Senior Product Manager, Learner Platform Experience

Stellenbeschreibung:

Responsibilities

  • 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

Requirements

  • 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.
  • 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

ATS Optimization Keywords

Hard Skills

  • AI‑assisted development
  • product analytics
  • prototyping
  • data querying
  • user engagement design
  • retention strategies
  • metrics definition
  • product strategy
  • adaptive learning
  • personalization systems

Soft Skills

  • collaboration
  • analytical instincts
  • problem structuring
  • communication
  • decision making
  • defending opinions
  • navigating ambiguity
  • building alignment
  • execution
  • user discovery

Industry Keywords

  • edtech
  • learning platforms
  • consumer education
  • learning science
  • live product scaling
  • zero‑to‑one product development
  • AI tutoring
  • engagement metrics
  • retention metrics
  • hyperscaling environment

Tools & Technologies

  • Mixpanel
  • Amplitude
  • Hex
  • Figma
  • Framer
  • SQL
  • Claude Code
  • Codex
  • Cursor
  • AI Tutor

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EnglishEN: Please refer to Fuchsjobs for the source of your application
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Stelleninformationen

  • Veröffentlichungsdatum:

    31 Jul 2026
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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