Group Product Manager, Maps Agentic Capabilities and Experiences

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.

More than two billion people rely on Google Maps to navigate and explore the real world. As GenAI revolutionizes how users access information, Google Maps is working to combine our fresh, factual world understanding with advanced GenAI to unlock fundamentally new ways of engaging with the world.

As a Group Product Manager, you will drive the product strategy and roadmap for Agentic Capabilities and Experiences. In this role, you will redefine how users solve real-world problems by partnering with a cross-functional team across Engineering, UX, Research, Legal, and Privacy. You will take complex AI concepts from 0-to-1 launch, flex between deep technical execution and high-level strategy, and drive alignment across Geo and wider Google teams.

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.

The US base salary range for this full-time position is $240,000-$334,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Develop the strategy and drive execution for business-critical efforts requiring strong partnership across core Google teams.
• Bring folks along and find a path forward balancing stakeholder feedback. Act as a fast-moving tactical operator who can dig deep into complex technical details and provide clear direction to Engineering teams.
• Take accountability for user problems by demonstrating user empathy and applying a mixture of quantitative and qualitative approaches to problem-solving.
• Use your AI fluency and creative thinking to understand a rapidly changing agentic AI landscape and define features that transform how users interact with the physical world through Google Maps.
• Bring a platform-first mindset to translate user-facing experiences into strong, reliable agentic frameworks.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 10 years of experience in product management or a 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.).

Preferred qualifications:

• Understanding of the evolving AI agent landscape, including Large Language Model (LLM) tool-use, Model Context Protocol (MCP), structured data feeds, and commercial platform integrations (via Universal Commerce Protocol (UCP)).
• Ability to be creative with strong product craft, and grow when defining net-new conversational AI features, agentic behaviors, and experiences with no precedent, and taking to scaled production.
• Ability to successfully ship AI models or applications at scale, or demonstrates rapid learning agility in space.
• Ability to build scalable platform frameworks that scale across a matrixed organization.
• Ability to build prototypes and run analysis.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.