Senior Product Manager, Intelligence

Everlywell; Hoffman Estates (IL); On-site; USD 140,000 - 180,000; Full time

Job summary

Everlywell is a digital health company seeking a Senior Product Manager to translate AI and data capabilities into shipped products. You will work with an AI engineering team to deliver features that enterprise clients actually use and pay for.

In the first year you will own dashboards and reporting products, streamline data operations, and establish metrics that prove value to clients through measurable outcomes.

Qualifications

• 5+ years of product management experience.
• At least 2 years working on data products, analytics, or AI/ML features.
• Experience shipping ML-powered features to production.
• Comfort discussing technical trade-offs with data scientists and ML engineers.
• Experience with B2B data products — dashboards, reporting, client-facing analytics.

Responsibilities

• 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.

Skills

Product management

Data products

AI/ML features

Dashboards

Client-facing analytics

Analytical skills

Communication

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'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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.