Senior Product Manager, Google Maps AI Platform

Responsibilities

• Lead PRDs by collaborating with partner teams (e.g., engineers, PgMs, UX) during product design and development to implement the requirements to turn PRDs into OKRs for multiple teams.
• Own and define project roadmaps.
• Drive development and secure buy-in for a product goal that identifies, defines, and supports the overall product narrative and direction, achieving an outcome that is greater than the sum of its parts.
• Manage validation of market size and opportunity (e.g., user-based, strategic opportunity, business).
• Lead and harmonize processes to define, identify, collect, and track appropriate product or business metrics, both quantitative and qualitative for new or existing products or business ventures.
• - Lead PRDs by collaborating with partner teams (e.g., engineers, PgMs, UX) during product design and development to implement the requirements to turn PRDs into OKRs for multiple teams. - Own and define project roadmaps. - Drive development and secure buy-in for a product goal that identifies, defines, and supports the overall product narrative and direction, achieving an outcome that is greater than the sum of its parts. - Manage validation of market size and opportunity (e.g., user-based, strategic opportunity, business). - Lead and harmonize processes to define, identify, collect, and track appropriate product or business metrics, both quantitative and qualitative for new or existing products or business ventures.

Minimum qualifications:

Preferred qualifications:

Qualifications

• 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. - Experience in AI/ML product development, including model evaluation frameworks (evals), quality benchmarks, or data governance. Preferred qualifications: - Master's degree in Computer Science, Engineering, AI/ML, or in a related technical field. - Experience defining product goal, multi-year roadmaps, and executing strategy across cross-functional engineering, UX, and GTM teams. - Experience in building consensus and influencing product strategy across multiple partner teams and stakeholders. - Experience with geospatial solutions, Google Maps APIs, or generative AI developer tools (e.g., LLM grounding, agentic toolsets, MCP). - Experience designing automated/self-healing data pipelines, data inferencing systems, or data quality platforms. - Experience with enterprise AI governance, trust and safety policy, or partnering directly with field engineers and customer facing product teams.