Senior Director, Product Management, AI Infrastructure - Google : Job Details

Senior Director, Product Management, AI Infrastructure

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info_outline X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Kirkland, WA, USA; Sunnyvale, CA, USA.

• Bachelor's degree in Computer Science, Mathematics, Physics or other relevant engineering discipline, or equivalent practical experience.
• 15 years of experience as a Product Engineering/Management leader with a research background.
• Experience with AI, systems and infrastructure.

Preferred qualifications:

• Master's degree or PhD in Engineering.
• 15 years of professional experience in product management.
• Experience in Generative AI and LLMs.
• Experience leading both product and engineering or research/applied science.
• Ability to quickly ramp up new subject areas with short notice to guide mission-critical research.
• Deep technical expertise in systems and software with the leadership skills to influence technical leaders across the company.

About the jobAs the Senior Director of Product Management for AI Infrastructure will be at the epicenter of Google Cloud's AI infrastructure strategy and execution. You will lead the product organization responsible for Google Cloud's foundational AI offerings, including our cutting-edge Tensor Processing Units (TPUs), high-performance GPU infrastructure, the software stack that powers them, and the end-to-end solutions that enable customers to effectively run every imaginable AI workload on the Cloud.

About the jobAs the Senior Director of Product Management for AI Infrastructure will be at the epicenter of Google Cloud's AI infrastructure strategy and execution. You will lead the product organization responsible for Google Cloud's foundational AI offerings, including our cutting-edge Tensor Processing Units (TPUs), high-performance GPU infrastructure, the software stack that powers them, and the end-to-end solutions that enable customers to effectively run every imaginable AI workload on the Cloud.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud's Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $320,000-$445,000 + 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 .

Responsibilities

• Develop a strategic vision for our AI infrastructure product portfolio, with a strong focus on delivering to our customer needs through innovation and flawless execution.
• Drive the product roadmap for Cloud TPUs and GPUs, including new product introductions, developer experience, control plane functionality, and overall feature set.
• Own the AI infrastructure business end-to-end, including determining pricing models, pricing points, consumption models, and investment decisions across engineering, capital expenditures, R&D investments, and more.
• Drive the most strategic customer engagements at the C-level, from the business cycle all the way through customer success and growth.
• Develop effective partnerships across Google's product areas (e.g., GDM, Core ML.) deeply understanding their strategic data priorities and infrastructure requirements. Follow research trends in AI and systems, and work with the leads to determine the group's research and innovation strategy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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