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查看雇主原标题Forward Deployed Engineer

Cursor (Anysphere) · Australia; Singapore; 日本

职位信息来自雇主公开的招聘页面。申请前请务必在雇主官网核实详情。

为什么值得关注?

发现指数 46/100,仅依据与该职位一起存储的证据计算。

46/100 发现指数
  • 新的雇主官方职位

分数构成

  • 时效性 (随职位发布时间变化)+18
  • 雇主官方来源+15
  • 稀有职位+5
  • 公司来源健康度+8

该职位未包含:已披露薪资、远程职位、提及签证担保、提及搬迁、未出现在监控的职位板上。

这些理由来自雇主自己的职位描述与我们核实过的来源检查结果。除了已存储的信号之外,我们不做任何推测。

职位描述

英文原文

该职位由雇主以英文发布,暂无中文版本,下面完整显示英文原文。 查看官方职位页面.

职位描述

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.

岗位职责

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. • 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

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