Own execution and delivery for Everlywell’s Intelligence Platform. Lead AI-powered recommendations, personalization features, enterprise dashboards, reporting products, data operations, and client-facing analytics. Partner with AI engineering, client success, and analytics teams to ship production ML features, improve data quality, reduce manual processes, and establish measurable product-value metrics.
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 https://www.everlywell.com/careers/.
Everly Health Austin, Texas, USA Office
823 Congress Ave, Austin, TX, United States, 78701
Similar Jobs
Artificial Intelligence • Internet of Things • Semiconductor
Lead product definition and lifecycle for Arm's cloud AI compute subsystem offerings. Translate partner and market needs into engineering priorities, support partner enablement from RTL to physical implementation, and align cross-functional teams on roadmap and execution.
Top Skills:
AccelerationAi ComputeArmCloud InfrastructureCompute SubsystemsData CenterHpcI/OInterconnectNetworkingPhysical ImplementationRtlServer TechnologiesSocSystem ArchitectureSystem IpVerification
Insurance
Lead GEICO’s IVR and conversational AI product strategy, roadmap, and lifecycle. Drive voice experience design, self-service adoption, containment, analytics, and customer satisfaction through cross-functional collaboration with engineering, design, operations, and business teams. Responsibilities include market research, feature prioritization, platform architecture influence, IVR performance optimization, analytics implementation, and integration of NLP, voice biometrics, and AI-powered intent recognition.
Top Skills:
AgileAmazon ConnectAmazon LexAzure DevopsContact LensConversational AiGenerative AiIvrJIRANatural Language Processing (Nlp)Speech RecognitionVoice BiometricsVoice Id
Information Technology • Insurance
Own the Applied AI product roadmap, identify consumer problems, and deliver zero-to-one AI features for insurance shopping. Lead rapid prototyping, user testing, experimentation, and AI-assisted development in partnership with engineering, design, and product teams. Define success metrics, analyze quantitative and qualitative results, communicate technical trade-offs, and embed personalized AI, discovery, and conversational capabilities across consumer experiences.
Top Skills:
A/B TestingAi AgentsAi-Assisted Development ToolsArtificial IntelligenceLarge Language ModelsMachine LearningPrompt EngineeringQuantitative Analytics
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
