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Datadog

Builds monitoring and security tools for clouds

Senior Sales Engineer - Key Accounts

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, GCP), Kubernetes, application performance monitoring and tracing, security, developer experience, and observability.
  • Ability to explain technical concepts to a range of audiences.
  • Resilience in sustained non-response and ability to maintain effective outreach over repeated attempts.
  • Ability to receive coaching, incorporate feedback, and visibly apply it in subsequent attempts.
  • Consultative, outcome-oriented approach to problem-solving and customer engagement.
  • Ability to operate with a small portfolio of large accounts, preparing carefully and exercising judgment about how to use limited opportunities.
  • Experience mentoring peers or contributing to team enablement initiatives.
  • Demonstrated capability in utilizing and scaling AI tooling.
  • Growth mindset, willingness to embrace change, and curiosity.
  • Willingness to travel as needed for customer engagements, multi-day onsite visits, and industry conferences.

Responsibilities

  • Work with the account executive to generate pipeline by validating spokes, aligning messages to target personas, engaging customer technical organizations through a personal network, and meeting customers at conferences, meetups, or onsite.
  • Lead customer discovery to identify technical challenges, business goals, and success criteria, then translate needs into tailored Datadog solutions and measurable business outcomes.
  • Deliver product demonstrations, technical presentations, and solution workshops that connect platform capabilities to customer outcomes for diverse stakeholders, including executives.
  • Own technical evaluations (proofs of value) end to end, including 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, creating a structured plan for champion cultivation and influence throughout the deal cycle.
  • Contribute to product direction by participating in structured product and engineering field-feedback sessions and bringing field insights and prospect input to product management and engineering teams.
  • Maintain accurate, up-to-date documentation of activity, deal progress, and customer interactions in related systems.
  • 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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