Senior Product Manager, AI Models and Agentic Platforms on GDC

Google; Sunnyvale (CA); On-site; USD 192,000 - 278,000; Full time

Benefits offered by this job

Health, dental, vision

401(k) with company match

Paid time off 20 days/yr

Sick time 40 hours/yr (69 in Seattle)

Maternity leave 28–30 weeks

Baby bonding leave 18 weeks

13 paid holidays

Job summary

Google in Sunnyvale, CA seeks a Senior Product Manager to lead AI platform initiatives for secure sovereign cloud environments. You will break down complex problems, define strategy, and guide products from conception to launch with cross-functional teams.

You will collaborate with AI research, infrastructure, safety, and business groups to align roadmaps, ensure API compatibility, and deliver Gemini models and agent runtimes for enterprise and public sector customers on Google Distributed Cloud.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in product management or related technical role.
• 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1).
• 3 years of experience with AI Platforms.

Responsibilities

• Define the long-term goal, strategy, and roadmap for bringing AI capabilities, models, and developer platform tools to secure and sovereign cloud environments.
• Partner with engineering to manage onboarding, deploying, and supporting first-party and third-party AI models on secure infrastructure.
• Resolve performance bottlenecks, hardware resource allocation issues, and latency challenges for air-gapped environments.
• Collaborate with public sector and enterprise stakeholders to translate security, safety guardrails, and compliance into secure product designs.
• Align technical roadmaps with cross-company AI research, infrastructure, safety, and business teams; ensure API compatibility and streamlined execution.

Skills

Product management

AI platforms

End-to-end development

Technical leadership

Education

Bachelor's degree or equivalent practical experience

Master's degree in tech or business

Job description

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

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

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in product management or related technical role.
• 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
• 3 years of experience with AI Platforms.

Preferred qualifications

• Master's degree in a technology or business related field.
• Experience designing, launching, or scaling agentic runtime architectures, including execution environments, state and context management, and system routing frameworks.
• Experience designing, building, or launching platform products within secure, or air-gapped sovereign environments.
• Technical understanding of AI inference runtimes, model execution optimization, GPU hardware acceleration, or low-latency serving stacks.
• Familiarity with advanced ML inference optimization techniques (e.g., disaggregated serving, KV cache management, speculative decoding, and model quantization) to support system-level latency and throughput improvements.
• Track record of evaluating price-performance trade-offs, compute node allocation, and capacity planning for inference systems.

About The Job

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

In this role, you will help bring Google's AI capabilities to secure, regulated, and sovereign environments around the world. By supporting model hosting, optimized model execution, and agent runtimes, you will enable enterprise and public sector customers to deploy and scale AI capabilities on Google Distributed Cloud (GDC) with high standards of security, performance, and compliance.

You will help solve complex issues in AI: delivering Gemini models and agentic runtimes to secure sovereign clouds, where you will shape the future of AI for national security, global governments, and regulated enterprise industries.

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: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Define the long-term goal, strategy, and roadmap for bringing AI capabilities, models, and developer platform tools to secure and sovereign cloud environments.
• Partner with engineering to manage the lifecycle of onboarding, deploying, and supporting first-party and third-party AI models to run on specialized secure infrastructure.
• Resolve performance bottlenecks, hardware resource allocation issues, and latency challenges to support performance in air-gapped environments.
• Work closely with key public sector and enterprise stakeholders to translate stringent security, safety guardrails, and compliance requirements into secure product designs.
• Collaborate with cross-company AI research, infrastructure, safety, and business teams to align technical roadmaps, ensure API compatibility, and streamline product execution.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .