Senior Product Manager, Intelligence
Summary
Senior PM on Everlywell's Intelligence Platform, shipping AI-powered recommendations, enterprise dashboards, and data operations products alongside an ML engineering team.
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.
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 .
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- Do any of your immediate family members have an employment, consulting, or other financial relationship with Everly Health or any of its subsidiaries? choose one
- Are you authorized to work in the US? choose one
- Will you now or in the future require a sponsorship? choose one
- Do you currently work at or have you ever worked at Everly Health? choose one
- Did a current Everly Health employee refer you to the role? choose one
- If yes, please name the employee that referred you written answer · optional
- Do you have any employment, consulting, occupation, or board-service obligations that would interfere with your ability to work full-time for Everly Health or that would conflict with the business, goals, or mission of Everly Health? choose one
- If yes, please briefly describe those obligations written answer · optional
- Have you ever worked for a State agency and been involved, in any capacity, in the process of procurement of goods or services, selection of vendors, or contract management? choose one
- If yes, please describe written answer · optional
- Everlywell operates in a hybrid model in Austin, TX. Employees are required to be in office 3 days a week (Tuesday - Thursday). Are you able to work out of our Austin office? If you are not located in ATX, are you willing to relocate? choose one
- Do you have at least 2 years experience working on data products, analytics, or AI/ML features? choose one
- Are you comfortable discussing technical trade-offs with data scientists and ML engineers? choose one
- How many years of product experience do you have? choose one
- What compensation are you targeting? written answer