Technical Program Manager, AI Sovereign Cloud Expansion Leader
Listed on 2026-08-02
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IT/Tech
Cloud Computing: Infrastructure & Operations, IT Project Manager, Systems Engineer, IT Consultant
Technical Program Manager, AI Sovereign Cloud Expansion Leader
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Seattle, WA, USA ; +2 more ; +1 more Advanced
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.
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X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
By applying to this position you will have an opportunity to share your preferred working location from the following:
Kirkland, WA, USA;
Seattle, WA, USA;
Sunnyvale, CA, USA
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- Bachelor's degree in a technical field, or equivalent practical experience.
- 10 years of experience in technical program management.
- 10 years of experience managing execution of programs that span across multiple engineering teams.
- Bachelor's degree in Computer Science or Electrical Engineering, or a Master's degree or PhD.
- Sovereign cloud buildout and hyperscale data center deployment experience, leading programs for scaling cloud expansion while ensuring unparalleled customer experience.
- TPM people management skills and experience.
- Understanding of AI and Cloud infrastructure, platforms, services development, and experience with the latest AI chips and roadmaps.
- Strong business acumen using data modeling to construct analysis, identify business improvement opportunities, measure success, and communicate with stakeholders.
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.
Google Cloud Platform (GCP) is changing the way the world uses cloud computing by exposing our infrastructure and solutions to companies of all sizes, everywhere. The Cloud Foundations Organization (CF) is a GCP product area with a mission to delight customers through the world’s most innovative and trusted cloud infrastructure and solutions, powered by AI.
This role is part of the AI and Cloud Expansion Technical Program Manager (TPM) team, a cross-functional team working closely with data center, capacity, services, and other product and engineering teams, as well as with customers and business teams to deliver and drive scale and efficiency of AI and Cloud expansion programs globally. We are looking for a TPM who has in-depth experience with hyperscale cloud regions, data centers, strategic cloud capacity, cloud customer requirements, and cloud infra technical program management.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits
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