AI-Driven Lifecycle Marketer

AI-Driven Lifecycle Marketer

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Lovable

At a Glance

  • Tasks: Lead AI-driven lifecycle marketing strategies to boost customer engagement and retention.
  • Company: Join Lovable, a forward-thinking company focused on innovative marketing solutions.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Make a real impact by designing adaptive marketing programs that resonate with customers.
  • Qualifications: Experience in lifecycle marketing and proficiency with modern marketing platforms.

The predicted salary is between 60000 - 80000 £ per year.

Lovable is seeking a seasoned lifecycle marketing leader to own activation, engagement, retention, and reactivation for the self-serve base. You’ll design adaptive, AI‑driven programs and run PoCs for product launches, partnering with Data, Product and GTM teams to ensure messaging is native and valuable.

You’ll work hands‑on with modern platforms (Braze/Iterable/Customer.io), email templates, and data pipelines to ship experiments that move true incremental metrics.

AI-Driven Lifecycle Marketer employer: Lovable

At Lovable, we pride ourselves on being an exceptional employer that fosters a culture of extreme ownership and collaboration. Based in the vibrant city of Stockholm, we offer our team members the chance to work at the cutting edge of AI software creation, with ample opportunities for personal and professional growth. Join us to be part of a small, talented team where your contributions will directly impact millions of users worldwide, all while enjoying a fast-paced and innovative work environment.

Lovable

Contact Details:

Lovable Recruitment Team

We think you need these skills to ace AI-Driven Lifecycle Marketer

Lifecycle Marketing
AI-Driven Program Design
Activation Strategies
Engagement Tactics
Retention Techniques
Reactivation Campaigns
Collaboration with Data Teams