Product Manager, Agent AI, gUP

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 are responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.
As a Product Manager in gUP TSI, you will help drive the next generation of customer support tooling capabilities, leveraging AI to advance how we enable human agents to deliver exceptional support. You will be responsible for gathering requirements, writing clear specifications, conducting data analysis to understand agent and user behavior, and coordinating with cross-functional teams to ensure new features and capabilities are delivered effectively to address user needs and contribute to business objectives. You will need to have experience with generative AI, be comfortable navigating ambiguity to address complex problems, and have experience building capabilities from scratch. In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration and more).Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google (https://www.google.com/about/careers/applications/benefits/).

Minimum qualifications:

- Bachelor's degree or equivalent practical experience.

- 5 years of experience in product management or a related technical roles.

- 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).

- Experience working with Generative AI or Agentic AI products.

Preferred qualifications:

- Experience working closely with engineering to understand infrastructure design and tradeoffs.

- Experience turning broad, ambiguous problems into clear, well-structured projects.

- Ability to define metrics, analyze experiments, generate insights, and communicate results to the wider organization.

- Ability to collaborate with complex, cross-functional teams on high-velocity projects.

- Excellent communication skills including presenting regularly to executive leadership.

- Drive the end-to-end product development life-cycle for specific features or components, from requirements gathering to launch and post-launch analysis.

- Conduct user and agent research, analyze behavior, and leverage data to identify pain points and opportunities, ensure features meet user needs and business objectives.

- Define clear and concise product requirements, user stories, and acceptance criteria. Prioritize features and backlog items based on impact and feasibility.

- Partner closely with Engineering, UX, Research, and Operations teams to ensure alignment, clear communication, and smooth execution throughout the product development process.

- Define key success metrics for your features, monitor performance, and iterate based on data to improve user outcomes and achieve product goals.