
Senior Director, Product Management, AI Infrastructure
- Seattle, WA
- Permanent
- Full-time
- 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.
- 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.
- 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.