Applied AI Engineer

About the role

We're building agents that run real parts of our business, take on real work, and get better based on the results they produce. You'll build them with whatever is most capable right now: our own agents platform, the latest orchestration tools, and frontier models. The hard part is making them reliable, measurable, and safe enough for the business to depend on.

You'll sit in Marketing Engineering and be forward-deployed to our growth pods, where you'll find the problems worth solving and own the solutions end to end. You might be a forward-deployed builder, an applied AI engineer who has taken agents beyond the demo stage, or a full-stack engineer who is curious about growth.

Requirements

• Python, SQL, LLM APIs and agent orchestration
• You've shipped production systems that other people relied on, starting from a vague problem
• You've built with LLMs beyond a demo and know how to evaluate them and where they fail
• You measure whether what you built worked
• Bonus: experience with GTM data or marketing systems.