Own the learner platform experience at CodePath, driving AI-first improvements to learning rate, retention, and engagement as the organization scales to millions of students. Translate goals into roadmaps, own AI Tutor/Grader products end-to-end, define success metrics, and collaborate across teams in a high-ambiguity, outcomes-focused environment.
200k – 232k
Remote5+ YOEProduct Management
About the role
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
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
Required
Scaled a live product: inherited or grown something real users already depended on, raised its quality while usage multiplied
Zero-to-one instincts: map what exists and chart the path forward yourself with no inherited documentation, process, or roadmap
AI is genuinely how you work: prototypes, requirements, and analyses generated and pressure-tested in hours, not months
Built products where engagement and retention were the scoreboard; designed the loops, touchpoints, and interactions that move them
Hold strong opinions, defend them live, bring clear well-reasoned bets and stand behind them under pressure
Thrive in ambiguity: structure messy problems, build alignment across learning and technical teams, drive execution with no playbook
Strong analytical instincts: define the metrics that matter and read the data to make the call
Write requirements engineers trust; sell a product strategy to technical and non-technical audiences
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
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