world. We partner with teams across Global Affairs, Product Areas, and the rest of the company to ensure constructive engagement with governments and regulators while mitigating risk. As an Associate Regulatory Counsel in Privacy, you will join a Global team that provides subject matter expertise and engages with regulators and others to consider the role of privacy law in the changing economy, development of new technology, and passage of new laws and regulations. You will be involved in interpreting laws, partnering with internal stakeholders across the company to mitigate risk, and help communicate our compliance externally. The US base salary range for this full-time position is $218,000-$315,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 20	Senior Software Engineer, AI/ML GenAI, Google Cloud AI	Kirkland, WA	$213,000	Write and test product or system development code.  Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidel	Write and test product or system development code.  Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,) Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
May 20	Mechanical Engineer, Cooling System Modular Design	Kirkland, WA	$176,500	Serve as the technical lead for global mechanical infrastructure, leading the design, testing, and deployment of custom data center cooling components and next-generation technologies. Implement offs	Serve as the technical lead for global mechanical infrastructure, leading the design, testing, and deployment of custom data center cooling components and next-generation technologies. Implement offsite modular construction and pre-fabrication strategies to streamline deployment timelines and improve infrastructure scalability. Conduct detailed thermal analysis, computational fluid dynamics (CFD), and hydraulic modeling of complex air and waterside systems to validate proposed technologies. Collaborate with Planning, Operations, and Execution teams to optimize the fleet and integrate complex mechanical systems parallel to project schedules to support machine learning demands. Prepare and deliver comprehensive engineering project packages, including statements of work, product specifications, drawings, and commissioning test plans. Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical). As a Mechanical Engineer within the Data Center Technology Systems team, you will serve as a technical lead for our global mechanical infrastructure. You will pioneer next-generation cooling systems, innovating custom components and integrating modular design and pre-fabrication strategies to accelerate construction. Collaborating across Planning, Operations, and Execution teams, you will lead new technologies to optimize future products for Google’s machine learning fleet. You will leverage advanced software tools to conduct detailed thermal analysis, computational fluid dynamics, and hydraulic modeling of complex air and waterside systems. Your deep understanding of thermodynamics will drive the creation of critical engineering specifications and commissioning plans. A concise communicator, you will deliver actionable recommendations to cross-functional partners, ensuring data center scalability and efficiency. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full-time position is $144,000-$209,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .