Senior Product Manager, Intelligence

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

Security Notice: Everlywell never requests fees, payment, or banking information at any stage of the recruitment process. Official communications and interview invitations will only come from verified email addresses ending in @everlywell.com or @everlyhealth.com. To ensure your application is secure, always apply directly through our official careers page at https://www.everlywell.com/careers/.