Senior Product Manager, AI Operations, Google Distributed Cloud

Company: Google
Location: Cupertino
Posted on: March 28, 2026

Job Description:

Minimum qualifications: Bachelors degree or equivalent practical experience. 8 years of experience in product management or a 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). Preferred qualifications: Masters degree in a technology or business related field. 10 years of product management experience, expert in launching technical artificial intelligence products and features. Experience with managing production deployments across the key facets of operations, support, deployment, troubleshooting. Experience in artificial intelligence infrastructure (GPUs), virtualization, and containerization. Understanding of AI and agentic technologies. Ability to analyze market and customer data, interpret data sets, and use insights to drive product strategy and decisions. 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 worlds information. Were 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 fully managed product portfolio that brings Google Cloud’s infrastructure and services closer to where customer data is being generated and consumed. In this role, you will empower customers to run Cloud Services in their own (or a partner) data center, or at the edge, alongside enterprise applications to support mission-critical use cases such as Google Artificial Intelligence edge inferencing. 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 $192,000-$278,000 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 Define the goal, strategy, and roadmap for the Google Distributed Cloud AI operations, improving the daily life of GDC operators powered with AI. Collaborate closely with customers to define AI product requirements and architecture specifically for the operators in the public sector space, prioritize features, and oversee the product development life-cycle from concept to landing. Build and maintain relationships with key stakeholders and customers to understand their needs, gather feedback, and translate them into actionable product improvements. Identify and address technical risks, infrastructure bottlenecks, and scaling tests. Work effectively with various teams, including engineering, design, marketing, business, support, and other stakeholders, to ensure successful product execution.

Keywords: Google, Davis , Senior Product Manager, AI Operations, Google Distributed Cloud, IT / Software / Systems , Cupertino, California