AI-Driven Enterprise Pre-Sales Engineer

omnea

United States

Sur place

USD 120 000 - 160 000

Plein temps

Il y a 4 jours
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Résumé du poste

Omnea is seeking an AI Sales Engineer to join our rapidly growing team. You will own technical discovery sessions, build AI-driven demos and PoCs, and address security questions to support enterprise pre-sales.

You’ll coordinate with Sales, Product, and Customer teams to translate field needs into actionable product feedback and robust technical demonstrations. The role requires 3–7 years in sales/solutions engineering within B2B SaaS, plus experience with ERP, CLMs, or GRC platforms.

Qualifications

  • 3-7 years in sales engineering, solutions engineering, or technical consulting, ideally in B2B SaaS.
  • Experience in modern finance or procurement stack—ERP, CLMs, GRC.
  • Comfort directing AI tools to produce first-draft demos, configurations, and RFP responses, with the judgment to catch errors before customers see them.

Responsabilités

  • Own technical discovery and demos: run discovery sessions, direct AI to build first-draft demos tailored to findings, adjust for workflow quirks and compliance.
  • Drive PoCs end to end: scope and own proofs-of-concept with Product and Customer teams, configure environments quickly with AI, judge PoC merit.
  • Answer hard technical and security questions: direct AI to draft responses to RFPs/RFIs/security questionnaires and validate against requirements.
  • Be the bridge between Sales, Product, and Customer: translate field feedback into product input and hand off to Customer team.
  • Build the pre-sales toolkit: maintain demo environments, docs, and RFP libraries, refresh with AI as product evolves.

Description du poste

Omnea is seeking an AI Sales Engineer to join our rapidly growing team. You will own technical discovery sessions, build AI-driven demos and PoCs, and address security questions to support enterprise pre-sales.

You’ll coordinate with Sales, Product, and Customer teams to translate field needs into actionable product feedback and robust technical demonstrations. The role requires 3–7 years in sales/solutions engineering within B2B SaaS, plus experience with ERP, CLMs, or GRC platforms.

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