Responsibilities

• Design and execute structured A/B and multivariate tests across email, SMS, and in-app channels, building experimentation roadmaps tied directly to lifecycle KPIs like No show late cancel, visit completion, and retention
• Analyze funnel performance to identify gaps, diagnose segment and state-level variation, and translate findings into prioritized, data-backed improvements
• Actively test and evaluate AI-powered capabilities within the lifecycle stack, including send-time optimization, predictive segmentation, dynamic content, and propensity modeling, treating each as a hypothesis to be validated rather than a feature to be adopted
• Partner with Data, Engineering, and Operations to integrate machine learning signals, including no-show risk, churn risk, and engagement propensity, into lifecycle triggers and journeys in ways that are measurable and incrementally proven
• Bring analytical rigor and healthy skepticism to AI outputs, validate model performance, monitor for drift, and ensure AI-assisted decisions are always grounded in patient outcomes and business impact
• Own the analytical layer for lifecycle performance, building, maintaining, and evolving reporting frameworks and dashboards that give the team a clear, real-time view of lifecycle health
• Write SQL queries and partner with Analytics and BI teams to surface actionable insights from patient behavior, funnel performance, and experiment results
• Set the measurement standard for the team by defining success metrics, ensuring proper instrumentation, and holding experiments to an incrementality bar before results are acted on
• Diagnose state-level and segment-level performance variation to identify where the lifecycle is working and where it needs attention
• Lead through influence across Product, Operations, Marketing Operations, Data Engineering, and Creative, driving alignment across technical and non-technical stakeholders on shared lifecycle priorities

Requirements

• 5 to 8 or more years of experience in growth, lifecycle, or performance marketing with a track record of driving measurable outcomes
• Strong SQL proficiency and comfort operating in data warehouses, with Snowflake experience preferred
• Experience designing, measuring, and iterating on structured experiments, with a clear understanding of what incrementality means and why it matters
• Deep familiarity with cohort analysis, funnel diagnostics, and segment-level performance variation
• A genuine curiosity about AI and ML applications in lifecycle marketing, including predictive modeling, dynamic content, propensity scoring, and intelligent automation, paired with the analytical rigor to evaluate them critically rather than adopt them uncritically
• Comfort testing and forming opinions on new tools quickly, without waiting for a perfect use case to start learning, and the ability to separate real lift from noise
• Strong problem-solving skills and the ability to translate complex data into clear, concise business recommendations that influence prioritization and strategy

Benefits

• Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care
• Collaborative environment: be part of building something from the ground up at a fast-paced startup
• Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more!
• Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands
• It all comes back to care: we’re a mental health company, and we put our team’s well-being first