Field Engineer, Life Sciences

FIELD ENGINEER, LIFE SCIENCES

We're hiring Field Engineers to partner with prospective and strategic enterprise customers across Life Sciences. You'll be the technical face of SpaceXSI for the scientific organizations shortening the path from lab to market: helping programmers, researchers, scientists, and commercial teams evaluate SpaceXSI, running proofs of concept, and making sure they see the full value of agentic coding in their real workflows. You'll work hand-in-hand with Sales, Product, and Engineering as a deal partner, not a demo resource. You'll scope solutions, demonstrate capabilities, and act as a trusted advisor across the stakeholders that matter in Life Sciences: engineering leaders, architects, developers, scientific computing, R&D, and commercial IT.

RESPONSIBILITIES

• Partner with AEs to own technical discovery, demos, POCs, and expansion with technical validation; build trusted relationships across engineering, scientific computing, R&D, and commercial IT
• Go deep in research-heavy and regulated environments: developer workflows, AI tooling, complex setups
• Help customers connect SpaceXSI to outcomes that matter: 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 to hand off cleanly and set up onboarding for success
• Stay sharp on SpaceXSI and the competitive landscape so you can go toe to toe in the room

BASIC

QUALIFICATIONS

• Experience in Field Engineering, Solutions Architecture, Pre-Sales, or Consulting for enterprise software

PREFERRED SKILLS AND

EXPERIENCE

• Strong communication skills and executive presence, equally comfortable coding alongside developers or presenting to CTOs and scientific leaders
• Understand the SDLC and can connect technical detail to business and scientific impact
• Hands-on technical fluency (not full-time eng): workflows, AI tooling, complex environments
• Deal-partner instinct: co-own with AEs and navigate complex stakeholder maps
• Customer-obsessed and can translate technical detail into why it matters for the organization
• Excited by Life Sciences and comfortable learning regulated / research-heavy orgs fast
• Motivated by putting AI in the hands of people accelerating benefits for humanity

ADDITIONAL

REQUIREMENTS

• Remote role (United States)

COMPENSATION AND BENEFITS

The expected annual base salary range for this role is $164,500 - $224,000. This role is also eligible for sales commissions or bonuses, with an annual on-target earnings (OTE) range of $235,000 - $320,000. OTE includes base salary plus target incentive compensation, assuming 100% achievement of applicable performance targets. Actual incentive earnings depend on performance and the terms of the applicable plan.