As a Senior Enterprise Sales Engineer, you’ll serve as a trusted technical advisor and strategic partner to both customers and Sales. You’ll lead complex technical evaluations, align solutions to business outcomes, and help shape deal strategy in high-impact opportunities.
This role goes beyond delivering demos - you’ll own the evaluation experience end-to-end, influence key stakeholders, and help drive successful outcomes across enterprise 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 and measurable business outcomes
- Deliver engaging product demos, technical presentations, and solution workshops that connect platform capabilities to customer outcomes for diverse stakeholder audiences including executives
- Full ownership of the technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining competitive success criteria, building a project plan with clear timelines, and holding all participants accountable to the process
- Identify, develop, and leverage technical champions across multi-stakeholder environments, building a structured plan for champion cultivation and influence throughout the deal cycle
- Contribute to product direction through active participation in structured product and engineering field feedback sessions, bringing field insights and customer patterns to PM and engineering teams
- Drive operational excellence by ensuring activity, deal progress, and customer interactions are accurately documented and up to date in related systems
- Identify and proactively resolve technical and organizational blockers by collaborating across Product, Support, and GTM teams before customers are impacted
- Contribute to team enablement by mentoring peers, sharing best practices, and creating reusable assets that scale knowledge across the region
Who You Are:
- 7+ years of experience in Sales Engineering, Solutions Engineering, or a technical customer-facing role within an enterprise environment
- Skilled at influencing and adapting communication across technical, business, and executive audiences
- Advanced 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, outcome - oriented approach to problem-solving and customer engagement
- Demonstrated ability to manage multiple opportunities and priorities in a fast-paced environment
- Experience mentoring peers or contributing to team enablement initiatives
- Demonstrated capability of utilizing AI tooling and scaling it
- Growth mindset of embracing change and being curious
- 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.
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.
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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