Quick overview
Job description
What you'll do:
- Serve as the technical lead alongside Account Executives across the sales cycle
- Run technical discovery with prospects to understand their parts, inspection workflows, quality challenges, and success criteria.
- Design scan evaluations and proof-of-concepts on customer parts, and turn results into clear, decision-ready findings.
- Assist in the creation of the business case, including ROI models and executive-ready reports that tie Lumafield’s capabilities to measurable customer outcomes.
- Recommend the right solution across Neptune, Triton, and Voyager based on part geometry, materials, throughput needs, and deployment environment.
- Deliver demos and technical presentations to audiences ranging from quality engineers to plant managers and executives.
- Scope solution requirements (measurements, integrations, facility, IT/security) and hand off cleanly to Customer Success.
- Feed structured field insights back to Product and Engineering on capability gaps, competitive losses, and emerging use cases.
- Create reusable technical collateral, such as application notes, case studies, and demo datasets, that helps the sales team scale.
About you:
- Engineering background with hands-on exposure to quality, inspection, or product development.
- 3-5 years in a customer-facing technical role, such as solutions architect, sales engineer, or applications engineer.
- Can explain complex technology simply and credibly to both engineers and executives.
- Comfortable owning the technical win in complex, multi-stakeholder B2B sales cycles.
- Commercially minded; you can turn technical results into a defensible ROI story.
- Organized enough to run multiple evaluations in parallel without dropping details.
- Decisive with incomplete information, and known for following through.
- Willing to travel to customer sites 30% of the time
Bonus:
- Experience with industrial CT, metrology, or NDT (X-ray, ultrasonic, CMM).
- Domain knowledge in automotive, aerospace, electronics, batteries, medical devices, or consumer products.
- Experience selling capital equipment combined with software or SaaS.
- Background in GD&T, failure analysis, or production quality systems (SPC, PPAP, FAI).
- Scripting or data skills (Python, SQL) for building custom analyses or tooling.
- Experience supporting production-line or international deployments.
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