AI Fund is on a mission to empower everyone to build with AI, and they are seeking a Lifecycle Marketing Manager to enhance user conversion from free to paid subscriptions. This role involves strategizing, automating, and measuring the user journey to improve retention and reduce churn.
Responsibilities:
- Own the win-back and re-engagement strategy for lapsed free users and at-risk paid subscribers
- Diagnose the drivers of our current subscriber plateau using Stripe, PostHog, and CRM data, and build the first corrective campaigns within 30 days
- Design and ship lifecycle flows that recover users who abandon checkout which is currently our single largest funnel drop-off at roughly 80%
- Build a recurring churn cohort analysis and present findings to marketing and product leadership monthly
- Own the trial-to-paid journey end to end including timing, messaging, and incentive structure for every touchpoint between sign-up and subscription
- Partner with Product Marketing to align in-platform messaging with lifecycle email and notification sequences
- Run structured A/B tests on trial length, onboarding sequencing, and conversion offers, and scale what works
- Build segmentation logic across our CRM contacts so every message reflects where a person actually is in their journey whether free, trial, lapsed, or paid
- Set the strategic roadmap for all lifecycle and nurture email, partnering with the Marketing Operations Coordinator who owns execution and tooling
- Define the audience segments, triggers, and journey logic inside our CRM platform (Customer.io)
- Own subject line, send time, and frequency strategy across the lifecycle calendar, balancing conversion goals against list fatigue and unsubscribe risk
- Partner with Editorial on how The Batch and other newsletters feed into lifecycle journeys rather than existing as a disconnected channel
- Own lifecycle KPIs including free-to-paid conversion rate, checkout completion rate, 30/60/90-day retention, and churn rate. Report on them with a consistent cadence
- Build the LTV and cohort retention views our current dashboard is missing, partnering with Data Engineering on the underlying instrumentation
- Translate lifecycle performance into a clear narrative for leadership: what's improving, what isn't, and what you're doing about it