Lifecycle Marketer, Enterprise

TL;DR - You’ll own and operate demand-gen nurture flows for net-new prospects, lifecycle programs for customers (upsell/expansion), partnerships and ad-hoc one-off sends, increasingly driven by AI-enabled personalization.

This is a high-impact, hands-on role shaping how B2B users experience Lovable every day.

Why Lovable?

Lovable is the software creation platform that gives people the power to act on the problems closest to them.

For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life.

Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving.

From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024.

And we’re just getting started.

We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco.

Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration.

We look for people who care deeply, ship fast, and are eager to make a dent in the world.

Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software.

What we’re looking for

8+ years of experience in B2B lifecycle / CRM marketing, growth, or a related discipline

3+ years of deep, hands-on expertise with tools such as HubSpot

Proven experience with email deliverability, list hygiene, and sender reputation

Strong analytical instincts and comfort using data to drive prioritization and decision-making

Experience building adaptive, evolving lifecycle systems, not just static journeys

Hands-on experience applying AI and automation to:

Content creation

Decisioning logic

Comfort operating in ambiguity and designing systems that improve over time