Senior Product Manager, Enterprise

CodePath is reprogramming higher education to create the first generation of AI-native engineers, CTOs, and founders. In this role, you will build the enterprise product from the ground up, defining what is sold, how it is delivered, and how its effectiveness is measured, while collaborating with various teams to meet enterprise partners' needs.

Responsibilities:

• Define and own the enterprise product roadmap, translating partner needs, revenue goals, and learner outcomes into clear priorities
• Run structured discovery with enterprise 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 Earned Revenue, Curriculum, and Engineering, 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 enterprise or B2B products
• 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 commercial and technical teams, and drive execution without a clear playbook
• You've worked closely with Sales or Customer Success to translate commercial 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, workforce development, or upskilling products
• Background working with corporate L&D, HR, or workforce benefits 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)
• Experience with enterprise SaaS platforms, integrations, or admin tooling