Senior Enterprise Sales Engineer — AI & Cloud Observability

Datadog, Inc.; United Kingdom; Remote; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Onboarding program

Global benefits

Stock equity (RSUs) & ESPP

Mentor program

Job summary

Datadog is seeking an Enterprise Sales Engineer to partner with Sales, lead technical evaluations, deliver demos, and guide customers from discovery to adoption.

You will own the technical strategy across opportunities with Account Executives, translate needs into Datadog solutions, and collaborate cross-functionally to resolve blockers and drive outcomes.

The role requires 5+ years in a technical customer-facing capacity, strong cloud/Kubernetes experience, and willingness to travel as needed.

Qualifications

• 5+ years in Sales Engineering, Solutions Engineering, or a similar technical customer-facing role in an enterprise environment.
• Ability to navigate multi-stakeholder environments and adapt communication for technical, business, and executive audiences.
• Proficient background in public cloud (AWS, Azure, GCP), Kubernetes, APM/tracing, security, developer experience, observability.

Responsibilities

• Lead and shape the technical strategy across opportunities from PG to Closed Won.
• Discover customer needs, translate to Datadog solutions, and drive adoption.
• Deliver engaging product demos, technical presentations, and workshops aligned to customer outcomes.
• Manage POVs end-to-end with scoping, success criteria, and timelines.

Skills

Sales engineering

Stakeholder management

Communication to executives

Problem solving

Developing relationships

Tools

AWS

Azure

GCP

Kubernetes

APM/tracing

Job description

Datadog is seeking an Enterprise Sales Engineer to partner with Sales, lead technical evaluations, deliver demos, and guide customers from discovery to adoption.

You will own the technical strategy across opportunities with Account Executives, translate needs into Datadog solutions, and collaborate cross-functionally to resolve blockers and drive outcomes.

The role requires 5+ years in a technical customer-facing capacity, strong cloud/Kubernetes experience, and willingness to travel as needed.