Summary
✨ AI‑Generated
Work directly with engineering teams to identify bottlenecks, design practical solutions, and deliver production-grade systems end-to-end. You will lead discovery, define measurable outcomes, build and launch solutions, and support them after deployment in a fast-moving, highly collaborative environment.
Highlights
High-ownership engineering role with direct customer collaboration, end-to-end responsibility, and the opportunity to ship production-grade solutions that measurably improve engineering workflows.
Description
Our mission is to automate coding.
The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering.
Our organization is very flat, and our team is small and talent dense.
We particularly like people who are truth-seeking, passionate, and creative.
We enjoy spirited debate, crazy ideas, and shipping code.
About The Role
Forward Deployed Engineers embed directly with customer engineering teams to ship production-grade Cursor workflows that measurably improve how they build software.
You’ll figure out what’s actually slowing a team down, design a practical solution, and own it end-to-end, from first discovery call through launch, iteration, and post-production support.
This is not a demo role.
You are responsible for systems that work in the real world.
What You’ll Do
Lead discovery with customer engineers to identify the real bottleneck and define clear success metricsDesign 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 usageOwn production quality: tracing, evals, metrics, debugging model behavior, latency/cost tradeoffs, and failure modesWork directly with Staff+/Platform/Eng leaders — going deep in code while also communicating clearly about tradeoffs and resultsTurn 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 failuresYou’re comfortable leading discovery conversations and being accountable for customer outcomesYou build end-to-end.
If it needs frontend, backend, infra, or prompt iteration, you’ll own itYou’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
Our mission is to automate coding.
The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering.
Our organization is very flat, and our team is small and talent dense.
We particularly like people who are truth-seeking, passionate, and creative.
We enjoy spirited debate, crazy ideas, and shipping code.
What You’ll Do
Lead discovery with customer engineers to identify the real bottleneck and define clear success metricsDesign 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 usageOwn production quality: tracing, evals, metrics, debugging model behavior, latency/cost tradeoffs, and failure modesWork directly with Staff+/Platform/Eng leaders — going deep in code while also communicating clearly about tradeoffs and resultsTurn 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 failuresYou’re comfortable leading discovery conversations and being accountable for customer outcomesYou build end-to-end.
If it needs frontend, backend, infra, or prompt iteration, you’ll own itYou’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
