Forward Deployed Engineer

You embed inside a commerce brand and ship AI into the workflows where revenue actually happens. Their stack, their data, their team, their production.

AI that lives in a deck doesn't grow anything. 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.

• Embed with the brand's team and learn their operation from the inside: how an order actually flows, where decisions get made, where the data nobody has cleaned lives.
• Ship AI into the production workflows where the money moves: merchandising, lifecycle, support, ops.
• Own the work from the first conversation with their team to the moment it's running in their production.
• Build in their stack and their data, not a sandbox.
• Keep what you ship running, and instrument it so everyone can see what it did to their numbers.
• Bring what you learn inside one brand back into how we build for the next.

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.

• You're a strong engineer who'd rather sit inside a real business than behind a backlog.
• Ambiguity doesn't scare you, and neither do other people's messy systems.
• You'd take one thing running in production over ten things demoed.

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.

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

Not a resume. One thing you made or moved that speaks to this role. We read every one, and we write back either way.