Senior Product Manager, Growth

Requirements 5-8+ years of product management experience, with a track record of owning growth, acquisition, or lifecycle-focused work Demonstrated success running structured experiments (A/B tests, funnel optimization) and using data to drive prioritization Comfort working directly with SQL or analytics tools (e.g., Amplitude, Mixpanel, Looker, Clarity, Tableau) to self-serve insights Strong cross-functional collaboration skills Excellent written and verbal communication; ability to turn ambiguous problems into clear specs and roadmaps Comfortable prototyping with AI tools (e.g., Claude, ChatGPT, or similar) Genuine interest in healthcare, mental health, or mission-driven consumer products Bonus: experience shipping AI-powered product features Bonus: experience in healthcare, telehealth, or another regulated/trust-sensitive industry Must live near one of the company's offices: Los Angeles, San Francisco, Denver, or greater New York City area Core Competencies Demonstrates expertise in product management with a focus on growth and user engagement, utilizing data-driven decision-making and cross-functional collaboration to enhance member experiences. Proficient in designing and analyzing experiments, particularly A/B tests, while developing AI-powered features in a healthcare context. Highest-signal resume keywords Product Management Experience A/B Testing and Funnel Optimization SQL and Analytics Tools Proficiency Cross-Functional Collaboration AI Tools Prototyping Hard Skills Growth Funnel Management Experiment Design Data Analysis Feature Adoption Strategies Metrics Definition and Tracking Soft Skills Written and Verbal Communication Problem-Solving Mentoring Industry Keywords Healthcare Mental Health Telehealth Consumer Products Regulated Industry Tools & Technologies Amplitude Mixpanel Looker Clarity Tableau Job Responsibilities Own and improve the end-to-end growth funnel from awareness through ongoing active engagement Identify growth levers and build a prioritized roadmap of experiments and features Design, launch, and analyze A/B tests across onboarding, matching, scheduling, and re-engagement flows Partner with Engineering, Design, Data, Marketing, and Clinical Operations to ship and expand member-engagement features Define and track north-star, guardrail, acquisition, active-user, adoption, session, and churn metrics Identify underused features or care touchpoints and drive adoption initiatives Develop AI-powered features such as intelligent matching, personalized nudges, and conversational intake Translate member feedback and quantitative data into product requirements Build a testing culture through clear hypotheses, rigorous measurement, and fast iteration Balance growth goals with behavioral-health sensitivity, trust, care, and safety Map the growth funnel, identify drop-off points, ship experiments, establish testing cadence, grow active users, increase feature adoption, build evidence-based roadmaps, and mentor others #J-18808-Ljbffr Jobtailor