Forward Deployed Engineer

Why this role exists

AI that lives in a deck doesn't grow anything. The work counts when it runs inside the brand's own production, in the workflows where revenue actually happens. That takes an engineer who goes in, their stack, their data, their team, and ships there. It's the role the frontier labs are staffing hardest right now, and we've scoped it to one vertical, commerce, because that's the domain we live in.

The system you'll model

The brand's operation from the inside. How an order actually flows, where merchandising decisions get made, what lifecycle and support really look like at their volume, and where the data lives that nobody has cleaned. You model their world, not ours, because that's where the work has to run.

What you'll own

What ships. AI in the workflows where the money moves: merchandising, lifecycle, support, ops. You own it from the first conversation with their team to the moment it's running in their production, and it isn't done until it is.

Who you are

You're a strong engineer who'd rather sit inside a real business than behind a backlog. Ambiguity doesn't scare you, other people's messy systems don't scare you, and you'd take one thing running in production over ten things demoed.

Who this isn't for

If you want a clean codebase, a fixed roadmap, and no meetings with the client's ops lead, stay away from this one. Embedded means embedded.

How we evaluate

By what's running in the brand's production and what it did to their numbers. Not by the demo.