Backed by Emergence Capital.
About the role
This is our founding GTM Engineer. Nothing is inherited: no legacy stack, no old playbook, no "that's how we've always done it." You get first pick of what to build, and you own the results. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- You've shipped a revenue system that ran in production and moved a number you can name. Clay, n8n, Python, TypeScript, SQL, or plain APIs — the tool matters less than the outcome
- You're fluent in SQL against a warehouse — and you know why a metric definition has to be agreed before it's automated
- You've lived inside a GTM org — RevOps, growth, sales engineering, or as a founder doing all three. You understand how a rep, a marketer, and a CS manager actually spend their day
- You build with AI agents daily — not just drafting with them. You can explain where they fail and how you catch it
- You write specs people can build from — a one-pager a stakeholder signs off on and a teammate can execute without a meeting
- You have high agency — you identify the gap and go after it. You don't need a ticket to fix something broken
More about this role
This is our founding GTM Engineer. Nothing is inherited: no legacy stack, no old playbook, no "that's how we've always done it." You get first pick of what to build, and you own the results.
The job is to build the revenue machine as software: a clean data spine, an action layer that writes safely into our CRM, ad accounts, and email, and a fleet of narrow agents that each own one motion and one number. You are not a RevOps analyst who produces dashboards and waits for someone else to implement. You are a strategist who codes.
And there's a twist most companies can't offer: every agent we run internally becomes a reference architecture we show customers. Your work won't sit in an ops backlog — it'll be on stage in sales conversations.
This role reports to the Head of GTM Engineering — flat org, no layers between you and the decision-maker.
Build and own two to four GTM agents end to end — the loop, the evals, the guardrails, and the metric each one moves. First candidates: speed-to-lead routing, call prep, CRM hygiene from transcripts, and PQL detection from product usage.
Stand up the data spine — pipelines from CRM, product usage, billing, ads, and web analytics into a...
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