About the role
Everlywell is a digital health company pioneering the next generation of biomarker intelligence—combining AI-powered technology with human insight to deliver personalized, actionable health answers. We transform complex biomarker data into life-changing insights—seamlessly integrating advanced diagnostics, virtual care, and patient engagement to reshape how and where health happens.
Over the past decade, Everlywell has delivered close to 1 billion personalized health insights, transforming care for 60 million people and powering hundreds of enterprise partners. In 2025, an estimated 1 in 94 U.S. adults received an Everlywell test, solidifying our spot as the #1 at-home testing companyin the country. Fueled by AI and built for scale, we’re breaking down barriers, closing care gaps,and unlocking a more connected healthcare experience that is smarter, faster, and more personalized.
The Intelligence Platform turns health data into value — AI-powered recommendations for consumers, dashboardsand insights for enterprise clients,and the analytics foundation that powers personalization across everything we do. You’ll work alongside a strong AI engineering team to ship intelligent products that users and clients actually pay for.
This is a Senior PM role focused on executionand delivery. You’ll translate AIand data capabilities into shipped products, not define the AI strategy from scratch.
You’ll Be Responsible For
- AI-powered recommendationsand personalization features
- Enterprise client dashboardsand reporting products
- Data operations — eligibility files, client data pipelines, data quality
- Analyticsand insights that demonstrate value to clients
Why This Role Is Exciting
- AI that ships: you’ll work with a capable ML team to build real products, not prototypes
- Client impact: enterprise clients will useand pay for what you build
- Data products at scale: millions of records, real business decisions
- Growing space: health data intelligence is increasingly what differentiates platforms
What Success Looks Like in the First Year
- Ship AI-powered features that reach productionand demonstrate measurable impact
- Ownand improve enterprise dashboardsand reporting products
- Streamline data operations to reduce manual workand improve accuracy
- Build strong partnerships with AI engineering, client success,and analytics teams
- Establish clear metrics for intelligence product value
What we’re looking for
- 5 + years of product management experienceAt least 2 years working on data products, analytics, or AI/ML features
- Experience shipping ML-powered features to production(not just experimentation)
- Comfort discussing technical trade-offs with data scientistsand ML engineers
- Experience with B2B data products — dashboards, reporting, client-facing analytics
- Strong analytical skillsand ability to translate data into decisions
- Clear communication across technicaland non-technical stakeholders
Even better if you have
- Healthcare or healthtech background
- Experience with recommendation systems or personalization
- Background in enterprise SaaS or client-facing data products
- Startup or scale-up experience
You’ll thrive here if
- You believe AI products should solve real problems, not impress demos
- You can bridgethe gap between data science and business stakeholders
- You’re comfortable with ambiguityand imperfect information
- You care about shipping, not just strategizing
- You want to build data productsthat clients genuinely value
