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Job Details
Posted date: Jun 13, 2025
Location: Seattle, WA
Level: Director
Estimated salary: $298,500
Range: $248,000 - $349,000
Description
Set technical strategy for multiple teams contributing to building the Code Assist general purpose agent. Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
Drive technical project strategy, lead large-scale GenAI application optimization, and oversee the design and implementation of GenAI solutions.
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.
Gemini Code Assist is an AI-powered, built for enterprise, SaaS portfolio that enhances the Software Development Life-Cycle (SDLC) by providing contextual code assistance, focusing on quality and performance. In this role, you will be responsible for staying ahead in this fluid space and quickly realizing next-gen solutions to new problems. You will recognize how Large Language Models (LLMs) have fundamentally changed software development, driving us to new innovative ways.A conversational AI tool that enables users to collaborate with generative AI and help augment their imagination, expand their curiosity, and enhance their productivity.
The US base salary range for this full-time position is $248,000-$349,000 + 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 or equivalent practical experience.8 years of experience in software development. 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
5 years of experience with design and architecture; and testing/launching software products.
5 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures/algorithms. 5 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in an organization involving cross-functional, or cross-business projects. 3 years of experience with building Agentic AI products.
Extended Qualifications
Bachelor’s degree or equivalent practical experience.8 years of experience in software development. 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
5 years of experience with design and architecture; and testing/launching software products.
5 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
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