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# Enterprise Sales Engineer – Rockies

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)Share7 Sep 2026Published48Listing views2Application actions7 Oct 2026Apply before  Opportunity details

## About this role.

AI SummaryDatadog is hiring an Enterprise Sales Engineer to partner with Account Executives on complex enterprise opportunities across the Rockies territory. The role leads discovery, solution 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, with strength in cloud, Kubernetes, observability, APM, and security. This hybrid remote role also requires executive-level communication, cross-functional collaboration, opportunity management, and travel for customer engagements.

## Role DNA

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

### Job Complexity

4/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

4/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThe position combines deep technical credibility in cloud observability and security with ownership of high-stakes enterprise evaluations and technical sales strategy. Success depends on influencing diverse customer stakeholders while coordinating multiple fast-moving opportunities.

## Salary analysis

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

Estimated job medianMarket rate$137,500US market range$120k–$180k0$198k

AI insightThe disclosed base salary range is $118,000 to $157,000 USD yearly, with a midpoint of $137,500. A typical US market base-salary range for an enterprise Sales Engineer with 5+ years of relevant experience is estimated at $120,000 to $180,000 yearly; variable compensation, equity, and location differentials may materially increase total compensation.

## 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](https://jobicy.com/jobs?search_keywords=Proof%20of%20Value.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md)[APM and Tracing](https://jobicy.com/jobs?search_keywords=APM%20and%20Tracing.md)[Executive Communication](https://jobicy.com/jobs?search_keywords=Executive%20Communication.md)

Sample interview questionsHow do you structure a technical discovery conversation for an enterprise observability opportunity?I begin by aligning on business objectives and the customer’s operational priorities, then map their application architecture, current tooling, pain points, stakeholders, and success metrics. I summarize the findings in a mutual technical evaluation plan so the proposed solution directly addresses agreed outcomes.

Describe how you would manage a proof of value with several customer teams involved.

I establish scope, owners, timeline, technical prerequisites, and measurable success criteria at kickoff. I run regular checkpoints, document risks and decisions, engage internal specialists early, and close with an outcome review that connects technical results to the buying case.

How would you explain distributed tracing to a business executive?

I would describe it as a way to follow a customer transaction across every service involved, allowing teams to quickly identify where delays and failures occur. This reduces incident impact, improves digital customer experience, and gives leaders evidence for reliability and engineering investment decisions.

What technical factors would you assess when positioning a cloud observability platform in a Kubernetes environment?

I would assess cluster architecture, deployment model, telemetry coverage, service ownership, scale, security requirements, existing monitoring gaps, and incident workflows. I would then demonstrate how metrics, logs, traces, and security signals can be correlated to shorten troubleshooting and improve operational accountability.

How do you build technical champions within a customer account?

I identify practitioners and leaders who are affected by the problem and can influence adoption, then provide them with tailored demonstrations, enablement, and evidence of value. I make their internal advocacy easier by giving them clear results, implementation guidance, and messaging aligned to their organization's goals.

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.

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 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

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:

$118,000—$157,000 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](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/152725-enterprise-sales-engineer-rockies.md)

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