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.
You'll be responsible for:
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
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 use and 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 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
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 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
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 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
