Senior Product Manager, Intelligence

@ Everlywell
Everlywelleverlywell.com

Senior Product Manager, Intelligence

Posted 1 day ago

About the job

Everlywell is a digital health company transforming care with AI and human insight, delivering personalized health data and solutions at scale.

Requirements

  • 5+ years product management experience
  • 2+ years data or AI product experience
  • Shipping ML features to production
  • Experience with B2B data products
  • Strong analytical skills

Qualifications

  • Healthcare or healthtech background
  • Experience with personalization systems
  • Enterprise SaaS experience
  • Client-facing data product expertise

Full job description

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/.

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