Senior Sales Engineer - Key Accounts (AMER - East)

Datadog; Virginia (MN); Hybrid; USD 149,000 - 198,000; Full time

Benefits offered by this job

Best-in-breed onboarding

Generous global benefits

Mentor and buddy program

New hire stock equity (RSUs) & ESPP

Career development & training

Inclusive culture and Community Guilds

Job summary

Datadog is seeking a Senior Enterprise Sales Engineer to serve as a trusted technical advisor in enterprise accounts. You will own the end-to-end evaluation experience, shape deal strategy, and translate customer needs into Datadog solutions that drive measurable business outcomes.

You will lead demos, align platform capabilities with executive priorities, and collaborate with product and engineering teams to overcome blockers, while thriving in a hybrid work model with global benefits.

Qualifications

• 7+ years in Sales Engineering, Solutions Engineering, or similar
• Advanced background in public cloud (AWS, Azure, GCP), Kubernetes, APM/tracing, security, developer experience, observability
• Consultative, outcome-oriented problem solving and customer engagement
• Ability to manage multiple opportunities in a fast-paced environment
• Mentoring peers and contributing to team enablement
• Experience utilizing AI tooling and scaling it
• Growth mindset and willingness to travel

Responsibilities

• Own the sales process in partnership with Account Executives, shaping technical strategy across opportunities
• Lead customer discovery to uncover challenges and map solutions to outcomes
• Deliver product demos, technical presentations, and solution workshops for executive audiences
• Own end-to-end technical evaluations (POVs): scope use cases, define criteria, build project plan
• Develop technical champions across multi-stakeholder environments and nurture influence
• Contribute to product direction via field feedback to PM and engineering
• Ensure activity and deal progress are documented in systems
• Proactively resolve blockers by collaborating across Product, Support, and GTM
• Mentor peers and create reusable assets to scale knowledge across the region

Skills

Sales engineering

Public cloud

Kubernetes

APM/tracing

Security

Developer experience

Observability

Communication

Mentoring

AI tooling

Growth mindset

Travel readiness

Tools

AWS

Azure

GCP

Job description

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

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.

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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.