# Field Engineer, Life Sciences

**Company:** [Cursor](https://hotfix.jobs/companies/cursor)
**Location:** Remote
**Role:** Sales Engineering
**Skills:** software development life cycle, AI Tools, technical discovery, proofs of concept, Solutions Architecture, Pre-Sales, technical presentations, whiteboarding, workshops, Enterprise Software
**Posted:** 2026-08-04

> 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.

## Job Description

## 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.

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