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Sales Engineer (Customer Success)

Datadog

Engineering United States / Denver, Colorado, USA

Employer posted: September 17, 2026. Source checked: October 19, 2026 6:59 pm. Availability and final application requirements are confirmed on the employer’s site.

Source: Datadog — company careers. WorkerEra lists this opportunity from an external source; confirm current details with the employer.

About this opportunity

Datadog Sales Engineers help qualify and close opportunities with customers and partners by providing technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POCs). Sales Engineers have a voice with the product team to prioritize features based on input from customers, competitors, and partners. Additionally, you will work with various cross-functional teams to resolve customer concerns, escalate issues, advocate for customer needs, and serve as an ambassador for our brand.

If you want to join a friendly, passionate team with limitless potential, we’d love to meet you!

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:

  • Partner with the Customer Success team to articulate Datadog’s value proposition, vision, and technical strategy throughout the sales cycle.
  • Continually learn new technologies to build competitive knowledge, technical skill, and credibility
  • Deliver value-driven product and technical presentations to Datadog customers
  • Have a direct line of communication with the product team to collaborate on feature requests
  • Help clients onboard the product and assist when they run into roadblocks
  • Think creatively to solve a wide variety of technical challenges throughout the sales cycle

Who You Are:

  • Has 1 year or more of experience in a technical sales and/or post-sales role
  • Has working knowledge of cloud infrastructure, modern application architectures, observability, and/or DevOps technologies
  • Enjoys collaborating and teaming up with others
  • Demonstrates strong written and oral communication skills
  • Comfortable and confident in delivering technical presentations & demos
  • Can multi-task, manage time well, and be responsive to others
  • Curious, adaptable, and eager to continually learn and expand technical expertise
  • Enjoys a hybrid office culture and spending time in-person at our Denver office
  • Able to sit for up to 4 hours while traveling to and from client sites
  • Able to travel via auto, train, or air up to 15% of the time

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 excited to grow your skills, we encourage you to apply.

Benefits and Growth: 

  • Best-in-class onboarding
  • Generous global benefits
  • Intra-departmental mentor and buddy program
  • New hire stock equity (RSUs) and Employee Stock Purchase Plan (ESPP)
  • Continuous professional development, product training, and career growth opportunities
  • An inclusive company culture with 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.

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:
$80,000—$106,000 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.

Imported source listing. Details are supplied by the source and have not been independently verified by WorkerEra. Confirm the current vacancy on the employer’s page.

Source: Datadog — company careers

Your application checklist

  • Read the linked employer announcement and compare its requirements with your experience.
  • Tailor your CV to responsibilities and skills actually listed by the employer.
  • Confirm the work location, deadline and application documents before submitting.
  • Salary was not supplied in the listing fields; ask the employer about compensation.

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