Job description

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. The Developer Knowledge Platform (DKP) team builds the core infrastructure that powers Google’s developer ecosystem. As Senior Product Manager for DKP, you will own the outlook, strategy, and outcomes for how Google's developer knowledge reaches AI agents. You will lead the Developer Knowledge API, the canonical programmatic source for Google’s developer documentation. 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 Learn more about benefits at Google . • Drive DKP product strategy from interactions with developers, business stakeholders, and AI ecosystem partners. • Establish evaluation frameworks for documentation grounding and RAG pipelines, including automated benchmarks and loss-pattern analyses. • Lead cross-organizational adoption of the Developer Knowledge API as the grounding layer for Google’s agentic developer tools. • Set product direction for new patterns in agent-facing APIs, including authentication, authorization, quota, and telemetry. • 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). • Experience integrating generative AI tools or LLM interfaces into workflows. 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). • Experience integrating generative AI tools or LLM interfaces into workflows. Preferred qualifications: • Experience navigating ambiguity while building and shipping 0 to 1 products for cloud-native developers. • Experience building multimodal or contextual AI agent capabilities such as real-time grounding on official documentation. • Experience collaborating with support and technical operations teams to leverage AI agents for support ticket deflection and issue resolution. • Familiarity with AI agent architectures, specifically retrieval-augmented generation (RAG) and multi-agent coordination.w • Familiarity with AI evaluation and benchmarking, including loss-pattern analysis from user feedback and human evaluations with external vendors. • Familiarity with the Google Cloud ecosystem, including Vertex AI, Cloud client libraries, and modern AI developer tools.

Requirements

Must-haves

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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Drive DKP product strategy from interactions with developers, business stakeholders, and AI ecosystem partners.
Establish evaluation frameworks for documentation grounding and RAG pipelines, including automated benchmarks and loss-pattern analyses.
Lead cross-organizational adoption of the Developer Knowledge API as the grounding layer for Google’s agentic developer tools.
Set product direction for new patterns in agent-facing APIs, including authentication, authorization, quota, and telemetry.
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).
Experience integrating generative AI tools or LLM interfaces into workflows.
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).
Experience integrating generative AI tools or LLM interfaces into workflows.

Nice-to-haves

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Experience navigating ambiguity while building and shipping 0 to 1 products for cloud-native developers.
Experience building multimodal or contextual AI agent capabilities such as real-time grounding on official documentation.
Experience collaborating with support and technical operations teams to leverage AI agents for support ticket deflection and issue resolution.
Familiarity with AI agent architectures, specifically retrieval-augmented generation (RAG) and multi-agent coordination.w
Familiarity with AI evaluation and benchmarking, including loss-pattern analysis from user feedback and human evaluations with external vendors.
Familiarity with the Google Cloud ecosystem, including Vertex AI, Cloud client libraries, and modern AI developer tools.

Application prep

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Keywords to mirror

aiapillm

Platform: google
Effort: medium