[Remote] Senior Sales Engineer - AI Accounts

Note: The job is a remote job and is open to candidates in USA. Datadog is hiring a Senior Sales Engineer for its AI Accounts team to lead technical relationships with a portfolio of AI labs. The role partners with customer engineers and account executives to demonstrate Datadog's value in production, drive account expansion, and share customer feedback with product and engineering teams.

Responsibilities

• 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 platforms), and become the person their engineers call first
• 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 becomes a ticket
• 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 rely on
• 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 through the operational realities of doing that safely
• 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 which to break
• Work Slack-native and asynchronously as the default, with the responsiveness and proactive posture these accounts expect: flag new features, bugs, and incidents before they ask
• Bring product and engineering in early and often, and close the loop fast — leadership needs near-real-time signal from this cohort, and you'll be a primary source of it
• Deliver technical narratives that land with engineers who pay for capability first and rationalize cost second - savings is a downstream conversation, not an opener
• Build reusable assets and patterns from each engagement so the next lab onboards faster than the last
• Keep activity, deal progress, and customer context documented and current

Skills

• 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 platform team is equally welcome
• Hands-on depth in the AI/ML infrastructure stack: GPU fleet management, distributed training, inference serving, model and agent evaluation, and the observability challenges specific to each
• 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
• Thrive in ambiguity and unpredictable growth - scoping, timelines, and account trajectories will change under you, repeatedly
• Actively coachable. The strongest people we hire ask for a dry run, take the feedback, and visibly change what they do on the next attempt
• Persistent about access. Getting time with people operating at this pace is hard, and you treat that as an interesting problem rather than a demoralizing one
• Demonstrated capability using AI tooling in your own workflow and scaling it to others — credibility with this cohort depends on being a practitioner, not an observer
• Experience mentoring peers or contributing to team enablement

Benefits

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks
• Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
• Equity package
• May include variable compensation
• Healthcare, dental, parental planning, and mental health benefits
• A 401(k) plan and match
• Paid time off
• Fitness reimbursements
• A discounted employee stock purchase plan

Company Overview

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