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Datadog

Builds monitoring and security tools for clouds

Senior Enterprise Sales Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-time$149k - $198k /yr

About the Job

Requirements

  • At least 7 years of experience in Sales Engineering, Solutions Engineering, or a technical customer-facing role within an enterprise environment.
  • Ability to influence and adapt communication across technical, business, and executive audiences.
  • Advanced background in public cloud platforms (AWS, Azure, or GCP), Kubernetes, application performance monitoring and tracing, security, developer experience, and observability.
  • Ability to explain technical concepts to a range of audiences.
  • Consultative, outcome-oriented approach to problem-solving and customer engagement.
  • Ability to manage multiple opportunities and priorities in a fast-paced environment.
  • Experience mentoring peers or contributing to team enablement initiatives.
  • Demonstrated capability in utilizing and scaling AI tooling.
  • Willingness to travel as needed to support customer engagements.

Responsibilities

  • Serve as a trusted technical advisor and strategic partner to customers and Sales.
  • Lead complex technical evaluations, align solutions to business outcomes, and help shape deal strategy in high-impact opportunities.
  • Own the evaluation experience end-to-end, influence key stakeholders, and help drive successful outcomes across enterprise accounts.
  • Own the sales process in partnership with Account Executives by leading and shaping 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 product demos, technical presentations, and solution workshops that connect platform capabilities to customer outcomes for diverse stakeholder audiences, including executives.
  • Own technical evaluations (POVs) end-to-end, including scoping use cases and requirements, defining competitive success criteria, building project plans 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 structured product and engineering field feedback sessions, bringing field insights and customer patterns to Product Management and engineering teams.
  • Document activity, deal progress, and customer interactions accurately and keep related systems up to date.
  • Identify and proactively resolve technical and organizational blockers by collaborating across Product, Support, and go-to-market teams before customers are impacted.
  • Mentor peers, share best practices, and create reusable assets that scale knowledge across the region.

About the Company

Datadog

Builds monitoring and security tools for clouds

Datadog builds monitoring and security software for developers and operations teams that run cloud applications, giving them a shared view of system health and performance. Its platform links infrastructure monitoring with application performance and log analysis so teams trace a problem across the systems involved. Software agents and integrations collect operational data, which teams explore through dashboards and alerts to find failures, investigate threats and improve the customer experience. The company sells subscriptions to individual products and combined plans, with charges tied to the resources and data monitored. Datadog was founded in 2010 and is headquartered in New York City.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2010

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