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Job Details
Posted date: Sep 19, 2025
Location: Kirkland, WA
Level: Director
Estimated salary: $244,000
Range: $197,000 - $291,000
Description
Provide technical leadership to a team of software engineers, foster a culture of innovation, collaboration, and continuous learning. Define and execute the technical strategy for leveraging AI to enhance developer productivity and feature velocity across Workspace infrastructure. Design, develop, and maintain robust, scalable, and secure infrastructure that incorporates AI/ML solutions to automate and optimize development workflows, testing, deployment, and operational tasks. Analyze existing development processes and infrastructure to identify bottlenecks and areas for improvement, implementing AI-driven solutions to enhance efficiency and reduce lead times. Collaborate with product managers, other engineering teams, and research teams to understand their needs, gather requirements, and integrate AI solutions effectively into the Workspace ecosystem.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 $197,000-$291,000 + 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.
Qualifications
Minimum qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience in software development, with a focus on infrastructure, developer tools, or platform engineering. 5 years of experience in a technical leadership role leading project teams and setting technical direction. Experience with large-scale distributed systems and cloud platforms. Experience in one or more general-purpose programming languages (e.g., C++, Java, Python, Go).Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures/algorithms. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. Understanding of AI/ML concepts and their application in optimizing software development workflows. Understanding of Google Workspace products or similar collaboration platforms. Knowledge of web and mobile applications, preferably Android.
Extended Qualifications
Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience in software development, with a focus on infrastructure, developer tools, or platform engineering. 5 years of experience in a technical leadership role leading project teams and setting technical direction. Experience with large-scale distributed systems and cloud platforms. Experience in one or more general-purpose programming languages (e.g., C++, Java, Python, Go).Check out other jobs at Google.