Product Manager, Search Intelligence

GoogleMountain View, New York City, San Francisco, New York, CaliforniaOn-siteFull-timeMid level, 2–5 yearsListed 3 hours ago

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About this role

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.

In this role you will own critical Search improvements that leverage the best of web quality to power next-generation AI experiences, including AI Answers and Overviews. You will work on the cutting edge of GenAI, defining product strategy and unlocking complex new use cases. This is a highly collaborative role where you will partner closely with Research, Search Quality, and cross-functional engineering teams. You will have direct ownership of model output evaluation, analyzing patterns, and translating user research insights into actionable product quality efforts.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $197000 (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.

- 3 years of experience in product management or a related technical role.

- 1 year 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.

Preferred qualifications:

- Master's degree in a technology or business related field.

- 2 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).

- 2 years of experience in a role preparing and delivering technical presentations to senior leadership.

- 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.

- 1 year of experience in software development or engineering.

- Knowledge of, or continued interest in building accessibility best practices, and experience/curiosity for incorporating accessibility into product development methodologies.

- Define product strategy for key modeling capabilities and quality improvements that unlock new, complex use cases for AI Answers in collaboration with Research and Search Quality teams.

- Lead direct model output and response evaluation, analyzing patterns and integrating user research insights to inform product quality prioritization.

- Drive the development of measurement systems and autoraters to enable fast, continuous product improvement.

- Navigate the complexities of the Generative AI and Search product landscape to build and ship technical products for billions of users.

- Operate strategically in an ambiguous, rapidly evolving environment to facilitate the successful scaling of AI on Google Search.