[All remote jobs](https://jobicy.com/jobs.md)Open role[![Datadog logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/c1654fc7-221.jpg)](https://jobicy.com/company/datadog.md)Remote opportunity at[Datadog](https://jobicy.com/company/datadog.md) # Enterprise Sales Engineer – UK Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/datadog.md)Share18 Aug 2026Published35Listing views3Application actions17 Sep 2026Apply before Opportunity details ## About this role. AI SummaryDatadog is hiring a remote Enterprise Sales Engineer for the United Kingdom to partner with Account Executives on complex enterprise opportunities. The role leads discovery, technical strategy, product demonstrations, workshops, and end-to-end proof-of-value evaluations. Candidates need at least five years of sales engineering, solutions engineering, or comparable enterprise customer-facing technical experience. Core technical knowledge includes public cloud, Kubernetes, APM and tracing, security, developer experience, and observability. The position requires strong stakeholder communication, opportunity management, cross-functional collaboration, and travel as needed. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior customer-facing technical sales role requiring both credible cloud and observability expertise and the ability to influence complex enterprise buying groups. Success depends on independently managing multiple evaluations while aligning technical proof with commercial outcomes. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$150,000US market range$120k–$190k0$209k AI insightNo candidate compensation is disclosed in the posting. The figures below are estimates for the US market for a senior enterprise Sales Engineer in cloud observability: estimated annual base salary of $150,000, with a typical base-salary market range of $120,000 to $190,000; variable compensation, equity, and benefits may materially increase total earnings. ## Core skills Skills and capabilities most closely associated with this opportunity. [Enterprise Sales Engineering](https://jobicy.com/jobs?search_keywords=Enterprise%20Sales%20Engineering.md)[Solutions Engineering](https://jobicy.com/jobs?search_keywords=Solutions%20Engineering.md)[Technical Discovery](https://jobicy.com/jobs?search_keywords=Technical%20Discovery.md)[Product Demonstrations](https://jobicy.com/jobs?search_keywords=Product%20Demonstrations.md)[Proof of Value (POV)](https://jobicy.com/jobs?search_keywords=Proof%20of%20Value%20POV.md)[Cloud Computing](https://jobicy.com/jobs?search_keywords=Cloud%20Computing.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md)[APM and Distributed Tracing](https://jobicy.com/jobs?search_keywords=APM%20and%20Distributed%20Tracing.md)[Stakeholder Management](https://jobicy.com/jobs?search_keywords=Stakeholder%20Management.md) Cover letter sampleDear Hiring Team, I am excited to apply for the Enterprise Sales Engineer role at Datadog. My background in enterprise technical sales and cloud-native platforms enables me to lead discovery, translate complex requirements into measurable customer outcomes, and deliver persuasive demonstrations for technical and executive stakeholders. I would bring a consultative, disciplined approach to managing POVs, building technical champions, and partnering closely with Account Executives to advance strategic opportunities. My experience with observability, public cloud, Kubernetes, and application performance concepts aligns strongly with Datadog's platform and customer needs. I would welcome the opportunity to help Datadog win and expand enterprise relationships across the UK. Copy Sample interview questionsHow would you structure and manage an enterprise proof of value from discovery through close?I begin by agreeing on the business problem, technical use cases, stakeholders, success metrics, timeline, and decision process. I document these in a mutual evaluation plan, run recurring checkpoints, address blockers quickly, and conclude with an executive readout that ties validated results to the customer's desired outcomes. How do you adapt a Datadog demonstration for technical users versus executive stakeholders? I tailor the narrative to the audience. With engineers, I demonstrate architecture, instrumentation, integrations, and troubleshooting workflows; with executives, I focus on risk reduction, operational efficiency, customer impact, and the measurable value of consolidating visibility across the stack. How do you connect observability capabilities to a customer's business objectives? I use discovery to identify pain points such as fragmented monitoring, slow incident resolution, cloud complexity, or security visibility gaps. I then map each stated priority to specific capabilities and validate the mapping with hands-on scenarios and agreed success criteria rather than relying on generic feature presentations. How do you identify and enable a technical champion in a complex account? I build credibility by being transparent about what is possible, listening carefully to technical concerns, and helping the champion create an internal case for change. I provide reusable technical materials, clear validation results, and stakeholder-specific messaging so they can confidently advocate for adoption when I am not in the room. How do you manage competing technical evaluations and sales priorities in a fast-paced environment? I prioritize based on opportunity stage, strategic value, next-step urgency, and the risk of technical blockers. I maintain accurate CRM records, establish clear owners and dates for each action, and communicate early with Account Executives when resource trade-offs or escalation are needed. As an Enterprise Sales Engineer, you’ll partner with Sales to help customers understand the value of Datadog and how it solves their most important technical and business challenges. You’ll lead technical evaluations, deliver compelling demos, and guide customers through the journey from discovery to successful adoption. You’ll act as a trusted advisor, bridging business goals with technical solutions, and play a key role in winning new business and expanding existing accounts. 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 customer discovery to uncover technical challenges, business goals, and success criteria, then translate those needs into tailored Datadog solutions * Deliver engaging product demos, technical presentations, and workshops that connect platform capabilities to customer outcomes * Project manage technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining success criteria, building a project plan with clear timelines, and holding all participants accountable to the process * Identify and cultivate technical champions within customer accounts, empowering them to advocate for Datadog adoption and drive consensus internally * Participat e actively in structured product and engineering field feedback sessions, serving as the technical voice of the customer to help shape product direction * Maintain operational excellence by ensuring activity, deal progress, and customer interactions are accurately documented and up to date in related systems * Collaborate cross-functionally with Product, Support, and GTM teams to address customer needs and resolve technical blockers Who You Are: * 5+ years of experience in Sales Engineering, Solutions Engineering, or a technical customer-facing role within an enterprise environment * Skilled at navigating multi-stakeholder environments and adapting communication style to technical, business, and executive audiences * Proficient 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 * A consultative approach to problem-solving and customer engagement * Ability to manage multiple opportunities and priorities in a fast-paced environment * Growth mindset by embracing change and AI tools * 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-Remote 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](https://www.instagram.com/datadoghq/?hl=en), [LinkedIn,](https://www.linkedin.com/company/datadog) and [Datadog Learning Center.](https://learn.datadoghq.com/) Equal Opportunity at Datadog: Datadog is proud to offer [equal employment opportunity](https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) 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](https://www.datadoghq.com/legal/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](https://docs.google.com/forms/d/e/1FAIpQLSeoJeduEZ2NdZF_65uZmWUrCM-zee7yADXX1s6Xr9zAGq8iKA/viewform). 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](https://www.datadoghq.com/legal/applicant-candidate-privacy/). For information on our AI policy, please visit [Interviewing at Datadog AI Guidelines](https://www.datadoghq.com/legal/interviewing-at-datadog-ai-guidelines/). Show more [Apply now >](https://jobicy.com/jobs/151034-enterprise-sales-engineer-uk.md) > Annual salary information is not provided for this position. 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