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Field Engineer, Life Sciences

Remote (Remote)fulltimemidAdded today

About this role

Cursor is hiring a Field Engineer to serve as the technical liaison between the company and enterprise Life Sciences customers evaluating their AI-powered coding platform. You'll own technical discovery, proof-of-concepts, and customer expansion while partnering with Sales, Product, and Engineering to demonstrate value and drive adoption in research-heavy, regulated environments.

What you'll do

  • Lead technical discovery, product demonstrations, and proofs of concept with prospective Life Sciences customers
  • Build relationships across engineering, scientific computing, R&D, and IT leadership at target accounts
  • Scope solutions and validate customer use cases in complex, research-heavy, and regulated environments
  • Deliver technical presentations, workshops, and whiteboard sessions to scientific and commercial audiences
  • Act as internal customer advocate with Product and Engineering teams to influence roadmap
  • Coordinate handoff to post-sales teams and ensure successful customer onboarding

What they're looking for

  • Technical fluency in software development, AI tooling, and developer workflows
  • Strong presentation and communication skills with executive presence
  • Understanding of software development lifecycle and business impact analysis
  • Deal partnership and stakeholder navigation across complex organizations
  • Hands-on experience with coding environments and technical troubleshooting
  • Knowledge of Life Sciences, biotech, or regulated industry workflows
  • Ability to translate technical concepts for non-technical audiences
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Cursor

Cursor builds an AI-driven code editor used by millions of developers to transform how software is built. The company is hiring for infrastructure engineers, ML systems specialists, enterprise platform builders, security engineers, and customer success roles focused on driving adoption within large organizations.

Website
cursor.com
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Likely interview questions

  • Walk us through a time you successfully navigated a complex stakeholder map to close or expand a technical deal—what was your approach?
  • How would you explain the value of agentic AI coding to a Chief Scientific Officer versus a VP of Engineering, and how would your messaging differ?