Suggested rewrite: Led a cross-functional initiative that improved [business outcome] by [measurable result], demonstrating experience relevant to this role...
Enterprise Sales Engineer – Rockies
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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.
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Sample interview questions
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.
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.
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.
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.
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.
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