Senior Sales Engineer

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.

The reasonably estimated yearly salary for this role at Datadog is:
$149,000—$198,000 USD

Skills Required
Minimum 3+ years in a Sales Engineering or DevOps Engineering role
Experience programming/scripting with Java, Python, Ruby, Go, Node.JS, PHP, or .NET
Strong written and oral communication skills and ability to articulate business and technical value
Experience delivering product demonstrations, technical briefings, and supporting technical evaluations (POVs)
Ability to build and execute customer evaluation plans and educate customers on observability risks
Ability to maintain accurate notes and feedback in CRM
Able to travel up to 45% of the time and sit up to 4 hours while traveling to client sites