Senior Lifecycle Marketing Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of measurable performance enhancements throughout the entire patient lifecycle, encompassing onboarding, activation, early care, and long-term retention.

• Create, implement, and analyze A/B and multivariate tests across email, SMS, and in-app channels.

• Develop experimentation roadmaps linked to lifecycle KPIs such as no-show/late-cancel rates, visit completion, and retention.

• Examine funnel performance, segment variation, and state-level differences to pinpoint gaps and prioritize enhancements.

• Evaluate and test AI-driven lifecycle capabilities, including send-time optimization, predictive segmentation, dynamic content, and propensity modeling.

• Collaborate with Data, Engineering, Operations, Marketing Operations, and Product teams to incorporate machine-learning signals into lifecycle triggers and journeys.

• Assess AI model performance, monitor for drift, and ensure that AI-assisted decisions are rooted in patient outcomes and business impact.

• Establish, maintain, and advance lifecycle performance reporting frameworks and dashboards.

• Write SQL queries and work with Analytics and BI teams to extract actionable insights.

• Define success metrics, ensure appropriate instrumentation, and uphold an incrementality standard for experiments.

• Facilitate cross-functional alignment among both technical and non-technical stakeholders.

• Collaborate with the Creative team on messaging hypotheses and content strategies.

• Synchronize behavioral and product signals across lifecycle programs to create a cohesive patient experience.

⛳️ Requirements

• 5 to 8 years or more of experience in growth, lifecycle, or performance marketing with a proven history of achieving measurable results.

• Strong SQL skills and comfort working within data warehouses; experience with Snowflake is preferred.

• Proven experience in designing, measuring, and refining structured experiments.

• Clear understanding of incrementality and its significance.

• Deep knowledge of cohort analysis, funnel diagnostics, and segment-level performance variation.

• Genuine interest in AI and ML applications in lifecycle marketing, including predictive modeling, dynamic content, propensity scoring, and intelligent automation.

• Analytical rigor to evaluate AI and ML applications critically.

• Comfort in testing and rapidly forming opinions on new tools.

• Ability to differentiate real performance improvement from noise.

• Strong problem-solving abilities.

• Capability to translate complex data into clear, concise business recommendations.

• Must have authorization to work in the U.S.; visa sponsorship or transfer requirements are addressed during the application process.

🏝️ Benefits

• Medical, dental, and vision insurance effective from day one of employment.

• 401K plan with matching contributions.

• Generous paid time off (PTO) plus paid holidays.

• Paid parental leave.

• Opportunities for learning and professional development.

• A collaborative, mission-driven startup environment.

• Focus on team well-being.