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Lifecycle Marketing Generalist (Patient Experience)

company
Headway
location
United States {{REMOTE}}, United States
posted
22 Oct
  • Headway’s patient lifecycle function is a blank canvas. You will build the owned-channel relationship with every Headway patient from first contact through long-term care, using email, SMS, push, and in-app messaging to help people access and sustain mental health care
  • You will build and run campaigns yourself, working cross-functionally with Product and Data to design and optimize the full patient journey
  • You will work directly with Engineering to instrument events and ship notification infrastructure, and with Data Science to bring model-driven personalization to lifecycle at
  • Design and build triggered lifecycle journeys across email, SMS, push, and in-app — from welcome and activation through re-engagement and long-term retention
  • Own segmentation end-to-end: pull audiences, validate event data, and QA campaign logic without a data ticket for every audience build
  • Design and run A/B and multivariate tests; measure incrementality through holdouts and downstream conversion, not opens and clicks
  • Build from a queue of campaign ideas and backlog
  • Partner with Product to align lifecycle programs to product milestones and patient-facing features
  • Work with Engineering to instrument behavioral events and build the notification infrastructure that powers lifecycle
  • Collaborate with Data Science to bring predictive signals — churn propensity, appointment readiness — into campaign triggers and personalization logic
  • Build and maintain an experimentation roadmap prioritized by expected impact on patient activation and retention- Consumer health, wellness, subscription, or financial services background — you understand users where trust is fragile and the product is deeply personal
  • Have personally designed, run, and analyzed A/B tests in lifecycle. You can explain what a holdout group is and why it matters
  • 6+ years building lifecycle programs hands-on — email, SMS, and at least one of push or in-app
  • Active practitioner with AI tools — you use them in your work today, not just in conversation
  • Deep platform fluency in Iterable, Braze, or a comparable consumer lifecycle tool
  • Comfortable in ambiguity: no playbook. You see that as the opportunity
  • Comfortable with data: you can pull a segment, validate event data, and QA a campaign flow without filing a data ticket

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