Lifecycle Marketing Specialist (self-serve)

Lovable Lovable · Coding AI · London, United Kingdom · Marketing

This role focuses on executing lifecycle marketing for a self-serve customer base, emphasizing AI-driven personalization for activation, engagement, retention, and reactivation. The specialist will design and implement intelligent, dynamic marketing programs using AI and automation across various channels, with a strong focus on experimentation and data-driven optimization to ensure messaging is relevant and valuable.

What you'd actually do

  1. Operate lifecycle marketing for the self-serve base across activation, engagement, retention, and reactivation.
  2. Lifecycle PoC for product launches, experiments, and GTM moments
  3. Design intelligent, rules-based or algorithmic lifecycle programs that dynamically decide who to message, when to reach them, which channel to use (email, inbox, push, and emerging CRM channels), and what content to send, based on behavior and context
  4. Work AI-first across your entire workflow, applying AI and automation to content generation, personalization, segmentation, decisioning, and analysis
  5. Build experimentation and data-driven optimization into every lifecycle program, measuring true incremental impact rather than surface-level engagement

Skills

Required

  • 5+ years in B2C lifecycle, CRM, or growth marketing at consumer or PLG scale
  • 3+ years of deep, hands-on expertise with a modern lifecycle marketing platform like Braze, Iterable, or Customer.io
  • Fluency in Liquid templating and email HTML/CSS, segmentation logic, and event-driven campaign architecture
  • Experience building adaptive, evolving lifecycle systems, not just static journeys
  • Hands-on experience applying AI and automation to content creation, personalization, segmentation, and decisioning logic
  • Comfort operating in ambiguity and designing systems that improve over time
  • Content craftsmanship to ensure content going out always builds on Lovable’s brand

Nice to have

  • experience with CDPs, event pipelines (e.g., RudderStack) and SQL for self-serve analysis

What the JD emphasized

  • Hands-on experience applying AI and automation to content creation, personalization, segmentation, and decisioning logic
  • Work AI-first across your entire workflow, applying AI and automation to content generation, personalization, segmentation, decisioning, and analysis