# Enterprise Sales Engineer

**Company:** [Datadog](https://hotfix.jobs/companies/datadog)
**Location:** Remote
**Role:** Sales Engineering
**Experience:** 5+ years
**Skills:** AWS, Azure, GCP, Kubernetes, Apm, Distributed Tracing, Application Security, Developer Experience, Observability, Technical Presentations
**Posted:** 2026-08-12

> Partners with enterprise sales teams to lead technical discovery, product demonstrations, workshops, and proof-of-value evaluations for Datadog solutions. The role requires at least five years of enterprise-facing sales or solutions engineering experience, strong communication skills, and expertise in cloud, Kubernetes, security, and observability.

## Job Description

## Responsibilities

- Partner with Account Executives to own the technical strategy across enterprise sales opportunities from qualification through closed won.
- Lead customer discovery to uncover technical challenges, business goals, and success criteria, translating those needs into tailored Datadog solutions.
- Deliver product demos, technical presentations, and workshops connecting platform capabilities to customer outcomes.
- Project-manage technical evaluations end to end, including scoping use cases, defining success criteria, creating timelines, and holding participants accountable.
- Identify and cultivate technical champions within customer accounts to advocate for Datadog adoption and build internal consensus.
- Participate in product and engineering feedback sessions as the technical voice of the customer.
- Maintain accurate records of activity, deal progress, and customer interactions in related systems.
- Collaborate with Product, Support, and go-to-market teams to address customer needs and resolve technical blockers.

## Requirements

- 5+ years of experience in Sales Engineering, Solutions Engineering, or a technical customer-facing role in an enterprise environment.
- Experience navigating multi-stakeholder environments and adapting communication for technical, business, and executive audiences.
- Proficiency with public cloud platforms, Kubernetes, APM and tracing, security, developer experience, and observability.
- Strong communication skills and the ability to explain technical concepts to varied audiences.
- Consultative approach to problem-solving and customer engagement.
- Ability to manage multiple opportunities and priorities in a fast-paced environment.
- Growth mindset and willingness to embrace change and AI tools.
- Willingness to travel as needed for customer engagements.

## Benefits

- Best-in-breed onboarding.
- Generous global benefits.
- Intra-departmental mentor and buddy program.
- New-hire stock equity (RSUs) and employee stock purchase plan (ESPP).
- Continuous professional development, product training, and career pathing.
- Inclusive company culture with access to Community Guilds and Inclusion Talks.
- Benefits may vary based on country of employment and the nature of employment.

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