Forward Deployed Engineer - India

Cursor
Bengaluru +2 more
On-site

Who this role is best for

Aimed at experienced engineers who can lead customer-facing AI workflows and own end-to-end system reliability, with a focus on Python/TypeScript and direct collaboration with customer teams in India.

Best fit for

  • Candidates with production experience in AI-native workflows and a track record of debugging model failures in real-world systems
    — “built and owned AI-native workflows in production, not just prototypes, and have debugged real-world model failures”
  • Engineers who can lead discovery conversations and translate ambiguous problems into clear, actionable outcomes
    — “thrive in ambiguity and can turn fuzzy problems into clear scopes and shipped systems”
  • Individuals comfortable with rapid prototyping and iterative development, with a focus on shipping fast and reliable systems
    — “Ship a fast first version in days, then harden it into something reliable over weeks”

Things to consider

  • Requires a candidate who can handle production reliability and is accountable for customer outcomes
    — “comfortable leading discovery conversations and being accountable for customer outcomes”
  • Candidates must be able to work across frontend, backend, infrastructure, and prompt engineering domains
    — “You build end-to-end - if it needs frontend, backend, infra, or prompt iteration, you’ll own it”

How to stand out

  • Highlight experience in end-to-end system ownership, including monitoring and iteration based on real usage
    — “own production quality: tracing, evals, metrics, debugging model behavior”
  • Emphasize your ability to design and implement practical AI workflows for real-world software engineering challenges
    — “design a practical solution, and own it end-to-end”
  • Showcase your background in Python and TypeScript/JavaScript, and your ability to ramp up on new tech stacks quickly
    — “You’re strong in Python and TypeScript/JavaScript and can ramp quickly on new stacks”
Pace · Fast PacedCollaboration · MediumAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • improving customer workflows
  • building production-grade systems
  • reusable patterns
Typical background
AI-native workflowsproduction reliability

Skills & requirements

Required

Ai-native WorkflowsProduction ReliabilityCustomer DiscoverySystem DesignCode Ownership

Preferred

PythonTypescript/javascript

Stack & domain

PythonTypeScriptJavaScriptLeadershipProblem-solvingAi-native WorkflowsProduction Reliability

About the role

Original posting from Cursor via Ashby

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. This role will be based in all 3 cities: Bengaluru, New Delhi and Mumbai.

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

Source: Cursor careers (Ashby)

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