Sales Engineer – Scientific Instrumentation & Remote Sensing
$95,000–$120,000 year
On-siteBolton, Massachusetts, United States
Job Summary
Manage sales opportunities for Headwall's remote sensing and spectral imaging portfolio, including hyperspectral systems and scientific instrumentation. Achieve assigned quotas and revenue objectives by identifying, qualifying, and developing new business through consultative selling, inbound inquiries, and outbound prospecting at conferences and trade shows. Prepare quotations, proposals, and technical presentations to address customer requirements while conducting demonstrations for scientific and engineering audiences. Collaborate with engineering, applications, and marketing teams to develop solutions, support channel partners, and maintain CRM records for pipelines and forecasts. Monitor industry trends and competitive activity to drive growth in research, industrial, defense, and environmental markets.
Required Qualifications
- 3+ years experience in Instrumentation sales or applications/technical experience in analytical instrumentation, remote sensing, spectroscopy, spectral imaging
- Engineering of scientific degree (e.g. engineering, Physics, Chemistry, Environmental Science, Geology, Remote Sensing)
- Demonstrated experience working directly with customers to understand technical requirements and recommend technical solutions
- Excellent written, verbal, and presentation communication skills
- Ability to explain complex technical concepts to both technical and non-technical audiences
- Experience using CRM systems or other customer relationship management tools
- Willingness to travel up to 30%
- U.S. Citizenship or U.S. Permanent Resident status required
Desired Qualifications
- Experience selling or supporting hyperspectral imaging systems, remote sensing technologies, optical instrumentation, spectroscopy, or scientific imaging systems
- Experience with VIS, NIR, SWIR, Raman, fluorescence, machine vision, spectroscopy, or analytical instrumentation
- Knowledge of optical sensing, environmental monitoring, geospatial technologies, UAV-based sensing systems, or machine vision
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