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Senior Sales Engineer - Key Accounts

Datadog
Remote - Arizona, California, Nevada, Oregon, or Washington, USAUpdated 21h ago
Compensation
$149k–$198k
Published range
Location
Remote - Arizona, California, Nevada, Oregon, or Washington, USA
Remote eligibility
Employment
Full-time
Senior
Role family
Sales
B2B SaaS
Apply on careers.datadoghq.com
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About the job

About the Role

As a Senior Enterprise Sales Engineer, you will serve as a trusted technical advisor and strategic partner to both customers and Sales. You will 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 will 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, including validating spokes, aligning messages to target personas, and working the customer's technical organization through your own network.
  • 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.
  • Take full ownership of 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.
  • 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 structured product and engineering field feedback sessions.
  • Drive operational excellence by ensuring activity, deal progress, and customer interactions are accurately documented in related systems.
  • Contribute to team enablement by mentoring peers, sharing best practices, and creating reusable assets.

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, and observability.
  • Strong communication skills, with the ability to explain technical concepts to a range of audiences.
  • Resilient in the face of sustained non-response; comfortable with the grind of key accounts.
  • Actively coachable, with a consultative, outcome-oriented approach.
  • Comfortable operating where attempts are scarce; disciplined in preparation and judgment.
  • 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.

Benefits and Growth

  • Best-in-breed 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 pathing
  • Inclusive company culture with Community Guilds and Inclusion Talks

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. Benefits may vary based on country and nature of employment.

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.

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