Product Manager, Intelligence Platform
Everly Health
Product
Austin, TX, USA
Posted on Dec 4, 2025
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