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