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Datadog

Builds monitoring and security tools for clouds

Director Enterprise Sales Engineering

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

About the Job

Requirements

  • At least 5 years of experience leading frontline Sales Engineering leaders in a customer-facing technical organization, managing team performance, developing team members, and scaling high-performing teams.
  • At least 10 years of experience in Sales Engineering, Solutions Engineering, or another technical customer-facing role.
  • Demonstrated success leading solution engineering teams with senior stakeholders across Product, Site Reliability Engineering, DevOps, and Engineering teams.
  • Ability to operate strategically and operationally, balancing multi-quarter planning with day-to-day team execution and priorities.
  • Ability to influence cross-functional teams and navigate complex joint selling motions, particularly with partners and channel organizations.
  • Background in public cloud platforms (AWS, Azure, or GCP), Kubernetes, application performance monitoring and tracing, security, developer experience, observability, or adjacent SaaS technology.
  • Deep understanding of sales methodologies such as MEDDICC, Command of Message, or similar frameworks.
  • Demonstrated ability to use and scale AI tooling.
  • Willingness to travel as needed to support customer engagements or internal meetings.

Responsibilities

  • Own regional in-field execution by taking an executive presence role in strategic, high-impact opportunities and providing senior-level stakeholder alignment and technical credibility alongside the team.
  • Develop and operationalize a repeatable methodology that scales across a large customer base, illustrating how Datadog's observability and security solutions deliver measurable business outcomes, particularly as Agentic AI expands.
  • Partner with senior Sales leadership on regional strategy, multi-quarter planning, annual capacity planning, and forecast alignment, anticipating resourcing needs and business priorities two to three quarters ahead.
  • Oversee consistent, high-quality delivery across regional technical sales cycles, including evaluations, customer engagements, and deal progression.
  • Lead, coach, and develop Sales Engineering leaders, driving performance, engagement, and career growth through regular feedback and structured development.
  • Hire and onboard talent across individual-contributor and manager-level roles, building a high-performing team and accelerating customer adoption through structured onboarding and enablement.
  • Manage regional operations, including resource allocation, utilization, key performance indicator tracking, productivity, and skills development, to ensure effective territory coverage.
  • Collaborate with Sales, Product, Marketing, Enablement, and Support leaders to align regional strategy, go-to-market execution, and customer experience.
  • Improve regional processes, maintain data quality, scale evaluation frameworks, and contribute to initiatives that improve team effectiveness and business impact.
  • Track competitive developments, market dynamics, and emerging technologies to equip the team to position Datadog as a leader in cloud security.

Desired Qualifications

  • Proactive approach to introducing ideas and improving how Sales Engineers deliver customer outcomes.
  • Strong communication and stakeholder management with internal teams and customer executives.
  • Ability to explain complex security concepts in accessible language to technical and business audiences.
  • Passion for building scalable processes and fostering a collaborative, inclusive team culture.
  • Track record of driving technical sales success at scale.
  • Exceptional leadership, coaching, and team-building capabilities, with experience scaling high-impact teams.

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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