Product Manager, aiEDU
Listed on Alphabet’s official careers site. Listed as of October 23, 2026. Check that it is still open and apply there.
Apply on Alphabet’s careers site →Job description
info_outline About the job 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. aiEDU team accelerates innovation for Googlers through personalized AI learning.
We drive AI fluency across three pillars
technical onboarding, in-flow learning agents integrated into daily tools, and out-of-flow learning for tailored skill-building. We leverage generative AI to seamlessly integrate education into daily workflows. You will own the multi-year product outlook, platform architecture, and execution for Google's centralized AI learning ecosystem spanning our flagship destination hub, generative course creation, personalization nucleus, and community products.
You will lead execution cross-functionally to turn fragmented resources into a single compounding learning flywheel, partnering with executive stakeholders to align enterprise-wide upskilling strategy. Above all, our team is comprised of builders who stay engaged with modern AI tools, coding agents, and sandbox environments to rapidly build prototypes, validate concepts, and ship scalable platforms.
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