Lifecycle Growth Lead, Health Tech (0-to-1)

Nourish; San Francisco (CA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Nourish is hiring for a Lifecycle Marketing role to shape how millions of patients engage with nutrition care. As an early team member, you’ll build the lifecycle program from scratch, defining strategy, launching experiments, and enabling new capabilities to create a durable growth engine.

You will own end-to-end lifecycle moments, work with Product, Data, and Engineering to design personalized, cross-channel interventions, and drive meaningful patient outcomes through data-informed decisions.

Qualifications

• 3–7 years of experience in lifecycle marketing, growth marketing, or related high-impact function.
• Data-fluent with experimentation and able to drive analysis from insight to action.
• 0-to-1 builder who launches programs from scratch and thrives in ambiguity.

Responsibilities

• Own the roadmap, strategy, and execution for key lifecycle moments (e.g., reactivation, early engagement).
• Own data and reporting; design and run hypothesis-driven A/B tests and dashboards.
• Partner cross-functionally with Product, Data, Engineering, and Creative to integrate lifecycle into the patient experience.
• Design and scale campaigns across email, SMS, push, and product touch points with segmentation and personalization.
• Turn patient signals into outcomes by translating insights into actionable roadmap decisions.

Skills

Lifecycle marketing

Data-driven decision making

Cross-functional collaboration

Tools

Customer.io or similar ESPs

Job description

Nourish is hiring for a Lifecycle Marketing role to shape how millions of patients engage with nutrition care. As an early team member, you’ll build the lifecycle program from scratch, defining strategy, launching experiments, and enabling new capabilities to create a durable growth engine.

You will own end-to-end lifecycle moments, work with Product, Data, and Engineering to design personalized, cross-channel interventions, and drive meaningful patient outcomes through data-informed decisions.