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Jobs / Product Manager in United States of America
11 days ago
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Google·SaaS·11 days ago
11 days ago

Senior Product Manager, Google Maps AI Platform

Mountain View, United States of AmericaFull-timeSenior · 8+ yearsProduct Manager

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Top 10% of NextRaise users matched against Product Manager roles in United States.

Must-have skills for this role

  • product management
  • generative ai
  • ai/ml
  • llm

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What you'll do

  • 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.

What they're looking for

  • 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.

Nice to have

  • 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.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

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 Senior 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.

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.

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.

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.
SaaS

Company

GoogleSaaS
Mountain View, United States of America

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Google's careers site·first seen 11 Sept 2026·last verified 11 Sept 2026·How we source jobs

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