Lifecycle Marketing Lead
New
M
MirageAI video
Full-time remote work for candidates whose primary residence is more than 50 miles from our officeFull-TimeLead
Salary$100K - $200K; $100K – $200K • Offers Equity
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Job Details
- Experience
- Minimum of 7+ years of experience in lifecycle, CRM, or retention marketing at a software company or high-growth subscription business
- Required Skills
- CRM
Requirements
- Have at least 7 years of experience in lifecycle, CRM, or retention marketing at a software company or high-growth subscription business.
- Have a track record of building lifecycle programs from early foundations, not only optimizing mature systems.
- Bring expert-level proficiency in Iterable, including building complex journeys and running experiments.
- Have experience across the full customer lifecycle and understand how lifecycle programs affect subscription metrics.
- Have strong mobile experience driving engagement across iOS and Android, with experience owning cross-channel strategies.
- Have experience designing structured tests and measuring incrementality.
- Bring a collaborative approach to cross-functional work.
- Bonus: Understand the creator economy and end-to-end content creation process.
- Bonus: Have experience in product-led growth or self-serve funnels.
- Bonus: Have experience with mobile measurement, attribution, or analytics platforms such as Amplitude or Mixpanel.
Responsibilities
- Own the customer lifecycle across Captions’ products, from onboarding and activation to conversion, retention, and winback.
- Define and execute a lifecycle marketing roadmap aligned with company goals and product priorities.
- Build, launch, and optimize campaigns across email, push, in-app, and SMS.
- Design and run experiments to improve trial conversion, churn, reactivation, and lifetime value.
- Partner with product, engineering, data science, and creative teams to deliver personalized, timely customer experiences.
- Use data and insights to improve campaign performance and inform lifecycle strategy.
- Use AI tools to accelerate execution, improve copy, and support analysis and experimentation.
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