Product Manager, aiEDU

Google•San Jose, CA

5d•$163,000 - $236,000

About The Position

At Google, Product Managers work cross-functionally to guide products from conception to launch, connecting technical and business needs and breaking complex problems into steps that drive product development. Product Management partners with engineers, designers, marketers, and others to design and develop technologies that improve access to information, and guides products through execution, including analyzing, positioning, packaging, promoting, and tailoring solutions to users. The aiEDU team accelerates innovation for Googlers through personalized AI learning. Its work advances AI fluency through technical onboarding, in-flow learning agents integrated into daily tools, and out-of-flow learning for tailored skill-building, using generative AI to integrate education into everyday workflows. The Product Manager owns the multi-year product outlook, platform architecture, and execution for Google's centralized AI learning ecosystem, including its flagship destination hub, generative course creation, personalization nucleus, and community products. The role leads cross-functional execution to bring fragmented resources together into a compounding learning flywheel and partners with executive stakeholders to align enterprise-wide upskilling strategy. Team members build with modern AI tools, coding agents, and sandbox environments to rapidly prototype, validate concepts, and ship scalable platforms. The Core team builds technical foundations, platforms, components, and infrastructure across Google products, supporting coherent user experiences and innovation.

Requirements

Bachelor's degree or equivalent practical experience.
At least 5 years of experience in product management or a related technical role.
At least 2 years of experience taking technical products from conception to launch.
Experience developing or launching products or technologies within Artificial Intelligence or Machine Learning (AI/ML).
Experience integrating generative AI tools or LLM interfaces into workflows.

Nice To Haves

Master's degree in a technology- or business-related field.
Experience architecting personalization engines, recommendation systems, or content management platforms at scale.
Experience in educational product development, teaching, or learning design.
At least 2 years of experience in software development or engineering.
At least 2 years of experience working cross-functionally with engineering, UX/UI, and other stakeholders.

Responsibilities

Define and own the multi-quarter product outlook, strategy, and roadmap for the learning product portfolio, unifying platforms into a cohesive ecosystem.
Lead product architecture for the core personalization and content engine to dynamically assemble and tailor learning experiences.
Drive cross-organizational alignment and federated partnerships with senior leaders to balance a rigorous baseline with tailored tracks.
Use AI-native developer and prototyping tools to turn ambiguous strategic concepts into working prototypes and user validation.
Partner with cross-functional teams to establish causal telemetry and longitudinal measurement frameworks connecting destination learning to real-world behavioral outcomes.