Senior Product Manager, AI Models and Agentic Platforms on GDC

Senior Product Manager, AI Models and Agentic Platforms on GDC Google Kirkland, WA, USA Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. Benefits 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 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 - $279000 (USD) + 20% bonus target + equity + benefits 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 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. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy. 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. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form. 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. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. #J-18808-Ljbffr Google