2 часа назад
Senior Lifecycle Marketing Manager (AI/ML)
145 000 - 185 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Lifecycle Marketing Manager (AI/ML): Designing, executing, and analyzing lifecycle experiments across email, SMS, and in-app channels to improve patient activation, visit completion, and retention with an accent on SQL-driven funnel analysis, incrementality, and AI/ML-powered segmentation. Focus on validating predictive signals, monitoring model performance and drift, and building measurable lifecycle programs with Product, Operations, Data Engineering, Marketing Operations, and Creative.
Location: Remote; candidates must be authorized to work in the United States.
Salary: $145,000–$185,000 per year.
Company
is a technology-powered, in-network psychiatry practice improving access to mental health care for patients and reducing administrative burden for clinicians across the United States.
What you will do
- Design, execute, and analyze structured A/B and multivariate experiments across email, SMS, and in-app channels.
- Build lifecycle experimentation roadmaps tied to activation, visit completion, no-show or late-cancel rates, and retention.
- Analyze funnels, cohorts, segments, and state-level variation to identify performance gaps and prioritize improvements.
- Evaluate AI and machine learning capabilities such as predictive segmentation, send-time optimization, dynamic content, and propensity modeling.
- Partner with Data Engineering, Product, Operations, Marketing Operations, Analytics, BI, and Creative to launch measurable lifecycle journeys.
- Own lifecycle reporting, dashboards, instrumentation, SQL analysis, and the team’s incrementality standards.
Requirements
- 5–8 or more years of experience in growth, lifecycle, or performance marketing with measurable results.
- Strong SQL proficiency and experience working with data warehouses; Snowflake experience is preferred.
- Experience designing, measuring, and iterating on structured experiments and applying incrementality principles.
- Deep familiarity with cohort analysis, funnel diagnostics, and segment-level performance variation.
- Understanding of AI and ML applications in lifecycle marketing, with the rigor to validate model performance, distinguish lift from noise, and monitor drift.
- Must be authorized to work in the United States; participates in E-Verify.
Culture & Benefits
- Mission-driven work focused on improving mental health care.
- Diverse, experienced, and collaborative environment at a fast-paced startup.
- Medical, dental, and vision coverage effective on the first day of employment.
- 401(k) with match, generous paid time off, paid holidays, and paid parental leave.
- Learning opportunities to develop existing skills and build new ones.
- Focus on employee well-being and an inclusive workplace.
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