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Senior Sales Engineer – Majors (Central)

AI Summary
Datadog is hiring a Senior Enterprise Sales Engineer to lead complex technical sales cycles for major enterprise accounts in the Central US region. The role partners closely with Account Executives, Customer Success Managers, and Technical Account Managers to shape technical strategy, manage proof-of-value evaluations, and address adoption or consumption challenges. Candidates need deep expertise in cloud platforms, Kubernetes, observability, APM, security, and executive-level technical communication. The position also includes champion development, competitive displacement, product feedback, CRM discipline, and peer mentoring. This is a remote US role supporting enterprise customer engagements, with travel as needed.
Remote from
USA
Salary
USD 149k–198k / yr
Department
Sales
Employment
Full Time
Experience
Director
Published
Apply before
14 Dec 2026
Listing views
17
Application actions
1
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Opportunity details

About this role.

As a Senior Enterprise Sales Engineer, you’ll serve as a trusted technical advisor and strategic partner to both customers and Sales. You’ll lead complex technical evaluations, align solutions to business outcomes, and help shape deal strategy in high-impact opportunities.

This role goes beyond delivering demos – you’ll own the evaluation experience end-to-end, influence key stakeholders, and help drive successful outcomes across enterprise accounts.

What You’ll Do:

  • Own the technical strategy across your accounts as a peer to the Account Executive – a standing weekly 1:1 with each AE you support, and a standing weekly account team call with the full ecosystem where you carry POV status, technical blockers, and the explanation behind any usage movement.
  • Own the technical explanation behind consumption movement in your accounts. Work with the CSM and TAM to separate legitimate growth from misconfiguration, make sure legitimate growth gets quantified before renewal, and flag forward-looking usage the customer has signalled rather than explaining it backwards a month later.
  • Lead discovery in every meeting, not only in discovery meetings – including meetings where you were invited to present. Leave each meeting knowing something about their business you did not know going in.
  • Deliver engaging product demos, technical presentations, solution workshops, etc. that connect platform capabilities to customer outcomes for diverse stakeholder audiences including executives
  • Full ownership of the technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining competitive success criteria, building a project plan with clear timelines, 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 and beyond
  • 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
  • Skilled at influencing and adapting communication across technical, business, and executive audiences
  • Advanced background in public cloud (AWS, Azure, GCP), Kubernetes, APM/tracing, security, developer experience, observability
  • Strong communication skills, with the ability to explain technical concepts to a range of audiences
  • Experience displacing or consolidating away from an entrenched incumbent inside an account where that incumbent has internal advocates
  • A consultative, outcome – oriented approach to problem-solving and customer engagement
  • Demonstrated depth over breadth. You have worked a very small number of very large organisations over long horizons, and can describe how your understanding of one account compounded across quarters.
  • 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.

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.

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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior, highly autonomous enterprise pre-sales role involving complex multi-stakeholder evaluations and strategic account ownership. Success requires both substantial technical depth and the ability to influence executives, technical teams, and internal go-to-market partners.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$173,500
US market range (per year)$150k–$210k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. Datadog explicitly lists a yearly base salary range of $149,000 to $198,000 USD, with a midpoint of $173,500. A reasonable estimated US market base-salary range for a senior enterprise Sales Engineer with cloud observability expertise is approximately $150,000 to $210,000 per year, excluding variable compensation, equity, and benefits.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How do you structure a proof-of-value evaluation for a large enterprise account?

I begin by aligning on the customer’s business problem, technical use cases, stakeholders, and measurable success criteria. I document scope, responsibilities, timelines, required integrations, and decision milestones in a shared project plan. Throughout the evaluation, I run regular checkpoints, remove blockers quickly, and tie technical results back to agreed business outcomes.

Describe how you would explain an observability platform to both an engineering leader and a business executive.

For engineering leaders, I would focus on telemetry coverage, troubleshooting workflows, integrations, reliability outcomes, and implementation details. For executives, I would emphasize reduced incident impact, faster delivery, operational efficiency, risk reduction, and the financial value of improved reliability. In both cases, I tailor the narrative to the audience’s priorities while maintaining a consistent value story.

How do you identify and develop technical champions during an enterprise sales cycle?

I look for individuals who have influence, a clear pain point, credibility with peers, and a personal reason to drive change. I help them build internal confidence through tailored enablement, solution validation, success evidence, and concise materials they can use with decision-makers. I also maintain a stakeholder map so the account strategy does not depend on only one champion.

What would you do if account usage increased unexpectedly before a renewal?

I would partner with the CSM and TAM to analyze the underlying usage drivers and distinguish legitimate adoption from configuration issues or unexpected behavior. I would quantify the business and technical value of legitimate growth, communicate it proactively to the customer, and identify optimization opportunities where appropriate. This creates a fact-based renewal conversation rather than a reactive explanation after billing changes.

Tell us how you approach displacing an incumbent technology with strong internal advocates.

I first seek to understand the incumbent’s strengths, existing relationships, contractual context, and the customer’s unresolved problems. I build a differentiated value hypothesis around measurable outcomes rather than product comparisons alone, then validate it through discovery and a tightly scoped evaluation. I also develop a coalition of technical and business stakeholders who can support the change internally.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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