Google
Senior Product Manager, AI Data Intelligence
Found: Today
Senior Product Manager, AI Data Intelligence
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.
Mission: Transform Google from a company that uses AI to a company that is powered by AI.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in product management or related technical role.
- 5 years of experience as a Product Manager specifically managing data products, data platforms, or AI features.
- Experience in defining metrics, building evaluation frameworks, and interpreting data telemetry (e.g., user interaction loops, multi-turn conversational trajectories, or system logs).
- Experience in working directly with databases, data architectures, or business intelligence systems.
Preferred qualifications:
- Master's degree in a technology or business related field.
- Experience building and scaling platform features or workflow automation tools that drive internal operational transformation at an enterprise scale.
- Experience in Data Science or Advanced Data Analysis using large-scale data platforms to train, test, and iterate on AI/LLM models.
- Experience building/optimizing AI agents, agentic workflows, or autonomous sub-agents utilizing advanced LLMs or AI-developer tools (e.g., Claude Code or equivalent code-generation agents).
- Strong background in Agent Observability and Performance Analytics evaluating how AI agents are performing, diagnosing failure points in agent trajectories, and measuring their business impact.
Responsibilities
- Define and deliver a goal and strategy for this space.
- Lead the discovery and development of new tools, skills, and sub-agents that address the evolving needs of teams navigating critical data journeys.
- Build out and operationalize the necessary evaluation frameworks (evals) and analytics to ensure each journey improves the velocity and precision of Google's data insights.
- Conduct research and analysis to identify emerging trends and opportunities in the agentic data space.
- Drive cross-functional collaboration across teams to ensure successful product launches, adoption, and integration by communicating effectively with stakeholders at all levels, including engineers, analysts, executives, and internal product partners.
