Senior Product Manager, Cloud AI, Gemini API

Senior Product Manager, Cloud AI, Gemini API corporate_fare Google place Sunnyvale, CA, USA bar_chart Advanced Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Minimum qualifications:

Bachelor's degree in Computer Science or related technical field, or equivalent practical experience. 8 years of experience in product management, including experience with agentic frameworks and tool-us. 5 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 building and shipping technical products. Experience with the domain area of Generative AI and Large Language Models (LLMs).

Preferred qualifications:

Experience working in cross-functional environments, driving alignment between Research, Engineering, and GTM teams. Experience building and shipping developer-facing APIs, tools, or platforms. Understanding of managed AI infrastructure and architecture. Familiarity with agentic frameworks and tool-use. Passion for developer experience with a track record of simplifying complex technical 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. We build the APIs and tools that developers and agents use to bring intelligence to their applications. We focus on enterprise developer audiences, empowering them with exceptional experiences that also provide them with compliance and controls they require. We're growing at a phenomenal rate and building a suite of net new products to go higher, faster. As a Senior Product Manager, you will lead product development for the Gemini API, specifically focused on the next generation of agentic capabilities. You will bridge the gap between complex research breakthroughs and developer-friendly abstractions, making agentic workflows accessible to developers across the Gemini Enterprise Agent Platform ecosystem. 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 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 . Responsibilities Translate complex technical requirements for agents, including sandbox environments, tool use (e.g., Google Search, Code Execution), and skills into a coherent, manageable product strategy. Lead developer tool improvements in partnership with GDM, abstracting infrastructure complexity so developers can build, scale, govern, and optimize agents. Evolve the Interactions API as the unified standard for serving both models and agents. Solve for industry standards like RESTful design, streaming, and state management. Lead the product lifecycle from 0-to-1 launches, ensuring seamless evolution of user journeys from developer-friendly AI Studio to region-aware and enterprise-ready Google Cloud Agent Platform (formerly known as Vertex AI).