Senior Sales Engineer - AI Accounts

Job summary

Responsibilities

As a Senior Sales Engineer on Datadog's AI Accounts team, you'll serve as the technical lead for a small portfolio of the world's leading AI labs — accounts that today represent a meaningful share of Datadog's revenue and are growing faster than any cohort in our business.

• Own the technical relationship across a small portfolio of AI labs, go deep on how each customer trains, serves, and scales their models (and/or the downstream products and…
• Partner with your AE to drive expansion inside accounts that grow unpredictably and fast: identify new workloads and teams as they spin up, and get in front of them before a need…
• Lead discovery inside flat, engineering-led organizations where influence sits with individual contributors rather than titles, and where there are no formal scoping calls to…
• Run full-scale POVs in production rather than controlled pilots: instrument real workloads at real scale, prove value against the customer's own success criteria, and work…
• Act as an extension of the customer’s engineering/observability team rather than an external operator - this requires judgment about which standard gates serve the customer and…

What they're looking for

• 7+ years in Sales Engineering, Solutions Engineering, or a comparable technical customer-facing role; equivalent depth gained inside an AI lab, AI infrastructure company, or ML…
• Hands-on depth in the AI/ML infrastructure stack: GPU fleet management, distributed training, inference serving, model and agent evaluation, and the observability challenges…
• Strong foundation in public cloud (AWS, Azure, GCP), Kubernetes, APM and distributed tracing, and modern, agentic observability practice and usage patterns (i.e. MCP)
• Comfortable in flat organizations - able to engage an IC and a founder in the same week and calibrate to both without reaching for hierarchy
• Biased toward doing: you'd rather solve a customer's problem and explain the shortcut afterward than ask permission first, and you have the judgment to know where that line sits

Tech stack

• AWS
• Azure
• GCP
• Kubernetes