Senior Lifecycle Marketing Manager

Join Talkiatry as a Senior Lifecycle Marketing Manager, where you will drive measurable performance improvements across the full patient lifecycle. This high-impact role requires a strong background in growth, lifecycle, or performance marketing, as well as proficiency in SQL and data analysis. You will collaborate with various teams to optimize lifecycle performance and enhance the patient experience. Benefits include a 401(k) match, paid parental leave, health insurance coverage, flexible remote work options, and generous PTO.

• Concevoir, exécuter et analyser des expériences et des initiatives ciblées pour améliorer les taux d'admission et d'activation, accélérer la progression des soins précoces et renforcer l'engagement continu.
• Travailler en étroite collaboration avec les opérations, le produit, l'ingénierie des données, les opérations marketing et la création pour permettre des programmes déclenchés par des événements, optimiser les performances du cycle de vie sur tous les canaux.
• Posséder la couche analytique pour la performance du cycle de vie, construire, maintenir et faire évoluer les cadres de reporting et les tableaux de bord qui donnent à l'équipe une vue claire et en temps réel de la santé du cycle de vie.

• Deep familiarity with cohort analysis, funnel diagnostics, and segment-level performance variation
• Strong SQL proficiency and comfort operating in data warehouses, with Snowflake experience preferred
• 5 to 8 or more years of experience in growth, lifecycle, or performance marketing with a track record of driving measurable outcomes
• Experience designing, measuring, and iterating on structured experiments, with a clear understanding of what incrementality means and why it matters
• Strong problem-solving skills and the ability to translate complex data into clear, concise business recommendations that influence prioritization and strategy
• 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