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Product Manager II, Chrome AI, Autonomous Agent Quality

Job Description

Posted on: 

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.

Chrome is re-imaging itself as a trusted AI partner for the web, and our team builds high-quality, reliable, and low-latency models to power safe and secure AI features.

In this role, you will drive the goals, infrastructure, and execution for Gemini in Chrome to operate as a continuous, autonomous agent, building the foundation that allows Gemini to run persistently in the background and execute complex tasks safely.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience in product management or related technical role.
  • 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
  • Experience developing or launching products or technologies within Artificial Intelligence or Machine Learning (AI/ML).

Preferred qualifications:

  • Master's degree in a technology or business related field.
  • 3 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
  • 3 years of experience in a role preparing and delivering technical presentations to executive leadership.
  • 2 years of experience in software development or engineering.
  • 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
  • 1 year of experience in technical leadership.
  • Define and drive the product goal, roadmap, and execution strategy for integrating persistent, autonomous agents into Chrome.
  • Build and scale the core infrastructure enabling continuous, stateful agent operations, background task scheduling, and proactive execution.
  • Expand agent action capabilities by developing secure integrations with browser controls, system-level APIs, and local environments.
  • Drive the creation of specialized, multi-step evaluation frameworks and infrastructure to test reasoning, tool usage, and web actuation quality.
  • Collaborate cross-functionally with engineering, user experience (UX), and partner teams to translate product requirements into clear team goals and execution plans.
  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience in product management or related technical role.
  • 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
  • Experience developing or launching products or technologies within Artificial Intelligence or Machine Learning (AI/ML).
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