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DataDog

Senior Sales Engineer - Key Accounts

Salary$149k – $198k
LocationRemote - California, Remote - Illinois, Remote - Massachusetts, Remote - New York, California, USA, Remote; Illinois, Remote; Massachusetts, Remote; New York, Remote
Work modehybrid
Typefull-time
SenioritySenior
Experience7+ yrs
DepartmentEnterprise Sales Engineering
EquityIncluded
Company size1,001–5,000 people
PostedSep 29, 2026 · 1w ago
Verified live1h ago
At a glanceSummarised by Seekless from the posting.
Must have10
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
Resilient in the face of sustained non-response
Actively coachable
A consultative, outcome-oriented approach to problem-solving and customer engagement
Comfortable operating where attempts are scarce
Demonstrated capability of utilizing AI tooling and scaling it
Growth mindset of embracing change and being curious
Nice to have1
Experience mentoring peers or contributing to team enablement initiatives
Eligibility1
Willingness to travel as needed to support customer engagements, multi-day onsites, and industry conferences in person
Skills
AWS
Azure
GCP
Kubernetes
Datadog
Benefits
Health insurance
Dental
Mental health
401(k)
Stock equity
Employee stock purchase plan
Paid time off
Fitness reimbursement
About the role
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.
What You’ll Do:
•
Work with your AE to generate pipeline. Includes validating spokes, aligning messages to target personas, working the customer’s technical organisation through your own network and meeting customers where they are: conferences, meetups or on-site
•
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, solution workshops, etc. that connect platform capabilities to customer outcomes for diverse stakeholder audiences including executives and in circumstances where the demo is the whole impression.
•
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 prospect input 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
•
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
•
Resilient in the face of sustained non-response. Early in a Key Account, calls go unanswered and emails go nowhere for a long time. You need to be someone who finds the grind interesting rather than demoralising, and who can keep the quality of the twentieth attempt as high as the first.
•
Actively coachable. The strongest people we hire ask for a dry run, take the feedback, and change what they do - visibly, in the next attempt.
•
A consultative, outcome - oriented approach to problem-solving and customer engagement
•
Comfortable operating where attempts are scarce. You will work a small portfolio of very large accounts where a mishandled first meeting can close a door for a year - the discipline is preparation and judgement about where to spend a chance
•
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, multi-day onsites, and industry conferences in person
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.
The reasonably estimated yearly salary for this role at Datadog is:
$149,000—$198,000 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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