AI Solutions Sales Engineer

Merrimack, NH USA•Merrimack, NH

About The Position

CAMP Systems is seeking a Sales Solutions Engineer for CAMP Aviate, which combines aviation ERP solutions, AI products, workflow applications, and integration capabilities. The role focuses on turning customers’ operational data and problems into credible demonstrations, practical pilots, and clear technical paths forward. It combines hands-on data work with technical discovery and live customer engagement. The engineer will work with the AI commercial leader, customer-facing teams, Product, and Engineering. They will help customers understand and evaluate AI Solutions—including AI Operations Manager, AI Technician, and AI Analyst—which can work with CAMP ERP products or complement other enterprise systems. The role requires accurately representing current product capabilities and determining when configuration, integration, or product development may be needed. Travel for important customer work may be required.

Requirements

  • At least four years in Sales Solutions Engineering, technical consulting, solutions architecture, or a similar customer-facing technical role.
  • Hands-on experience with SQL, APIs, data mapping, validation, transformation, and integration troubleshooting.
  • Ability to use Python or comparable scripting tools.
  • Experience building or adapting demonstrations and proofs of concept with customer data.
  • Working knowledge of AI, analytics, and LLM-based applications, with sound judgment about technical limits.
  • Strong discovery, problem-solving, live demonstration, and communication skills across technical and business audiences.
  • Comfort with evolving products.
  • Willingness to travel for important customer work.

Responsibilities

  • Build and deliver customer-specific demonstrations using operational data, workflows, and use cases.
  • Inspect, map, validate, transform, and troubleshoot structured data using SQL, APIs, scripting, and analytics tools.
  • Lead technical discovery on customer systems, data sources, integrations, security needs, and desired outcomes.
  • Scope pilots with clear technical requirements, assumptions, dependencies, and success criteria.
  • Explain current capability accurately and identify where configuration, integration, or product development is needed.
  • Handle routine technical presales work and engage Product or Engineering for deeper architecture or feasibility questions.
  • Turn successful demonstrations, data mappings, and integration approaches into reusable playbooks.
  • Help account teams present AI Solutions effectively to executives, operational teams, and IT stakeholders.
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