About The Position

The Sales Engineer (SE) is crucial for building technical proof and trust with enterprise buyers of AI/cyber solutions. While Account Executives (AEs) build relationships and align on business value, the SE steps in when prospects have deep technical questions about how the solution works in their environment and potential risks. The SE's role is to provide credible technical answers, enabling the swift creation of winnable evaluations (POCs) and preventing deals from stalling in technical rabbit holes. AEs sell the vision, and SEs prove its reality, with a specific emphasis on proving safety in the cybersecurity domain, which is a higher bar than a typical SaaS demo.

Requirements

  • 3+ years of experience in a sales engineering, solutions engineering, or technical pre-sales role, ideally in cybersecurity, AI/ML, or enterprise infrastructure.
  • Solid understanding of security fundamentals: Cloud Security, SecOps, SIEM/SOAR, EDR, network security, cloud security, or threat detection.
  • Comfortable presenting to and fielding tough questions from technical buyers and executives (security architects, CISOs, engineering leads).
  • Hands-on technical ability: can read/write basic scripts (Python, Bash), understand APIs, and speak credibly about cloud architecture (AWS/GCP/Azure).
  • Strong communicator who can translate technical depth into business value, and vice versa.
  • Experience scoping and running POCs with clear, mutually agreed success criteria.
  • Comfortable with a fast-paced, quota-carrying-adjacent environment where your work directly affects revenue.

Nice To Haves

  • Experience selling or supporting AI/LLM-based products, and ability to speak credibly about model behavior, hallucination risk, and evaluation.
  • Prior experience at a cybersecurity vendor (SIEM, EDR, XDR, SOAR, or similar).
  • Experience with demo environment tooling and infrastructure-as-code (Terraform, etc.).

Responsibilities

  • Partner with Account Executives throughout the sales cycle: discovery, technical evaluation, POC, and close.
  • Run tailored product demos that map directly to a prospect's environment, threat model, and use cases.
  • Design, scope, and run proofs of concept - defining success criteria with the customer and making sure we hit them.
  • Answer technical, architecture, and security questions from prospects, including deep dives on deployment models, data handling, integrations, and model behavior.
  • Respond to RFPs/RFIs and complete security questionnaires in partnership with Security and Legal.
  • Build and maintain demo environments, sample datasets, and reusable POC assets.
  • Act as a trusted technical advisor to prospects - not just presenting features, but helping them think through their own security architecture.
  • Relay competitive intelligence, objections, and feature gaps back to Product and Marketing.
  • Support technical onboarding handoff to the Forward Deployed / Customer Success team post-sale.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service