Product Manager, Intelligence Platform at Everlywell

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. Weve helped millions of people understand their health on their own terms from hormone levels to heart health to food sensitivities to sexual health. And were 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.Were 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. Youll 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. Youll translate AI and data capabilities into shipped products not define the AI strategy from scratch.Youll be responsible for:AI-powered recommendations and personalization featuresEnterprise client dashboards and reporting productsData operations eligibility files client data pipelines data qualityAnalytics and insights that demonstrate value to clientsWhy this role is exciting:AI that ships: youll work with a capable ML team to build real products not prototypesClient impact: enterprise clients will use and pay for what you buildData products at scale: millions of records real business decisionsGrowing space: health data intelligence is increasingly what differentiates platformsWhat success looks like in the first year:Ship AI-powered features that reach production and demonstrate measurable impactOwn and improve enterprise dashboards and reporting productsStreamline data operations to reduce manual work and improve accuracyBuild strong partnerships with AI engineering client success and analytics teamsEstablish clear metrics for intelligence product valueWhat were looking for;4-5 years of product management experienceAt least 2 years working on data products analytics or AI/ML featuresExperience shipping ML-powered features to production (not just experimentation)Comfort discussing technical trade-offs with data scientists and ML engineersExperience with B2B data products dashboards reporting client-facing analyticsStrong analytical skills and ability to translate data into decisionsClear communication across technical and non-technical stakeholdersEven better if you have:Healthcare or healthtech backgroundExperience with recommendation systems or personalizationBackground in enterprise SaaS or client-facing data productsStartup or scale-up experienceYoull thrive here if:You believe AI products should solve real problems not impress demosYou can bridge the gap between data science and business stakeholdersYoure comfortable with ambiguity and imperfect informationYou care about shipping not just strategizingYou want to build data products that clients genuinely valueWe may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. 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.Required Experience:IC Key Skills Time Management,Data Analytics,Analytical,Agile,Requirement Gathering,Strategic thinking,Visio,Communication,Problem Solving,Market Research,UML,Cross Functional Teams Employment Type : Full-Time Experience: years Vacancy: 1