Senior Product Manager, Higher Ed

CodePath is reprogramming higher education to create the first generation of AI-native engineers, CTOs, and founders. 

We deliver industry-vetted courses and career support centered on the needs of first-generation and low-income students. Our students train with senior engineers, intern at top companies, and rise together to become the tech leaders of tomorrow. 

With over 40,000 students and alumni from 1,000 colleges now working at 4,050 companies, we are reshaping the tech workforce and the industries of the future. CodePath is supported by Amazon, Andreessen Horowitz, Anthropic, Comcast, Google, JP Morgan Chase, Knight Foundation, Meta, New Profit, Salesforce, and The Studio at Blue Meridian Partners, among others.

About the Role

Location: Remote, United States

Role Type: Full-Time 

Reporting to: Chief Product Officer

Compensation: $200,000 to $232,000 per year

CodePath partners with more than 80 colleges and universities to deliver rigorous, career-ready computer science courses for credit. Our institutional partnerships are one of the fastest-growing parts of our model, and as universities increasingly rely on CodePath to power their CS pathways, the product supporting those relationships needs to evolve.

As Senior Product Manager, Higher Education, you will own and build the product that powers CodePath's university partnerships, defining how faculty and administrators set up and manage programs, how student progress is surfaced to instructors, and how we measure the effectiveness of our institutional model. You will work directly with our Institutional Partnerships, Curriculum, and Engineering teams to understand what university partners need and ship solutions that help them run CodePath programs effectively. It's a high-ownership role with a direct line to one of the fastest-growing parts of CodePath's business, and a real chance to shape how we scale across higher education.

We are looking for a skilled PM with experience building and shipping enterprise products in the higher education space, using AI effectively in their workflow, and is energized by a bold vision to redefine the default pathways for Computer Science students to succeed in the era of AI.

 

Key Activities

• 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

 

Qualifications

Required

• 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

Preferred