Cursor Logo

Cursor

Forward Deployed Engineer

Reposted One Month Ago
In-Office or Remote
Hiring Remotely in San Francisco, CA, USA
Senior level
In-Office or Remote
Hiring Remotely in San Francisco, CA, USA
Senior level
Embed with customer engineering teams to discover bottlenecks, design and ship Cursor-powered AI-native workflows end-to-end, ensure production reliability, monitor and iterate, and push reusable patterns back to the core product.
The summary above was generated by AI

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 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 have 5+ years of experience with software development and coding in Python, Javascript/Typescript

  • Experience includes 2+ years in a customer-facing role, leading discovery conversations and being accountable for customer outcomes

  • 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 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)

Cursor San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

3 Days Ago
Remote or Hybrid
165K-200K Annually
Junior
165K-200K Annually
Junior
Artificial Intelligence • Machine Learning
Build and deploy production-grade AI and machine learning solutions within regulated customer environments. Develop specialized AI workflows, model deployment and monitoring systems, cloud and data integrations, applications, CI/CD extensions, and secure platform solutions. Advise data science teams, lead customer engagements, troubleshoot infrastructure, create reusable delivery materials, and provide product feedback to engineering, support, and product teams.
Top Skills: Agent FrameworksAmazon EksAWSAzureAzure AksBashCi/CdDockerGenerative AiGoogle Cloud PlatformGoogle GkeGpu WorkloadsKubernetesMachine LearningMlopsModel DeploymentModel MonitoringPythonRSQL
18 Days Ago
Remote or Hybrid
United States
126K-213K Annually
Senior level
126K-213K Annually
Senior level
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Leads technical customer engagements for strategic enterprise accounts, combining solution engineering, software implementation, consulting, and sales support. Responsibilities include discovering requirements, designing and documenting SailPoint solutions, conducting foundational implementations and proof-of-value engagements, educating customers on architecture and best practices, and developing AI-enabled demonstrations and agentic solutions. The role collaborates across sales, product, professional services, partners, and customer success, and may require up to 15% travel.
Top Skills: Active DirectoryAgentic AiAngularApplication ServersArtificial IntelligenceAWSAzureCassandraClaude CodeCSSCursorDatabasesGCPGithub CopilotGoogle AntigravityHTMLJavaJavaScriptJSONKiroLdapLinuxMachine LearningMicrosoft Sql ServerMongoDBMySQLNode.jsOne IdentityOpenai CodexOracleOracle Identity ManagerPeoplesoftPowershellReactRedisRsa AveksaSaaSSailpointSAPSaviyntServicenowSoapSpmlSpring BootSpring MvcSQLSybaseTypescriptUnixVirtualizationVueWeb ServicesWindowsXML
19 Days Ago
Remote or Hybrid
150K-165K Annually
Entry level
150K-165K Annually
Entry level
Artificial Intelligence • Machine Learning
Develop custom AI solutions for customers using the Domino platform. Partner with experienced forward-deployed engineers to enhance legacy workflows, write code, design solutions, and deliver data science, MLOps, and software engineering outcomes in high-impact industries.
Top Skills: Domino PlatformMlopsPythonR

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account