About this role
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/.