Note: The job is a remote job and is open to candidates in USA. Learning Commons is hiring a Product Manager for its Knowledge Graph team to build the data layer for AI in education. The role owns datasets from acquisition and licensing through modeling, ingestion, and launch, while shaping the roadmap, API surfaces, and collaboration with users and cross-functional teams.
Responsibilities
- Own datasets end to end — Take each dataset from acquisition and licensing through modeling, ingestion, and launch. Write the product docs that define the work clearly enough for engineering to build and ship without rework
- Partner with our users — Work closely with the developers and build partners who use the graph to understand their needs and where they get stuck, and spot opportunities for the graph to solve those problems. Help shape the API surfaces they build on, across the REST API and beyond
- Plan the work, short and long term — Use partner evidence to shape the roadmap — which data to bring in and how it should grow — and plan the near-term work with engineering so the team ships against a clear, current plan
- Work hands-on in the data — Open the source data yourself, run coverage and gap analyses, and verify what ships against the source. Decide how a new source maps onto the graph, when to reuse the model and when to extend it, and set clear, testable acceptance criteria engineers can build against
- Keep the cross-functional team aligned — Work across engineering, Trust, partnerships, tech writers, and marketing to move each launch forward and keep everyone working from the same plan
Skills
- 3–5 years of product management experience with a track record of shipping
- Data products, APIs, or developer-facing platforms
- You've built products in education or worked in the field, and you understand how curricula, academic standards, and classrooms work well enough to judge what developers serving schools actually need
- You partner with engineers and data experts as a credible peer: you ask sharp questions, pressure-test tradeoffs, and write up complex technical decisions clearly enough for developers to build on
- You personally open raw data files (JSONL, CSV), write queries (SQL, Cypher, or similar), and pull your own counts rather than delegating the check; you can reason about entities and relationships, sketch the nodes and edges for a new dataset, and tell a data gap from a modeling gap
- You understand what the people building on your product are trying to do and where they get stuck, and turn that into priorities
- Preferably data products, APIs, or developer-facing platforms
Benefits
- Provides a generous employer match on employee 401(k) contributions to support planning for the future.
- Paid time off to volunteer at an organization of your choice.
- Funding for select family-forming benefits.
- Relocation support for employees who need assistance moving
- May be eligible to participate in the discretionary annual performance bonus program; bonus eligibility and targets are determined in accordance with the total rewards philosophy and may vary by role.
- Remote work arrangement
Company Overview
Company H1B Sponsorship