Senior Product Manager

CodePath is the largest educator of college computer science students in the country. We have trained over 40,000 students from 1,000+ universities. Our partners include Amazon, Google, Meta, and 4,000+ companies across the industry. We’ve been training the next generation of technical talent for nearly a decade, and we just launched a $150M initiative with Anthropic, building one of the most ambitious AI workforce programs in the world. We're now expanding into new markets and scaling our team so we can move at the speed AI is transforming the workforce. People joining CodePath now will have the opportunity to help architect the next frontier of our work. We are building toward millions of learners, hundreds of millions in revenue, and billions in economic impact for a generation of technical talent who have historically been locked out of tech. If you want to own something and be part of a 0-to-1 journey at an organization moving at the speed of AI, we think you’d love it here. About the Role Location: Remote Role Type: Full-Time Reporting to: Chief Product Officer Total Compensation: $200,000 - $232,000 Base salary: $135,000 - $175,000 Total compensation includes base salary plus a guaranteed monthly supplement Every CodePath learner engages our platform, whether they are a college CS student in a direct course, a student at a partner university, an alum sharpening their skills, or a working engineer retraining for the AI era. The Senior Product Manager, Learner Platform Experience owns this platform. CodePath's courses work because they are intensive, industry-vetted, and human. The hard problem is scale. As we grow from tens of thousands of learners toward millions, the quality and effectiveness of the learner experience on the platform has to improve, not dilute. That demands an AI-First approach: clearly and thoughtfully identifying where AI can accelerate effectiveness, productivity, and scale, and where human connection and touchpoints are essential to maintain motivation, commitment, and progress. Getting that boundary right is the core judgment call of this job, and you will make it over and over. The ownership lines are clear. Curriculum owns what we teach. The Learning team owns how it is taught, including the live classroom. You own the platform: everything a learner touches when they log in, from the course portal to asynchronous engagement between sessions to the touchpoints that keep them moving. You will collaborate closely with Learning so the platform powers great live delivery, but the platform experience is yours. Success looks like measurable acceleration in the rate of learning, retention, and engagement, even as the number of students grows by an order of magnitude. Two things make this role unlike most PM jobs Learning rate is the scoreboard. Plenty of platforms can deliver content at scale. Almost none can prove their students learn faster because of them. You will be measured on outcomes, retention, and engagement, not feature velocity. The ceiling is enormous. Every course CodePath delivers, direct or through partners, rides on the platform experience you build. As we scale to an order of magnitude of more students, your decisions compound across every learner we will ever serve. What you'll do Own the core learner platform experience across every segment: college CS students, alumni, working engineers, and students at partner institutions Translate learning, retention, and engagement goals into a prioritized roadmap Use AI across your entire workflow to compress weeks into days, raising the quality and the speed of what you ship Own our AI-assisted learning experiences end to end, including taking the AI Tutor and AI Grader from prototype to product. These student-facing AI surfaces are yours, not shared Decide where AI accelerates effectiveness, productivity, and scale, and where human connection is essential to maintain motivation, commitment, and progress Collaborate with Curriculum, Learning, and Engineering: they own what is taught and how the classroom runs, you build the platform that powers live delivery and asynchronous engagement Set a high bar for design quality and engaging interactions across every learner touchpoint Define the metrics that prove learning rate, retention, and engagement are improving at scale, and design experiments, grounded in discovery with users, to test your biggest bets Who you are You are a PM who has owned products that learners or users depend on every day, and you know how to walk into something live and make it measurably better. You are deeply AI-Native and you believe great learning products are judged by what learners can do afterward. You have scaled a live product. You have inherited or grown something real users already depended on, raised its quality while usage multiplied, and you know the difference between launching and improving Zero-to-one instincts still matter here: you will not inherit documentation, process, or a roadmap, so you know how to map what exists and chart the path forward yourself AI is genuinely how you work. You can show how your workflow has changed: prototypes, requirements, and analyses you generate and pressure-test in hours, not months You have built products where engagement and retention were the scoreboard, and you know how to design the loops, touchpoints, and interactions that move them You hold strong opinions and you can defend them live. You bring clear, well-reasoned bets and stand behind them under pressure You thrive in ambiguity. You can structure messy problems, build alignment across learning and technical teams, and drive execution with no playbook You have strong analytical instincts. You define the metrics that matter and read the data to make the call You write requirements engineers trust, and you can sell a product strategy to technical and non-technical audiences alike Preferred Fluency across the modern PM toolkit: product analytics (Mixpanel, Amplitude, Hex), prototyping and design (Figma, Framer), data querying (SQL), and AI-assisted development tools (Claude Code, Codex, Cursor, or similar) Background in edtech, learning platforms, or consumer education products, or deep working familiarity with learning science Experience with AI tutoring, adaptive learning, or personalization systems Founder experience or equivalent time building in a hyperscaling environment We encourage you to apply even if you do not meet every qualification listed. Strong candidates often look different from what a job description imagines, and we would rather talk to someone exceptional who checks seven of nine boxes than miss them entirely. Compensation CodePath has standardized salaries based on the position’s level, no matter where you live. For this role, we’re hiring for an Individual Contributor level position at an annual base salary of $135,000 to $175,000. Total compensation is $200,000 to $232,000, which includes base salary plus a guaranteed monthly supplement . Salary is determined based on your relevant experience and skills as evaluated through our interview process. Full-Time Employee Benefits This is a 100% remote position—work from anywhere in the U.S.! CodePath prioritizes employee well-being with a competitive benefits package to support your health, financial security, and work-life balance. Health & Wellness: Medical, dental, and vision insurance (90% employer-covered for employees and dependents), employer-funded healthcare reimbursement, FSAs, and Employee Assistance Program Financial Security: 401(k), employer-paid life & disability insurance, and identity theft protection Work-Life Balance: Generous PTO, paid holidays, 10 weeks of fully paid parental leave, and an annual year-end company closure (Dec 24 – Jan 2) Professional Growth: $1,000 annual professional development stipend and home office setup support ​​Student Loan Forgiveness: CodePath is a qualifying employer for Public Service Loan Forgiveness (PSLF), helping employees manage student loan debt Additional Perks: Pet wellness plans, legal services, home/auto insurance discounts, and exclusive marketplace savings Pay range $200,000 - $232,000 USD