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Role Type: Lifecycle Marketing / CRM / AI-Native Patient Engagement / Retention / Growth
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Ideal Experience Level: 6+ years, including 3+ years owning lifecycle, CRM, retention, or owned-channel growth
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Location: In-Person in San Francisco, CA
Legion is hiring an AI Lifecycle Product and Marketing Leader to build the AI-native patient communication engine that helps people start care, stay in care, come back when they lapse, and feel personally supported across months and years of treatment.
This is not a typical lifecycle marketing job. We are not looking for someone to manage a static email calendar, build a few drip campaigns, and optimize subject lines. Legion has rich patient data, production AI, clinical workflows, scheduling events, insurance data, intake behavior, appointment history, medication renewal patterns, and care operations all inside one vertically integrated system. That means we can build something far more powerful: a personalized, proactive communication engine that knows where each patient is in their journey and automatically helps move them to the next right step.
You will build the system that makes Legion feel impossibly responsive. A patient who stalls in intake should get the right nudge. A patient who books but does not complete prep should get the right reminder. A patient at risk of missing follow-up should be guided before they lapse. A patient due for renewal should understand what to do next. A patient who churned should receive a thoughtful, relevant path back. Over time, the engine should become more intelligent, more personalized, and more autonomous.
The right person combines the lifecycle rigor of DoorDash, Instacart, Airbnb, or Sephora; the patient-journey discipline of Hims, Thirty Madison, Headway, or Talkiatry; the retention instincts of Noom, Peloton, WHOOP, or Duolingo; and the AI-native curiosity required to build communication systems that can generate, personalize, test, and improve patient journeys at scale.
This is a founding systems-builder role. You should be comfortable designing lifecycle strategy, mapping patient states, writing copy, building CRM logic, creating segments, using AI tools, QAing flows, debugging event data, launching experiments, and partnering with product, engineering, data, ops, and clinical teams to create an engine that increasingly works on its own.