Senior Sales Engineer - Majors

About the role

As a Senior Enterprise Sales Engineer, you will act as a trusted technical advisor and strategic partner to customers and the sales team. You will lead complex technical evaluations, align solutions with business outcomes, and influence deal strategy across enterprise accounts. This role involves deep technical engagement, stakeholder management, and driving successful outcomes through a consultative approach.

Responsibilities

• Own the technical strategy across accounts as a peer to the Account Executive.
• Manage the technical explanation behind consumption movement and growth in accounts.
• Lead discovery in meetings to uncover business insights.
• Deliver engaging product demos, technical presentations, and solution workshops.
• Manage end-to-end technical evaluations, including scoping, project planning, and success criteria.
• Identify and develop technical champions within multi-stakeholder environments.
• Contribute to product direction through field feedback sessions with PM and engineering teams.
• Ensure operational excellence by maintaining accurate documentation in systems.
• Proactively resolve technical and organizational blockers.
• Mentor peers and contribute to team enablement initiatives.

Required skills

• Sales Engineering
• Solutions Engineering
• Public cloud
• AWS
• Azure
• GCP
• Kubernetes
• APM
• Tracing
• Security
• Observability
• AI tooling

Qualifications

• 7+ years of experience in Sales Engineering, Solutions Engineering, or a technical customer-facing role within an enterprise environment

Benefits

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program
• New hire stock equity
• Employee stock purchase plan
• Continuous professional development
• Product training
• Career pathing
• Community Guilds
• Inclusion Talks

About the Company

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.