Responsibilities

• Own and improve the end-to-end growth funnel: awareness → sign-up → intake → first session → ongoing active engagement
• Identify the biggest levers for growing active users and deepening product usage, and build a prioritized roadmap of experiments and features
• Design, launch, and analyze A/B tests across onboarding, matching, scheduling, and re-engagement flows to drive activation and repeat usage
• Partner closely with Engineering, Design, Data, Marketing, and Clinical Operations to ship and expand features that increase member engagement
• Define and track north-star and guardrail metrics centered on active users (WAU, feature adoption rate, sessions per active member, churn) alongside acquisition metrics
• Identify underused features or care touchpoints and drive initiatives to expand their reach and adoption across the member base
• Develop AI-powered features (e.g., intelligent matching, personalized nudges, conversational intake) that drive activation and engagement
• Translate qualitative member feedback and quantitative data into clear product requirements
• Build a strong testing culture - clear hypotheses, rigorous measurement, fast iteration
• Balance growth goals with the sensitivity and trust required in behavioral health, ensuring experiments never compromise member care or safety

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 - you can align engineers, designers, marketers, and clinicians around a shared plan
• Excellent written and verbal communication; you can turn ambiguous problems into clear specs and roadmaps
• Comfortable prototyping with AI tools (e.g., Claude, ChatGPT, or similar) to quickly test ideas, mock up flows, or explore feature concepts before involving engineering
• A genuine interest in healthcare, mental health, or mission-driven consumer products

Preferred

• experience shipping AI-powered product features (recommendation engines, conversational interfaces, personalization, etc.)
• experience in healthcare, telehealth, or another regulated/trust-sensitive industry