2 min lesson
Recruiter / hiring-manager screen
Deliver your 90-second story for a GTM system you built end to end. Does it name the mess, the system, the impact and one metric?
Step 1 of 2
Thirty minutes, light on detail and heavy on signal. The screener is sorting for one thing: do you read like a GTM engineer who builds infrastructure or like campaign ops who happens to use tools.
Open with a tight 90-second story of a GTM system you built end to end. Name the impact it created and the one metric it moved, then stop. Most candidates ramble through three projects; you land one.
- The mess
- The manual, brittle workflow before you - who did it by hand and how often.
- The system
- What you built: the orchestration layer, the APIs you wired, the logic you encoded.
- The impact
- Manual hours removed, volume it now handles, reliability it added.
- The metric
- One number that moved - match rate, routing SLA, qualified pipeline, response time.
“Why Cursor” has to be specific to this role, not generic AI enthusiasm. Tie it to AI-native impact, the developer audience and building program infrastructure for a product-led growth (PLG) to enterprise motion.
“I want GTM engineering at Cursor because the motion is developer-led and PLG-to-enterprise, which is exactly where good plumbing compounds - startup programs, the dev ecosystem, partnerships all share primitives if you build them right. And the team actually reaches for agents and MCPModel Context Protocol. A standard that lets an AI agent pull in context from outside the repo, like Jira tickets or internal docs. Press Enter for the full definition. instead of hiring people to do toil. I've built waterfall enrichment and routing against APIs before; here I'd get to make it AI-native and durable from the start.”