Drimva

Datadog

Senior Sales Engineer - AI Accounts

$149K–$198K

California, USA, Remote +4 · Remote · Senior · Full-time · Posted Sep 29, 2026

Location
California, USA, Remote
Illinois, USA, Remote
Massachusetts, USA, Remote
New York, USA, Remote
California, United States
Experience
7+ years, or equivalent depth gained inside an AI lab, AI infrastructure company, or ML platform team.

About the job

Leads technical relationships with AI lab customers, helping them deploy and scale Datadog observability in production and expand usage across their organizations.

What you'll do

  • Own technical relationships and identify new workloads and teams across a portfolio of AI labs.
  • Lead production-scale proofs of value, working with customer engineering teams to instrument workloads and demonstrate value against customer criteria.
  • Partner with account executives, product, and engineering to support expansion, communicate customer feedback, and create reusable onboarding assets.

What they ask for

  • 7+ years in Sales Engineering, Solutions Engineering, or a comparable technical customer-facing role; equivalent depth inside an AI lab, AI infrastructure company, or ML platform team is also welcome.
  • Hands-on depth in AI/ML infrastructure, including GPU fleet management, distributed training, inference serving, model and agent evaluation, and related observability.
  • Strong foundation in public cloud (AWS, Azure, GCP), Kubernetes, APM, distributed tracing, and agentic observability practices such as MCP.
  • Demonstrated capability using AI tooling in personal workflows and scaling its use to others.

Nice to have

  • Experience mentoring peers or contributing to team enablement.
  • Willingness to travel for multi-day customer onsites and industry and research conferences.

Pay

$149,000–$198,000 USD (base salary)

Tools

AWS, Azure, GCP, Kubernetes, APM, MCP, GPU

AI focus

Supports AI lab customers training, serving, and scaling models; applies AI/ML infrastructure and observability expertise and uses AI tooling in personal workflows and to scale it to others.

Model-written summary · the original posting is authoritative

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