Getting a lab test used to mean taking time off work, sitting in a waiting room, and hoping your doctor ordered the right thing. We changed that.

Everlywell pioneered at-home lab testing and has since expanded into in-person diagnostics, telehealth, and AI-powered health guidance. We've helped millions of people understand their health on their own terms — from hormone levels to heart health to food sensitivities to sexual health. And we're just getting started.

Today, we power diagnostics for consumers, major health plans, and enterprise partners. Our platform handles everything from test fulfillment to clinical review to results delivery — and increasingly, uses AI to help people figure out what to test and what to do next.

We're a product-driven company solving real problems in a deeply broken system. If you want to build things that matter, at a company that ships fast and reaches millions, keep reading.

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 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;

4-5 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

Product Manager, Intelligence Platform

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