Director Lifecycle Marketing

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We are seeking a Lifecycle Marketing Director to define, own, and evolve our end-to-end patient and provider lifecycle strategy, spanning onboarding, activation, early care, retention, and reactivation. This is a senior leadership role at a critical inflection point in Talkiatry's growth, with real scope to build the lifecycle engine that will carry the company through its next phase. You will set the vision and drive measurable impact across the lifecycle by improving activation rates, accelerating early care progression, strengthening retention, and increasing long-term patient value. You will establish a structured experimentation roadmap, build scalable lifecycle capabilities, and orchestrate cohesive end-to-end experiences across segments, channels, and cross-functional teams. You will also shape how Talkiatry applies AI and machine learning to lifecycle marketing, not as a future aspiration but as a near-term capability, from predictive engagement and propensity modeling to intelligent automation and real-time decisioning. This means building the data and infrastructure foundation that makes those capabilities possible, and leading a team that tests, validates, and scales them responsibly. You will partner closely with Marketing, Product, Engineering, Data, and Operations to ensure lifecycle strategy is tightly aligned with business priorities, regulatory requirements, and a consistent, high-quality experience for both patients and providers. About Talkiatry Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare's most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we're changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care. Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 750+ psychiatrists, 250+ therapists, and more than two million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We're not just growing quickly - we're redefining how behavioral healthcare is delivered in America. Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose. You will: Lifecycle Strategy and Ownership Own the lifecycle vision and roadmap across the full patient journey, from Intake through Booking, Visit, Retention, and Reactivation, ensuring each stage is connected, instrumented, and optimized Define lifecycle KPIs including No show late cancel, visit completion, retention, and LTV, and align them explicitly to company goals and investor priorities Establish a structured experimentation framework that generates compounding learning and drives incremental lift across the lifecycle Balance short-term performance optimization with longer-term infrastructure investment, making explicit tradeoffs and communicating them clearly to leadership Define and maintain the governance model for lifecycle communications, including naming conventions, suppression logic, frequency controls, and documentation standards Experimentation, AI, and Growth Develop and prioritize a test roadmap grounded in behavioral insight, data analysis, and a clear theory of where the highest-leverage opportunities exist Partner with Analytics and Data Engineering to measure incremental impact, define success metrics, and hold experiments to a rigorous incrementality standard before scaling Actively drive the integration of AI and machine learning capabilities into the lifecycle stack, including send-time optimization, propensity modeling, predictive segmentation, and dynamic content, treating each as a hypothesis to validate rather than a capability to adopt uncritically Partner with Data Science and Engineering to bring machine learning signals, including no-show risk, churn risk, and engagement propensity, into lifecycle triggers and journeys in ways that are measurable, compliant, and incrementally proven Identify lifecycle gaps and friction points across the funnel and translate them into a prioritized roadmap with clear expected impact Scale high-performing experiments into durable, automated programs Cross-Functional Leadership Partner with Product and Engineering to define event coverage needs, data requirements, and lifecycle infrastructure priorities, ensuring the platform can support the strategy

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