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CursorCursorUnited States

Field Engineer, Life Sciences

Partners with enterprise Life Sciences customers and Account Executives to validate and deploy AI coding workflows through discovery, demonstrations, proofs of concept, and workshops. Requires strong technical fluency, customer-facing communication, and experience in field engineering, solutions architecture, pre-sales, or consulting.

Salary not listed
RemoteSales Engineering

About the role

Responsibilities

  • Partner with Account Executives to own technical discovery, demonstrations, proofs of concept, and expansion with technical validation.
  • Build trusted relationships across engineering, scientific computing, R&D, and commercial IT.
  • Work in research-heavy and regulated environments involving developer workflows, AI tooling, and complex setups.
  • Help customers connect Cursor to outcomes such as faster R&D cycles and a shorter path from lab to market.
  • Deliver technical presentations, whiteboards, and workshops for scientific and commercial audiences.
  • Act as the customer's technical advocate internally with Product and Engineering.
  • Partner with post-sales teams to ensure a clean handoff and successful onboarding.
  • Maintain strong knowledge of Cursor and the competitive landscape.

Requirements

  • Strong communication skills and executive presence; comfortable coding alongside developers and presenting to CTOs and scientific leaders.
  • Understanding of the software development life cycle and the ability to connect technical detail to business and scientific impact.
  • Hands-on technical fluency with workflows, AI tooling, and complex environments.
  • Deal-partner instincts and the ability to navigate complex stakeholder maps.
  • Customer-focused approach with the ability to translate technical detail into organizational value.
  • Experience in Field Engineering, Solutions Architecture, Pre-Sales, or Consulting.
  • Interest in Life Sciences and comfort learning regulated, research-heavy organizations quickly.
  • Motivation to put AI in the hands of people accelerating benefits for humanity.

Skills

software development life cycleAI Toolstechnical discoveryproofs of conceptSolutions ArchitecturePre-Salestechnical presentationswhiteboardingworkshopsEnterprise Software
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