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Remote opportunity atCodePath

Senior Product Manager, Learner Platform Experience

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Published
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7Application actions
1 Oct 2026Apply before
Opportunity details

About this role.

AI Summary

CodePath is seeking a senior individual-contributor Product Manager to own the end-to-end learner platform experience for college students, alumni, working engineers, and university partners. The role centers on improving measurable learning outcomes, retention, and engagement while scaling the platform from tens of thousands to millions of learners. This PM will lead AI-assisted learner products, including an AI Tutor and AI Grader, and make critical decisions about where automation versus human interaction creates the best educational outcomes. Success requires strong product strategy, experimentation, analytics, UX judgment, and cross-functional leadership across Curriculum, Learning, Design, and Engineering.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a highly strategic, ambiguous senior PM role with full ownership of a live platform and AI-native learning experiences. The successful candidate must create a roadmap and operating structure with limited existing process while being accountable for high-stakes learner outcomes at significant scale.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianHighly competitive
$216,000
US market range$180k–$240k
AI insightThe disclosed yearly total compensation range is $200,000 to $232,000 USD, with a midpoint of $216,000. This is competitive for a US-remote Senior Product Manager role with end-to-end platform ownership, AI product responsibility, growth-stage ambiguity, and education technology specialization. The estimated US market range for comparable roles is approximately $180,000 to $240,000 yearly, depending on company stage, product scope, and total-equity mix.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you determine whether an AI Tutor is improving learning outcomes rather than simply increasing product engagement?

I would define learning success metrics before expanding the feature, such as concept mastery, assignment completion quality, time to competency, assessment performance, and course completion. I would pair these with engagement and retention metrics, run controlled experiments where possible, and segment results by learner background and course type. Qualitative learner feedback and instructor observations would help validate whether metric gains represent genuine understanding.

Describe how you would approach creating a roadmap for an established platform with limited documentation and no existing roadmap.

I would begin with a structured discovery phase: map the learner journey, audit current features and technical constraints, review behavioral data, interview learners and internal stakeholders, and identify the highest-friction moments. I would translate the findings into an outcome-based strategy with a small number of measurable objectives, then prioritize initiatives using expected learner impact, confidence, effort, and strategic importance. I would share the roadmap as a living artifact and revisit priorities as evidence changes.

How do you decide when a learning experience should use AI versus a human touchpoint?

I evaluate the learner need, the consequences of an incorrect response, the importance of motivation and accountability, and whether a human relationship materially changes the outcome. AI is strong for immediate practice feedback, personalization, content navigation, and scalable support, while human interaction may be essential for coaching, belonging, nuanced intervention, and high-stakes instructional judgment. I would test the boundary through prototypes and experiments rather than assume one model is always best.

Tell us about a time you improved retention or engagement in a live product.

A strong answer should explain the initial retention problem, the evidence used to identify key drop-off points, and the specific product hypothesis tested. It should quantify the impact on activation, repeat usage, retention, or completion, while also describing how the candidate avoided optimizing a superficial engagement metric. The answer should demonstrate collaboration with design, engineering, analytics, and relevant domain experts.

How would you build alignment when Curriculum, Learning, and Engineering have competing priorities?

I would anchor conversations in shared learner outcomes and make ownership boundaries explicit: Curriculum owns what is taught, Learning owns delivery, and the platform team owns the learner product experience. I would use a common set of metrics, decision documents, and regular planning rituals to surface tradeoffs early. When disagreement remains, I would clearly state the decision, rationale, risks, and measurement plan so the team can learn quickly and adjust based on evidence.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.

CodePath is the largest educator of college computer science students in the country. We’ve trained over 40,000 students from 1,000+ universities, and our partners include Amazon, Google, and other leading technology companies. We’ve spent nearly a decade training the next generation of technical talent, 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 believe technical skill is the fastest way to turn raw talent into real opportunity. We train the engineers the AI era runs on, building toward millions of learners, hundreds of millions in revenue, and billions in economic impact. If you want to own something and be part of a 0-to-1 journey at an organization moving at the speed of AI, this is the place to build it.

About the Role

Location: Remote

Role Type: Full-Time

Reporting to: Chief Product Officer

Total Compensation: $200,000 – $232,000

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.

Required

  • 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. Total compensation is $200,000 to $232,000.

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

Apply now >

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