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Learning Commons · Product

Product Manager, Knowledge Graph, Education (12-Month Fixed-Term)

Where
Redwood City, CA (Remote)Remote · United States only
Experience
3–5 yrsstated in the description
Pay
$190K–$238Kbase, as stated on the posting
Posted
First seen by Unlisted 6 Oct, 22:16 UTC
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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. The Knowledge Graph turns that fragmented material into structured, queryable infrastructure — connecting what students are expected to learn, the materials they learn from, and the research on how they learn best, all grounded in learning science.

This is a chance to shape a foundation that's still being built. As the graph expands into new subjects and kinds of data, you'll help decide what it covers and how much developers can rely on it, putting you at the center of how research-grounded AI reaches classrooms. It's a rare product surface — few roles combine data modeling, developer experience, and public-purpose education data in one seat — and it rewards a PM who likes to be hands-on and close to the details. You'll have real ownership from the start, with room to grow as the graph scales.

What You'll Do

What You'll Bring

Compensation

The Redwood City, CA base pay range for a new hire in this role is $190,000- $238,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. 

Pay ranges outside Redwood City, CA are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring process.

This position may be eligible to participate in our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

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