• Own engagement and retention metrics: Define, track, and drive improvements to key engagement indicators (DAU/MAU, session frequency, feature adoption) and retention metrics (D1/D7/D30 retention, churn reduction, reactivation rates). • Develop engagement strategy: Build the product vision and roadmap for experiences that deepen user engagement, including habit-forming loops, personalized journeys, and contextual nudges that guide users toward value. • Drive retention through product-led initiatives: Design and execute strategies to reduce churn, increase stickiness, and re-engage lapsed users through lifecycle marketing, personalization, and product interventions. • Leverage AI to accelerate product development: Use AI-powered tools for prototyping, data analysis, content generation, and experimentation. Apply AI to personalize user experiences and predict engagement patterns. • Lead experimentation and optimization: Design and run rigorous A/B tests, analyze results, and iterate rapidly. Build frameworks for segmentation, targeting, and journey optimization in partnership with data science. • Build engagement infrastructure: Lead the creation of foundational systems including contextual messaging, in-app marketing surfaces, and personalization frameworks that scale across the product. • Collaborate cross-functionally: Partner with engineering, design, marketing, and analytics to deliver cohesive experiences. Influence stakeholders across the organization to align on engagement priorities. • Translate insights into action: Use quantitative data to identify opportunities and qualitative research to understand user motivations. Turn insights into clear product requirements and user stories.