Senior Staff Product Manager, Member & AI Experience
Maven Clinic
| Company | Maven Clinic |
| Category | Data & Analytics |
| Location | San Francisco |
| Remote | Remote |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 18 Jun 2026 |
| Last verified | 9 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com.
An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including:
Fortune Change the World (2024)
CNBC Disruptor 50 List (2022, 2023, 2024)
Fortune Best Workplaces for Millennials (2024)
Fortune Best Workplaces in Health Care (2024)
TIME 100 Most Influential Companies (2023)
Fast Company Most Innovative Companies (2020, 2023)
Built In Best Places to Work (2023)
Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024)
Great Place to Work certified (2020, 2021, 2022, 2023, 2024)
Fast Company Best Workplaces for Innovators (2022)
Built In LGBTQIA+ Advocacy Award (2022)
About the role
The member experience is how Maven's decade of clinical depth shows up for the people we serve. The homepage they land on, the AI that answers their questions, the community that makes them feel less alone. It's what turns an eligible member into an engaged one, and an engaged member into someone who stays.
We're hiring a Senior Staff PM to make the experience dramatically better: more intuitive, more personal, more useful. You will work closely with Clinical Product and the AI Platform team to make sure the experience serves members effectively across every program. You report directly to the SVP of Product.
What You’ll Do:
Own the core member experience surfaces: homepage, conversational AI, and community
Build and run a high-velocity experimentation engine: form hypotheses, ship tests, read results honestly, and compound learnings week over week
Define the metrics that matter, instrument them, and use them to drive decisions from first visit through activation and retention
Bring a strong point of view on how AI changes what we build for members and how fast we build it, and put it to work in your own workflow
Go deep on engagement data: where members activate, where they drop off, and where the experience is or isn't working
Build close partnerships with Clinical Product and AI Platform
What we are looking for
10+ years in product with direct experience building consumer-facing products
Experience with conversational AI, homepage, and community surfaces
Strong consumer instincts: you know what makes an experience feel trustworthy, useful, and worth returning to
A track record of shipping: you move from ambiguity to a live experiment fast and would rather learn from production than perfect a doc
Deep fluency with data: you define your own metrics, design experiments that produce clean reads, and change your mind when the results tell you to
Structured thinking under pressure: you break messy problems into parts, prioritize ruthlessly, and explain the why behind every tradeoff
Enough technical depth to go deep with engineers on tradeoffs and know what's cheap, what's expensive, and what's worth it
Hands-on fluency with AI tools as