Senior Product Manager, Personalization & Journey Optimization

2U • Crystal City, TX

1d • Hybrid

About The Position

At 2U, we are all in on purpose. We are motivated by our mission – to make learning limitless– and connected by our shared passion to deliver world-class higher education at scale. As the parent company of edX, a leading online learning platform, 2U powers thousands of higher education offerings – from free courses to full degrees. Together with our college, university, and corporate partners, we are helping accelerate careers and transform lives.
2U is searching for a Product Manager to own personalization and journey optimization for the edX Marketplace — a role at the frontier of how a modern learning marketplace converts curious visitors into committed learners.
In a marketplace with thousands of courses, programs, and credentials across hundreds of subject areas, the ability to surface the right opportunity to the right learner at the right moment is a fundamental competitive advantage. This PM owns the product experiences and capabilities that make edX feel intelligent, relevant, and responsive to each individual learner's goals — increasing the likelihood that a visitor finds what they're looking for, trusts that it's right for them, and takes the next step.
You will own the product roadmap for on-site personalization and conversion journey optimization — including personalized discovery surfaces, dynamic journey pathing, behavioral targeting, and experimentation infrastructure. You will work at the intersection of product, data science, UX, and marketing to design and deliver experiences that reduce friction, increase relevance, and improve mid-funnel conversion rates across the edX platform.
This is a role for a PM who is equally comfortable with data models and design thinking — someone who can partner with data scientists to define a recommendation algorithm and with UX designers to bring it to life in a way that genuinely serves the learner.

Requirements

• 2–5 years of product management experience, with demonstrated focus on personalization, recommendations, conversion optimization, or experimentation at a consumer web or marketplace company.
• Experience owning or contributing to personalization or recommendation product areas — with measurable conversion or engagement outcomes to show for it.
• Strong understanding of A/B testing and experimentation methodology — you know how to design a good experiment, interpret results correctly, and build a compounding learning program over time.
• Comfort working with data science teams — you can engage meaningfully in conversations about recommendation models, feature inputs, and algorithmic tradeoffs without needing to be a data scientist yourself.
• Structured and data-driven thinking — you use behavioral analytics, funnel analysis, and segmentation to identify opportunity and inform prioritization.
• Experience partnering with engineering, UX, and data science teams to deliver outcome-oriented product work.
• Excellent communication skills and strong cross-functional collaboration instincts.
• Experience with agile software development.

Nice To Haves

• Familiarity with personalization and recommendation platforms or frameworks.
• Experience with experimentation platforms such as Optimizely, LaunchDarkly, or similar.
• Background in marketplace, edtech, or consumer subscription products.
• Familiarity with customer data platforms (CDPs) such as Segment and how they enable personalization.
• Experience with product analytics platforms such as Amplitude, Mixpanel, or similar.
• Understanding of how on-site personalization intersects with paid and lifecycle marketing strategies.

Responsibilities

• Own the edX.org personalization and journey optimization product roadmap — including personalized discovery surfaces, dynamic content and recommendations, behavioral journey pathing, and mid-funnel conversion optimization.
• Define and execute product strategies that use learner behavioral data, stated preferences, and contextual signals to deliver more relevant, personalized experiences across the edX platform.
• Lead product initiatives to improve mid-funnel conversion rates — identifying and reducing friction in the journey from discovery to enrollment decision.
• Partner with data science to define the requirements for recommendation models, personalization algorithms, and targeting logic — translating data capabilities into learner-facing product experiences.
• Develop and own the on-site experimentation roadmap — designing, prioritizing, and measuring A/B tests and multivariate experiments that generate actionable insights and compound conversion improvements over time.
• Define, track, and report on personalization and conversion KPIs — including recommendation click-through rate, journey completion rates, mid-funnel conversion lift, and experiment velocity.
• Collaborate with the GPM Organic Discovery & Content Experience to ensure personalization strategies enhance rather than conflict with organic discovery and content experiences.
• Partner with the lifecycle marketing and MarTech teams to connect on-site personalization with off-site targeting and re-engagement strategies.
• Define engineering backlog, technical requirements, and product features; lead cross-functional teams of engineering, data science, and UX to design and deliver results.
• Interact directly with learners, data scientists, marketers, and stakeholders to understand emerging needs and capture them in product memos, experiments, and executive presentations.
• Regularly measure and communicate impact; adjust strategy and roadmap based on experimentation results and evolving learner behavior.
• Use your own product — explore edX as a learner, notice what feels relevant and what doesn't, and let that empathy inform your decisions.

Benefits

• Medical, dental, and vision coverage
• Life insurance, disability, and 401(k) employer match
• Free snacks and drinks in-office
• Generous paid holidays and leave policies, including unlimited PTO
• Additional time off benefits include: volunteer days, parental leave, and a company-wide winter break

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees