Description
What you'll do
Lead discovery with customer engineers to identify the real bottleneck and define clear success metrics.
Design and build Cursor-powered workflows (e.g., large-scale refactors, migrations, PR review loops, incident → fix pipelines, spec → implementation systems).
Ship a fast first version in days, then harden it into something reliable over weeks with proper rollout plans, monitoring, and iteration based on real usage.
Own production quality: tracing, evals, metrics, debugging model behavior, latency/cost tradeoffs, and failure modes.
Work directly with Staff+/Platform/Eng leaders , going deep in code while also communicating clearly about tradeoffs and results.
Turn what you build into reusable patterns and push improvements back into the core Cursor product.
You may be a fit if
You thrive in ambiguity and can turn fuzzy problems into clear scopes and shipped systems.
You've built and owned AI-native workflows in production , not just prototypes , and have debugged real-world model failures.
You're comfortable leading discovery conversations and being accountable for customer outcomes.
You build end-to-end. If it needs frontend, backend, infra, or prompt iteration, you'll own it.
You've handled production reliability before (metrics, alerts, safe rollouts, incident response).
You're strong in Python and TypeScript/JavaScript and can ramp quickly on new stacks.
Tell us about a time you convinced a technical audience to adopt a new solution or tool.
Please provide a brief answer in the application form.