Education AI Product Manager - Shape Next-Gen Learning

Socket.dev

Mountain View (CA)

On-site

USD 163,000 - 236,000

Full time

12 days ago
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Job summary

Google is seeking a Product Manager for the Search EDU team to drive AI-powered education experiences. You will guide products from conception through launch, connecting technical and business perspectives for billions of users worldwide.

You will collaborate with engineers, designers, and data scientists to enhance the Search AI stack, including prompt design and model evolution, with a mission to make learning more accessible.

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

Responsibilities

  • Define and operationalize product roadmaps by understanding learner needs and constraints.
  • Work on the full Search AI stack, including prompt design, evaluations, and model evolution.
  • Develop product strategy with horizontal teams and vertical execution.
  • Collaborate across the global education ecosystem to launch direct-to-consumer experiences and partnerships.
  • Drive end-to-end lifecycle from ideation to maintenance with cross-functional teams.

Skills

Product management experience
End-to-end product launches
AI/LLM integration
Quantitative product analysis

Education

Bachelor's degree or equivalent practical experience
Master's degree (preferred)

Tools

Prompt design & evaluation
Algorithmic & experimentation-driven systems

Job description

Google is seeking a Product Manager for the Search EDU team to drive AI-powered education experiences. You will guide products from conception through launch, connecting technical and business perspectives for billions of users worldwide.

You will collaborate with engineers, designers, and data scientists to enhance the Search AI stack, including prompt design and model evolution, with a mission to make learning more accessible.

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