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Senior Sales Engineer – Majors (UK/Nordics/Netherlands)

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Remote from
UK, Netherlands, Sweden+1 more, Denmark
Salary
Undisclosed
Department
Sales
Employment
Full Time
Experience
Director
Published
Apply before
24 Nov 2026
Listing views
16
Application actions
1
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AI Summary

The role, at a glance.

Datadog is seeking a senior enterprise Sales Engineer to own technical strategy and complex evaluations for major accounts across the UK, Nordics, and Netherlands. The role partners closely with Account Executives, CSMs, TAMs, Product, Support, and GTM teams to connect observability-platform capabilities with measurable customer outcomes. Responsibilities include leading discovery, demos, workshops, POVs, competitive evaluations, champion development, usage analysis, and deal-blocker resolution. Candidates need at least seven years of enterprise-facing technical sales or solutions-engineering experience and deep knowledge of public cloud, Kubernetes, observability, APM, security, and developer experience. This is a remote regional role with travel as needed for customer engagements.

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 insightThe position requires independent ownership of high-stakes, multi-stakeholder enterprise technical evaluations and the ability to displace established competitors. Success depends on advanced cloud and observability expertise combined with executive-level commercial influence.

Salary analysis

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

Estimated job median (per year)Highly competitive
$220,000
US market range (per year)$180k–$260k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. The annual USD figures are AI-estimated market compensation for a senior enterprise Sales Engineer; the yearly period is inferred from the full-time seniority and role conventions.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How do you structure an enterprise proof of value for an observability platform?

I begin by validating the business problem, technical use cases, stakeholders, and competitive context. I then document measurable success criteria, assign owners, establish a timeline, and run regular checkpoints so technical progress remains tied to the buying decision.

Describe how you would address unexpected growth in a customer's platform consumption.

I would investigate the usage data with the customer and internal CSM or TAM, separating legitimate adoption from configuration issues or inefficiencies. I would quantify validated value, surface forecasted growth early, and communicate findings clearly before a renewal or commercial discussion.

How do you tailor a technical demo for executive and engineering audiences?

For executives, I focus on business risk, operational outcomes, adoption, and financial impact. For engineers, I demonstrate relevant workflows, architecture, integrations, and technical evidence, while maintaining a common narrative connected to agreed customer objectives.

How have you displaced an incumbent vendor with strong internal advocates?

I identify the incumbent's strengths and the customer's unresolved needs through multi-threaded discovery. I build a champion plan, prove differentiated value against mutually agreed criteria, reduce migration risk, and maintain transparent alignment with both technical and business stakeholders.

How do you stay effective when managing a small number of complex enterprise accounts over long sales cycles?

I maintain detailed account plans covering stakeholders, business priorities, technical architecture, risks, usage signals, and next actions. Regular account-team reviews and disciplined CRM updates help me compound account knowledge and adapt strategy as customer priorities evolve.

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


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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