What the job actually is

Owning an AI capability as a business outcome rather than a feature — what ships, at what quality bar, priced how. The interesting development is GTM Engineer, a title that barely existed two years ago and now appears across the corpus: someone who writes code in service of revenue, building the demos, integrations and internal tooling that close deals. It sits between archetypes 1 and 7 and is a genuinely good landing spot for an engineer who likes customers.

Titles this hides behind

The loop

Prepare like this

• Have a position on eval-gated launch — the specific bar you would hold a release to, and what you would do the week it is missed.
• Know token unit economics well enough to price a feature. Cost per request, per resolved task, and how it moves when the agent retries.
• Be able to say what you would cut. Every strategy case is secretly a scoping test.
• Prepare the failure story: an AI feature that shipped and underperformed, and what you learned about the gap between demo and production.

Red flags in the posting

Compensation