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We’re looking for a deeply technical, highly innovative Lifecycle Marketing Lead to reinvent how consumer lifecycle marketing drives growth at Lovable. You’ll own messaging across email, push and emerging CRM channels, and be driving forward what’s possible with AI-driven personalisation. This is a high-impact role shaping how millions of users experience Lovable every day.
Job Responsibility:
Own the consumer lifecycle marketing strategy end-to-end, spanning onboarding, activation, engagement, retention, resurrection and monetisation
Design and evolve intelligent CRM systems that dynamically decide who to message, when, where and with what content, based on user behaviour and context
Build robust experimentation frameworks to measure the true incremental impact of lifecycle messaging and avoid over-attribution
Partner with data and engineering to develop decisioning, prioritisation and optimisation logic that scales across millions of users
Lead the use of AI-driven content generation and personalisation, ensuring messages are both scalable and high quality
Continuously analyse performance using SQL, BI tools and experimentation results to identify high-leverage opportunities
Work closely with product teams to ensure lifecycle messaging feels native, timely and valuable
Set best practices for frequency management, fatigue prevention and long-term user trust
Stay at the cutting edge of lifecycle, experimentation and AI, and translate new ideas into production systems
Requirements:
8+ years of experience in lifecycle/CRM marketing, growth, or a closely related discipline, with ownership over large-scale user messaging systems
Strong technical depth in CRM: experience designing complex lifecycle systems across email, push, in-product and other programmatic channels
Expertise in experimentation and optimisation, including lift testing, holdouts, causal inference and understanding marginal impact at the user and system level
Proven experience building adaptive, rules-based or algorithmic decisioning systems for messaging, prioritisation, timing and frequency
Strong analytical skills, including SQL proficiency, comfort working directly with large datasets, and the ability to reason about noisy, real-world experiments
Experience partnering closely with data science, engineering and product to ship sophisticated lifecycle capabilities
Hands-on experience applying AI and automation to content generation, personalisation, segmentation or decision-making within CRM
High product intuition and user empathy — able to balance optimisation with long-term trust and experience
Comfort operating in ambiguity and designing systems that evolve over time rather than relying on static journeys
Proven experience using vibe coding to improve your effectiveness at work