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Datadog

Builds monitoring and security tools for clouds

Senior Sales Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-time

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.
  • Experience displacing or consolidating an entrenched incumbent within an account where that incumbent has internal advocates.
  • A consultative, outcome-oriented approach to problem-solving and customer engagement.
  • Experience supporting a small number of large organizations over extended periods and explaining how account understanding compounded across quarters.
  • Experience mentoring peers or contributing to team enablement initiatives.
  • Demonstrated capability using and scaling artificial intelligence tooling.
  • Willingness to travel as needed to support customer engagements.

Responsibilities

  • Own the technical strategy across assigned accounts as a peer to the Account Executive, including a standing weekly one-on-one with each supported Account Executive and a weekly account-team call to report proof-of-value status, technical blockers, and explanations for usage movement.
  • Own the technical explanation for consumption movement in assigned accounts. Work with the Customer Success Manager and Technical Account Manager to distinguish legitimate growth from misconfiguration, quantify legitimate growth before renewal, and flag forward-looking usage signalled by the customer.
  • Lead discovery in every meeting, including meetings intended for presentations, and learn something new about the customer’s business in each meeting.
  • Deliver product demonstrations, technical presentations, and solution workshops that connect platform capabilities to customer outcomes for diverse stakeholder audiences, including executives.
  • Own technical evaluations (proofs of value) end-to-end by scoping use cases and requirements, defining competitive success criteria, building project plans with clear timelines, and holding participants accountable to the process.
  • Identify, develop, and leverage technical champions across multi-stakeholder environments, with a structured plan for champion development and influence throughout and beyond the deal cycle.
  • Participate in structured product and engineering field-feedback sessions, bringing field insights and customer patterns to product management and engineering teams.
  • Ensure 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 go-to-market teams before customers are impacted.
  • Mentor peers, share best practices, and create reusable assets to 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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