Growth Marketing Manager, AI

  Prolific

Prolific is not just another player in the AI space—we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models.

The role

We aren’t looking for a standard "lead generator." We are looking for a technical growth marketing manager to support the GTM motion for the most critical layer of the AI stack - the human data that powers frontier models.

Your audience isn't a generic "marketing director." You are targeting the builders at the world’s leading AI labs. You understand that "Growth" in this sector doesn't mean spamming emails. It means demonstrating technical competency, signal based intent, and positioning Prolific as the inevitable infrastructure for safe and capable AI.

We believe the future of marketing is AI-native. You shouldn't just be marketing to AI companies. You should be operating like a team of five by utilising the latest technology to handle the grunt work, leaving you free to focus on high level strategy, creative execution and delivering outcomes.

What you’ll bring to the role

• You speak "Engineer": You might not write production code, but you understand the AI lifecycle. You know the difference between SFT and RLHF. You enjoy reading published research on complex topics.
• You are an AI native builder: You don’t wait for Ops to build you a report. You are comfortable with tools like Clay, Zapier, Cowork, Skills or custom GPTs to hack together a workflow that gets the job done today, not next month.
• Comfortable with change: You are a high velocity learner. The AI landscape changes weekly. You are relentless when it comes to keeping abreast of what’s happening in the model development space.
• You are a commercial killer: While you love the tech, you are here to drive revenue. You are obsessed with pipeline contribution, conversion rates, and CAC efficiency. You treat growth as a science experiment where ROI is the only metric that matters.
• Execution bias: You have a database of initiatives where you identified a problem, built the solution, and measured the impact - all without waiting for permission.

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