All remote jobs

Enterprise Sales Engineer – Rockies

AI Summary
Datadog is seeking an Enterprise Sales Engineer to partner with Account Executives and lead the technical side of enterprise sales opportunities in the Rockies region. The role includes discovery, tailored demos, workshops, proof-of-value project management, and technical champion development. Candidates need deep familiarity with public cloud, Kubernetes, observability, APM/tracing, security, and developer experience. This is a customer-facing hybrid role that requires managing multiple complex stakeholders and occasional travel. The position also channels field feedback to Product and Engineering while maintaining accurate deal activity records.
Remote from
USA
Salary
USD 118k–157k / yr
Department
Sales
Employment
Full Time
Experience
Director
Published
Apply before
9 Dec 2026
Listing views
23
Application actions
1
Application toolkit

Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

Opportunity details

About this role.

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, 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.

Apply now >

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

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe role requires both broad technical credibility and consultative enterprise-selling skill across complex, multi-stakeholder evaluations. Success depends on independently coordinating technical proofs of value while adapting communication for engineers, business leaders, and executives.

Salary analysis

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

Estimated job median (per year)Market rate
$137,500
US market range (per year)$120k–$175k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. Datadog explicitly states a yearly base salary range of $118,000–$157,000 USD, with a midpoint of $137,500. Estimated US market base pay for an enterprise sales engineer with comparable cloud and observability expertise is approximately $120,000–$175,000 yearly; variable compensation and equity may be offered separately.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you structure a proof-of-value engagement for an enterprise customer evaluating Datadog?

I would begin with discovery to identify business objectives, technical pain points, stakeholders, and measurable success criteria. I would scope a small number of high-value use cases, document responsibilities and timelines, configure the required integrations, and hold regular checkpoints. At the end, I would present outcomes against the agreed success metrics and define the path to production adoption.

How do you explain observability to an executive audience that is not deeply technical?

I connect observability to business outcomes such as reduced outage duration, lower operational risk, faster feature delivery, and improved customer experience. Rather than focusing first on telemetry types or product features, I use an example of how unified visibility helps teams detect and resolve issues before they affect revenue or users. I then quantify the impact using the customer's own operational goals where possible.

Describe how you would handle a technical objection from a customer who already uses several monitoring tools.

I would first understand which tools they use, what each tool does well, and where fragmentation creates cost, workflow, or troubleshooting challenges. I would avoid assuming replacement is necessary and instead demonstrate how Datadog can complement or consolidate capabilities based on their priorities. A focused demo or proof of value using their environment would validate integration, usability, and operational impact.

How do you manage several technical evaluations at the same time without losing momentum?

I use a structured opportunity plan for each evaluation, including customer goals, technical scope, owners, dates, risks, and next actions. I prioritize opportunities based on business impact, stage, customer readiness, and deadline, while maintaining a consistent cadence of customer and internal checkpoints. Accurate CRM updates and early escalation of blockers help keep all teams aligned.

What is your approach to building technical champions within an account?

I identify people who are close to the operational problem and have influence with the evaluation team. I provide them with tailored technical guidance, useful architecture examples, and evidence that supports their internal business case. By helping champions demonstrate value to their peers and leaders, I enable them to drive consensus and sustain adoption after the sale.

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

Apply now.

Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information.

Did you apply?Let us know, and we’ll help you track your application.

Continue on the employer website

Protect your personal information and never pay to secure an interview or job offer. .

Log in to save
One quick step before you apply

Sign in to continue.

Sign in or create a free account to continue to the employer's application.

Add alert
Jobs Talent AI Tools Salaries
Menu