Senior Product Manager, Intelligence
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 company in 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, dashboards and 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 execution and delivery. You'll translate AI and data capabilities into shipped products, not define the AI strategy from scratch.
Responsibilities
- AI-powered recommendations and personalization features
- Enterprise client dashboards and reporting products
- Data operations — eligibility files, client data pipelines, data quality
- Analytics and insights that demonstrate value to clients
What success looks like in the first year
- Ship AI-powered features that reach production and demonstrate measurable impact
- Own and improve enterprise dashboards and reporting products
- Streamline data operations to reduce manual work and improve accuracy
- Build strong partnerships with AI engineering, client success, and analytics teams
- Establish clear metrics for intelligence product value
Requirements
- 5+ years of product management experience
- At 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 scientists and ML engineers
- Experience with B2B data products — dashboards, reporting, client-facing analytics
- Strong analytical skills and ability to translate data into decisions
- Clear communication across technical and non-technical stakeholders
Nice to 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 bridge the gap between data science and business stakeholders
- You're comfortable with ambiguity and imperfect information
- You care about shipping, not just strategizing
- You want to build data products that clients genuinely value