Regional Director, Sales Engineering — Enterprise Growth

Datadog; Singapore; Hybrid; SGD 300,000 - 420,000; Full time

Benefits offered by this job

Stock options / RSUs

ESPP

Mentor program

Job summary

Datadog seeks a Director, Enterprise Sales Engineering in Singapore to lead a regional team across ASEAN & GCR. The role focuses on strategic execution, stakeholder alignment, and scalable growth, partnering with Sales leadership to shape GTM priorities and ensure high-impact outcomes.

The ideal candidate brings 10+ years in sales engineering leadership, public cloud and observability expertise, and a track record of scaling teams while driving business impact.

Qualifications

• 5+ years leading SE teams in a customer-facing technical organization.
• 10+ years in Sales Engineering, Solutions Engineering, or a technical customer-facing role.
• Demonstrated success leading solution engineering teams with senior stakeholders across Product and Engineering teams.
• Is naturally proactive, constantly introducing new ideas to help SEs deliver better outcomes.
• Background in public cloud (AWS, Azure, GCP), Kubernetes, observability or adjacent SaaS technology.

Responsibilities

• Own in-field execution at a regional level with executive presence and senior stakeholder alignment.
• Develop and operationalize scalable formula and methodology for enterprise growth.
• Partner with Sales leadership on regional strategy, capacity planning, and forecast alignment.
• Oversee high-quality delivery across technical sales cycles in the region.
• Lead, coach, and develop a team of Sales Engineering leaders.

Skills

Team leadership

Strategic planning

Stakeholder management

Executive communication

Sales engineering

AI tooling

Tools

AWS

Azure

GCP

Kubernetes

APM/Tracing

Job description

Datadog seeks a Director, Enterprise Sales Engineering in Singapore to lead a regional team across ASEAN & GCR. The role focuses on strategic execution, stakeholder alignment, and scalable growth, partnering with Sales leadership to shape GTM priorities and ensure high-impact outcomes.

The ideal candidate brings 10+ years in sales engineering leadership, public cloud and observability expertise, and a track record of scaling teams while driving business impact.