Drimva

Datadog

Director, Enterprise Sales Engineering - US Central

$180K–$240K

Illinois, USA, Remote +7 · Remote · Director · Full-time · Posted Aug 18, 2026

Location
Illinois, USA, Remote
Michigan, USA, Remote
Texas, USA, Remote
Austin, Texas, United States
Chicago, Illinois, United States
Dallas, Texas, United States
Detroit, Michigan, United States
Remote - Texas
Experience
5+ years leading frontline SE leaders; 10+ years in Sales Engineering, Solutions Engineering, or a technical customer-facing role.

About the job

Leads regional enterprise Sales Engineering teams and operations, partnering with Sales leadership to improve deal execution, customer outcomes, and team performance.

What you'll do

  • Own regional execution for strategic opportunities and oversee technical sales cycles, evaluations, and deal progression.
  • Lead, coach, hire, and develop Sales Engineering leaders and teams; manage regional resources, KPIs, and operational effectiveness.
  • Partner with Sales and cross-functional leaders on regional strategy, planning, go-to-market execution, and customer experience.

What they ask for

  • 5+ years leading frontline Sales Engineering leaders in a customer-facing technical organization.
  • 10+ years in Sales Engineering, Solutions Engineering, or another technical customer-facing role.
  • Demonstrated success leading solution engineering teams and driving technical sales success at scale.
  • Strong leadership, communication, stakeholder management, and cross-functional influencing skills.

Nice to have

  • Background in public cloud (AWS, Azure, GCP), Kubernetes, APM/tracing, security, developer experience, observability, or adjacent SaaS technology.
  • Knowledge of MEDDICC, Command of Message (CoM), or similar sales methodologies.

Pay

$180,000 — $240,000 USD yearly salary (base salary)

Tools

AWS, Azure, GCP, Kubernetes, APM/tracing, MEDDICC, Command of Message (CoM)

AI focus

Develop repeatable methods to show customers measurable outcomes from observability and security solutions in a world increasingly shaped by Agentic AI; demonstrate capability using and scaling AI tooling.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)