Product Manager, Google Distributed Cloud, AI Compute Infrastructure

Company: Google
Location: Sunnyvale
Posted on: April 2, 2026

Job Description:

Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience in product management, or a related technical role. 5 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.). Preferred qualifications: Master's degree in a technology or business related field. 7 years of experience in strategic business functions, such as strategic marketing, business operations, or management consulting. 7 years of experience leading complex initiatives across Engineering, UX/UI, Sales, and Finance. 5 years of experience preparing and delivering high-stakes technical presentations to executive leadership. Expertise in air-gapped operations and international compliance frameworks. Ability to negotiate and co-develop product roadmaps with major silicon vendors and Original Equipment Manufacturers (OEMs). 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. Google Distributed Cloud (GDC) is a private Cloud platform that enables enterprises and public sector organizations to run modern apps anywhere consistently at scale. We offer a wide spectrum of solutions from managed software on your own hardware, fully managed hardware and AI-led software services, to completely air-gapped sovereign offerings. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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. 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. The US base salary range for this full-time position is $240,000-$334,000 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 Lead the strategy for GDC AI Compute Infrastructure supporting next-gen AI workloads. Lead the integration, deployment, and optimization of Gemini Infrastructure in air-gapped and regulated environments, ensuring performance and compliance. Drive the strategic selection and lifecycle management of AI accelerators, optimizing for TCO (Total Cost of Ownership), power constraints, and FLOPS utilization. Architect the compute requirements for both large-scale training and low-latency inferencing, including model quantization, batching, and serving optimization. Identify and resolve architectural bottlenecks and scaling challenges to ensure infrastructure reliability across globally distributed data center environments.

Keywords: Google, Modesto , Product Manager, Google Distributed Cloud, AI Compute Infrastructure, Sales , Sunnyvale, California