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Everlywell
Posted 76 days agoVerified live 11h ago

Product Manager, Consumer (remote, ATX preferred)

Brief overview

Remote
4+ yrsMinimum
Product ManagementConversion OptimizationRetention MetricsA/B TestingStatistical RigorVWOOptimizelyMixpanelAmplitudeGoogle AnalyticsSQLCustomer ResearchProduct Specification WritingCustomer-driven Instincts

About the company

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.

Job description

Summary

Everlywell is a digital health company pioneering the next generation of biomarker intelligence. The Product Manager will drive execution on the Consumer business, focusing on metrics such as conversion and retention while managing the Consumer funnel end-to-end.

Responsibilities

  • Consumer funnel performance: checkout, results experiences, member portal, post-purchase, lifecycle. Owning the metrics and moving them
  • Experimentation program: A/B testing, analysis, continuous optimization. High cadence, statistical rigor
  • Roadmap execution: translating strategy into specs, sequencing, and shipped product
  • Strategic bets: partnering with the Director of Product on 0-to-1 work; you scope, ship, and iterate
  • Cross-functional execution across design, engineering, marketing, and CX, keeping everyone aligned and moving
  • Customer signal: talking to users, watching session replays, mining support tickets, surfacing what to fix next

Skills

  • 4-6 years of product management experience, ideally with a consumer or e-commerce focus
  • Proven results moving conversion or retention metrics. Bring the numbers
  • Deep experimentation experience: A/B testing, statistical rigor, tools like VWO, Optimizely, or similar
  • Execution muscle. You ship fast, unblock cross-functional partners, and don't let things stall
  • Strong analytics fluency: Mixpanel, Amplitude, GA, SQL, whatever it takes to get to the answer
  • Sharp prioritization. You can size opportunities and make trade-offs that hold up under scrutiny
  • Customer-driven instincts. You talk to users, watch replays, read tickets, and let signal drive decisions
  • Design and craft sensibility. You sweat the details and partner closely with design
  • Clear communicator and writer. You can write a spec engineers can build from and a one-pager that aligns stakeholders
  • Healthcare, healthtech, or other regulated/high-trust consumer experience
  • Subscription, repeat-purchase, or DTC e-commerce background
  • Experience executing 0-to-1 launches (you don't need to have led strategy, but having shipped new products helps)
  • Comfort with AI-driven product surfaces and how they show up in consumer experiences
  • Startup or scale-up experience where you owned outcomes with limited resources

Qualifications

Must Haves

  • 4-6 years of product management experience, ideally with a consumer or e-commerce focus
  • Proven results moving conversion or retention metrics. Bring the numbers
  • Deep experimentation experience: A/B testing, statistical rigor, tools like VWO, Optimizely, or similar
  • Execution muscle. You ship fast, unblock cross-functional partners, and don't let things stall
  • Strong analytics fluency: Mixpanel, Amplitude, GA, SQL, whatever it takes to get to the answer
  • Sharp prioritization. You can size opportunities and make trade-offs that hold up under scrutiny
  • Customer-driven instincts. You talk to users, watch replays, read tickets, and let signal drive decisions
  • Design and craft sensibility. You sweat the details and partner closely with design
  • Clear communicator and writer. You can write a spec engineers can build from and a one-pager that aligns stakeholders

Nice to Haves

  • Healthcare, healthtech, or other regulated/high-trust consumer experience
  • Subscription, repeat-purchase, or DTC e-commerce background
  • Experience executing 0-to-1 launches (you don't need to have led strategy, but having shipped new products helps)
  • Comfort with AI-driven product surfaces and how they show up in consumer experiences
  • Startup or scale-up experience where you owned outcomes with limited resources

Benefits

  • Hybrid work model

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