Senior Sales Engineer, AI Accounts

Bazeta; United States; Remote; USD 149,000 - 198,000; Full time

Benefits offered by this job

Best-in-breed onboarding

Generous global benefits

Stock options / RSUs

Employee stock purchase plan

Job summary

Datadog seeks a Senior Sales Engineer for AI Accounts in the United States. You will own the technical relationship with leading AI labs, working closely with customer engineering teams to scale models and deploy observability at real scale.

The role emphasizes hands-on AI/ML infrastructure, cloud expertise, and the ability to operate in flat, fast-moving teams. You’ll collaborate with account executives to identify new workloads, run production POVs, and deliver measurable value while shaping

Qualifications

• 7+ years in Sales Engineering, Solutions Engineering, or equivalent
• Hands-on depth in AI/ML infrastructure stacks (training, inference, observability)
• Experience with flat organizations and ability to influence ICs and founders
• Willing to travel for multi-day onsite engagements and conferences

Responsibilities

• Own the technical relationship across AI labs and production workloads
• Drive expansion with AEs by identifying new workloads and teams
• Lead discovery in engineering-led organizations without formal scoping calls
• Deliver POVs in production environments and prove value against success criteria
• Act as an extension of the customer’s engineering/observability team
• Communicate via Slack and asynchronous updates with high responsiveness
• Provide early input from product/engineering and close the feedback loop
• Create reusable assets and patterns to accelerate onboarding for future labs

Skills

Sales engineering

AI/ML tooling

Public cloud

Independent contributor

Tools

Kubernetes

APM

Distributed tracing

Job description

# Senior Sales Engineer, AI AccountsUnited States35 minutes agoID 4369707Price on request## DetailsEmployment type: Full-timeRemote: YesCompany: Datadog## DescriptionAs 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. You’ll own the technical relationship end to end, work shoulder-to-shoulder with customer engineering teams in production, and help define how Datadog shows up for a cohort whose buying behavior looks nothing like traditional enterprise. This team was piloted earlier this year and is now being formalized. You’ll be joining early enough to shape the playbook rather than inherit one. What you’ll do • 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 Who you are • 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 • Willing to travel for multi-day onsites with customer engineering teams and for industry and research conferences Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and growth • 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. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate’s skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $149,000-$198,000 USD... Source: Jobspresso (https://jobspresso.co/job/senior-sales-engineer-ai-accounts/)This listing comes from a partner feed. Apply on the source website.