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Senior Sales Engineer - FED

Datadog

Remote (US) · $149k–$198k a year · Posted August 21, 2026

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Pay compared with the market

This listing pays about $173,500 a year. Across 71 open senior sales engineer listings that state pay, the middle half runs $173,000 to $209,500 and the median is $188,000. That is inside the middle half of those listings, 8% below the median.

Listed pay is what employers advertise, not what people are paid.

Senior Sales Engineer salaries by state · Check your own pay

How AI is used in this kind of work

Among sales engineers, AI is already used for a large share of the tasks. Measured exposure for sales engineers: 32% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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Skills this job asks for

Say which you have and which you want to build. We use it to match you to jobs like this one.

  • Onboarding
  • AWS
  • Azure
  • Kubernetes
  • GCP

About the job

As a Senior Federal Enterprise Sales Engineer, you'll be a trusted technical advisor to federal customers and Sales. You'll help agencies connect mission priorities, modernization programs, and operational risks to technical solutions. You'll lead complex evaluations in regulated environments and shape the technical strategy for opportunities across hybrid, on-premises, and public cloud environments.

You'll own the technical evaluation experience from discovery through decision. You'll influence agency stakeholders and coordinate with systems integrators, resellers, and technology partners. You'll help customers and account teams address security, compliance, acquisition, and deployment requirements while setting accurate expectations about capabilities, prerequisites, and solution design.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

Own the sales process in partnership with Account Executives by leading and shaping the technical strategy across opportunities from PG to Closed Won

Lead discovery throughout the sales cycle to uncover technical challenges, mission and business goals, decision criteria, and success measures, then shape solution strategy and measurable business outcomes within applicable security, compliance, acquisition, and deployment requirements

Deliver engaging product demos, technical presentations, and solution workshops that connect platform capabilities to customer outcomes for diverse stakeholder audiences including executives

Own the technical strategy and response quality for RFIs, RFPs, proposal responses, and architecture reviews. Coordinate internal teams and partners to keep claims, dependencies, and deployment assumptions accurate and appropriately scoped

Full ownership of the technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining competitive success criteria, aligning agency and partner stakeholders, building a project plan with clear timelines and decision points, surfacing risks and dependencies, and holding all participants accountable to the process

Identify, develop, and leverage technical champions across multi-stakeholder environments, building a structured plan for champion cultivation and influence throughout the deal cycle

Contribute to product direction through active participation in structured product and engineering field feedback sessions, bringing field insights and customer patterns to PM and engineering teams

Drive operational excellence by ensuring activity, deal progress, and customer interactions are accurately documented and up to date in related systems

Identify and proactively resolve technical and organizational blockers by collaborating across Product, Support, and GTM teams before customers are impacted

Contribute to team enablement by mentoring peers, sharing best practices, and creating reusable assets that scale knowledge across the region

Who You Are:

7+ years of experience in Sales Engineering, Solutions Engineering, or a technical customer-facing role within an enterprise environment

Experience leading complex federal sales cycles and technical evaluations involving agency stakeholders, systems integrators, resellers, and technology partners

Skilled at influencing and adapting communication across technical, business, and executive audiences

Advanced background in hybrid environments and public cloud (AWS, Azure, GCP), Kubernetes, APM/tracing, security, developer experience, and observability

Strong communication skills, with the ability to explain technical concepts to a range of audiences

A consultative, outcome-oriented approach to problem-solving and customer engagement

Demonstrated ability to manage multiple opportunities and priorities in a fast-paced environment

Experience mentoring peers or contributing to team enablement initiatives

Demonstrated capability of utilizing AI tooling and scaling it

Growth mindset of embracing change and being curious

Willingness to travel as needed to support customer engagements

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.

#LI-Hybrid

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

About Datadog:

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .