Group Product Manager, Google Maps AI Platform

Drive Product Requirements Documents by overseeing collaboration with partner teams (e.g., engineers, Program Managers, User Experience) during product design.Oversee definition of product roadmaps.Develop and secure buy-in for a product goals that identifies, defines, and supports the overall product narrative and direction, achieving an outcome that is greater than the sum of its parts.Oversee validation of market size and opportunity (e.g., user-based, opportunity, business). Lead the team through defining, identifying, collecting, and tracking appropriate product or business metrics, both quantitative and qualitative for new or existing products or business ventures.Minimum qualifications:Bachelor's degree or equivalent practical experience.10 years of experience in product management or related technical role.5 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 a technology or business related field.5 years of experience in a role preparing and delivering technical presentations to executive leadership.Experience with geospatial solutions, Google Maps APIs, or generative AI developer tools (e.g., LLM grounding, agentic toolsets, MCP).Experience defining product goal, multi-year roadmaps, and executing strategy across cross-functional engineering, UX, and GTM teams.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.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.As a Group Product Manager on the Geo Makers team, you will shape the Google Maps AI Platform. You will lead a two-part mission to enhance AI quality and strategically integrate both traditional and non-agentic AI models, defining the next era of geospatial technology.The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $240000 - $333000 (USD) + 25% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree or equivalent practical experience.10 years of experience in product management or related technical role.5 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.