Senior Product Manager

• 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.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in product management or related technical role.
  
• 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
• Experience with AI/ML technologies and integrating them into consumer or enterprise user experiences.

Preferred qualifications:

• Master's degree in a technology or business related field.
  
• Experience partnering with AI/ML research teams, model builders, or working with large-scale generative AI foundation models (e.g., LLMs)
• Experience in the education technology (EdTech) sector or a strong background in pedagogical principles.
• Demonstrated ability to navigate pivots and advocate for product needs across executive leads within large organizations.
• Strong ability to define product metrics, analyze data, and translate insights into actionable product requirements.

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.

Google's projects, like our users, span the globe and require product managers to keep the big picture in focus while being able to dive into the unique issues we face daily in the education sector. AI will change the future of education and work in profound ways, and our products—Classroom, Gemini, Search, YouTube, and Workspace for Education—are at the forefront. As a Senior Product Manager for Google for Education, you will define the product goals and strategy for bringing AI-based innovations to our learning and teaching tools. You will plan requirements, identify user needs, and user products through the entire life-cycle. You're equally at home explaining your team's product strategy to executives as you are discussing the technical trade-offs in AI model integration with engineers.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $279000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA; San Francisco, CA, USA.

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in product management or related technical role.
  
• 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
• Experience with AI/ML technologies and integrating them into consumer or enterprise user experiences.