CodePath is reprogramming higher education to create the first generation of AI-native engineers, CTOs, and founders. As a Senior Product Manager in Higher Education, you will own and build the product that supports university partnerships, ensuring effective program management and measuring success. This role involves collaborating with various teams to translate institutional needs into product solutions.
Responsibilities:
- Define and own the institutional product roadmap, translating faculty, administrator, and operational needs into clear priorities
- Run structured discovery with university partners and internal stakeholders; define success metrics and translate them into effective product requirements, prototypes, and shipped features
- Design experiments to validate product bets, using qualitative signals from partners and quantitative data to make decisions and change course quickly
- Serve as the connective tissue between Engineering, Data, and Institutional Partnerships, aligning on priorities, surfacing trade-offs, and unblocking progress
- Use AI actively in your product workflow, striving for continual improvement in quality and productivity
- Track and communicate progress to partners and internal teams, building the reporting rhythms that keep everyone aligned and informed
Requirements:
- 3+ years of product management experience, with at least 2 years building EdTech or Higher Education product
- You've taken a concept from 0 to 1, not just iterated on an existing roadmap, but built from scratch and launched a product that achieved meaningful distribution or commercial success
- You can structure ambiguous problems, build alignment across academic and technical teams, and drive execution without a clear playbook
- You've worked closely with Partnerships or Customer Success teams to translate customer needs into product direction, and know what a deal-blocking product gap looks like
- AI tools are already part of how you work, and you can describe specifically how your workflow has changed because of it
- Strong analytical reasoning, comfortable defining metrics that matter and interpreting data to inform product decisions
- You write product requirements engineers trust and can communicate product strategy clearly to technical and non-technical audiences alike
- Experience in edtech or higher education products
- Background working with faculty, academic administrators, or institutional buyers
- Technical proficiency across the modern PM toolkit — product analytics (Mixpanel, Amplitude, Hex), prototyping and design (Figma), data querying (SQL), and AI-assisted development tools (Claude Code, Codex, Cursor, or similar)
- Familiarity with LMS platforms, student information systems, or academic workflow tooling