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CursorCursorSan Francisco, CA

Forward Deployed Engineer

Forward Deployed Engineer embeds with customer teams to build and own production-grade AI-powered coding workflows using Cursor, from discovery to iteration and integration back into the core product. Requires strong Python/TS skills, end-to-end ownership, and production reliability experience.

Salary not listed
HybridML Engineering

About the role

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

Skills

PythonTypeScriptJavaScriptCursorAI WorkflowsProduction MonitoringMetricsTracingPrompt EngineeringIncident Response

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