Senior Product Manager, Personalization & Experimentation

2U is a company dedicated to transforming lives through higher education and is looking for a Senior Product Manager to lead personalization and journey optimization for the edX Marketplace. This role involves owning the product roadmap, collaborating with cross-functional teams, and utilizing data to enhance user experiences and increase conversion rates.

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

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
• 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