Product Manager, AI Education, Google Search

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 integrating generative AI tools or LLM interfaces into workflows.
• Experience launching products and conducting quantitative product analysis.

• Master's degree in a technology or business related field.
• Experience on LLM prompt design, evaluation, and with working on algorithmic and experimentation-driven systems.
• Experience transforming user needs and research into well-designed product solutions and experience building high quality non-deterministic algorithmic solutions.
• Experience in education tech.
• Experience analyzing user metrics and experiments, and strong understanding of statistics.

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.

The Search EDU team is dedicated to building the world’s most knowledgeable AI for learning. The goal is to enable users to ask Search any educational question in a natural, conversational way, making Google the go-to partner for everything from finishing daily homework to planning a college journey.

In this role, you will make Search's AI answers for education personally useful to a various global audience, ranging from primary school students to lifelong learners. You will collaborate with horizontal teams and ecosystem partners to shape strategic product execution, while working directly on the complete Search AI stack—including prompt design, evaluations, and model evolution. Ultimately, you will drive initiatives that make a meaningful difference in how humanity learns and accesses knowledge.

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: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.

• Define and operationalize product roadmaps by deeply understanding the needs, desires, and constraints of a various learner audience—ranging from primary school students to PhDs and lifelong learners.
• Work directly on the full Search AI stackto drive product development, leveraging prompt design, evaluations, experimentation, and GDM (Google Deep Mind) model evolution.
• Develop product strategy with horizontal teams, determining which educational solutions require vertically deep, tailored execution versus broader, horizontal integration.
• Collaborate across the global education ecosystem to build and launch direct-to-consumer experiences, school and university solutions, and integrated third-party partnerships.
• Drive the end-to-end product lifecycle—from ideation and launch to maintenance—partnering closely with cross-functional teams (e.g., Engineering, UX, PgMs, and Data Scientists) to secure buy-in and achieve the overall product goal.