Senior AI-Driven EdTech Product Manager

Google; Mountain View (CA); Hybrid; USD 192,000 - 279,000; Full time

Benefits offered by this job

Equity

Bonus Target

Benefits

Job summary

Google for Education seeks a Senior Product Manager to define the product goals and strategy for bringing AI-based innovations to learning tools. You will plan requirements, identify user needs, and guide products through the entire life-cycle.

You will work with executives and engineers to discuss trade-offs in AI model integration, balancing user impact with technical feasibility and privacy considerations.

Qualifications

• Bachelor's degree or equivalent practical experience required.
• 8 years of experience in product management or related technical role.
• 3 years of experience taking technical products from conception to launch.
• Experience with AI/ML technologies and integrating them into consumer or enterprise user experiences.

Responsibilities

• Define and drive the product strategy, goals, and roadmap for AI-based learning and teaching innovations across the Google for Education portfolio.
• Leverage AI tools and models to solve complex educational problems and scale the impact for students and teachers globally.
• Define and manage a product portfolio solving problems that goal high business impact for the organization and product area.
• Partner seamlessly with UX research to understand the evolving needs of educators and learners, translating those insights into clear product requirements.
• Ensure all AI-driven features adhere to safety, privacy, and accessibility standards, particularly regarding student data and learning environments.

Skills

Product management experience

End-to-end product development

AI/ML integration

Cross-functional collaboration

Education

Bachelor's degree or equivalent practical experience

Master's degree (preferred)

Tools

AI/ML platforms

Job description

Google for Education seeks a Senior Product Manager to define the product goals and strategy for bringing AI-based innovations to learning tools. You will plan requirements, identify user needs, and guide products through the entire life-cycle.

You will work with executives and engineers to discuss trade-offs in AI model integration, balancing user impact with technical feasibility and privacy considerations.