Learning Commons is Mark Zuckerberg and Priscilla Chan’s education initiative, which aims to scale proven teaching and learning practices to benefit every learner. Learning Commons became the name of our education efforts in 2025 to build on the Chan Zuckerberg Initiative’s work over the past decade to advance learning science and help translate that research into classroom practice. The Team At Learning Commons, we pair technology with grantmaking to scale proven teaching and learning practices to benefit every learner. We aim to translate what learning science tells us about how students learn best into classroom practice. With the advent of generative AI, that translation work can be accelerated and scaled to have a greater impact. Our mission is to bring learning science into the tools used every day by teachers and students, ensuring that technology reflects the realities of classrooms and strengthens teaching and learning. In today’s fragmented edtech landscape, school districts are often left piecing together products that don’t always align with curricula or instructional needs. While AI holds enormous potential to support educators, it can only deliver on that promise when grounded in research, high-quality educational data, and expert evaluation. That’s why we’re building open, public-purpose infrastructure — datasets, rubrics, and resources — that help raise the standard for educational tools and create more consistent, impactful learning experiences for all students and teachers. At our core, we are builders, and our unique builder philanthropy approach is what sets us apart from other education funders. Take a closer look at the highlights and significant milestones of CZI’s first eight years of education work. The Opportunity Educators are already using AI-based tools in various ways—including generating lesson plans, creating classroom materials such as tests and assignments, and helping differentiate instruction for students. At Learning Commons, we are inspired and excited about the possibilities and promise of AI to accelerate the availability of research-backed practices at scale. We are actively and thoughtfully exploring how to incorporate AI into products in close partnership with researchers, experts, and educators. As a Product Manager, Platform on the AI Developer Tools team, you will join our Core Platform team at a pivotal moment—as we launch our MVP Developer Platform to support our AI-powered developer tools ecosystem. You'll be the product partner for a high-performing engineering team (1 EM, 1 Tech Lead, 4 Engineers) that has strong agile practices and is now focused on building critical platform infrastructure. This is a ground-floor opportunity to shape platform strategy from MVP to scale, working on foundational capabilities like Identity/Authentication/Authorization, API Gateways, MCP server, and observability. You'll balance technical platform health with velocity, ensuring internal teams (Knowledge Graph, Evaluators, Developer Experience) can ship quickly without being blocked. This role offers hands-on platform PM experience and clear growth opportunities as the platform scales.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed