USA remote
Product Manager, Knowledge Graph, Education (12-Month Fixed-Term)
About this role
Learning Commons aims to scale proven teaching and learning practices to benefit every learner by building AI infrastructure that better connects the way students learn to the tools they learn with. The Team At Learning Commons, we operate at the intersection of technology, research, and philanthropy. We pair product development with grantmaking to scale proven teaching and learning practices for the benefit of every learner.
We aim to bring learning science into the tools educators and students use every day. Our work is grounded in a deep belief: when technology reflects the realities of classrooms and the science of how students learn, it can meaningfully strengthen teaching and unlock new possibilities for students. The rise of generative AI offers us a once-in-a-generation opportunity to dramatically accelerate the translation of research insights into practical, classroom-ready tools; tools that honor teachers’ expertise, adapt to students’ needs, and make effective learning practices easier to access, implement, and sustain.
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 teachers and students, 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.
The Opportunity We are seeking a Product Manager for a 12-month fixed-term position on the Knowledge Graph team. As a Product Manager on the Knowledge Graph team, you'll help build the data layer for AI in education. AI tools for teachers and students are only as good as the data behind them — and the data they need sits scattered across incompatible formats, academic journals, and proprietary systems, so developers spend their time stitching sources together instead of building.