Senior Lifecycle Marketing Manager
New
S
Sequencing.comGenomics, Healthtech
Remote USFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- Data AnalysisA/B testingCRM
Requirements
- 7+ years in lifecycle, CRM, or retention marketing, ideally with a DTC subscription or SaaS focus.
- Expert-level understanding of email and lifecycle platforms (e.g., Blueshift, Braze, Iterable, Klaviyo, or similar tools).
- Hands-on experience with Segment or a similar CDP to power advanced segmentation, dynamic content, and event-driven journeys.
- Proven track record building and scaling automated lifecycle flows that move core business metrics.
- Exceptional writing and editing skills with a portfolio of campaigns showing strong copy and impact.
- Ability to translate technical or scientific content into approachable, benefit-focused language for non-expert audiences.
- Strong analytical skills and experience using dashboards to make data-driven decisions.
- Deep familiarity with experimentation and A/B testing across email and CRM channels.
- Comfortable using AI tools as a daily co-pilot to brainstorm, draft, refine, and analyze work.
Responsibilities
- Own lifecycle marketing strategy across activation, engagement, retention, win-back, and referral for subscription products.
- Analyze the entire customer journey to understand behavior, conversion, engagement, churn, and lifetime value across segments.
- Work directly with customer and product data to identify lifecycle gaps, behavioral patterns, and growth opportunities.
- Plan, build, and optimize campaigns across email, SMS, push, and in-product messaging.
- Build and improve automated programs spanning onboarding, kit activation, education, results delivery, and feature adoption.
- Translate complex genetic and scientific concepts into clear, personalized, benefit-driven messages.
- Use AI tools to increase speed and quality of ideation, content development, and analysis.
- Partner with Product, Data, and Engineering to improve event tracking and lifecycle infrastructure.
- Define hypotheses and design rigorous tests across messaging, offers, audiences, and workflows.
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