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Datadog

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Datadog

Enterprise Sales Engineer - FED

Datadog is seeking an Enterprise Sales Engineer - FED to join its team. In this position, the professional will collaborate with account executives to demonstrate the…

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Role Snapshot

Hiring Now

Remote from

Remote

Salary

Undisclosed

Department

General

Employment

Full-time

Experience

Not specified

Published3d ago
Listing Views4
Applications0
Apply BeforeNo deadline

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About This Role

Datadog is seeking an Enterprise Sales Engineer - FED to join its team. In this position, the professional will collaborate with account executives to demonstrate the value of the platform, direct technical evaluations, and steer customers from initial discovery through adoption. The ideal candidate will bridge business objectives with technical capabilities to secure new accounts and expand existing ones. Datadog operates as an observability and security platform designed for the…

Job Description

Datadog is seeking an Enterprise Sales Engineer - FED to join its team. In this position, the professional will collaborate with account executives to demonstrate the value of the platform, direct technical evaluations, and steer customers from initial discovery through adoption. The ideal candidate will bridge business objectives with technical capabilities to secure new accounts and expand existing ones.

Datadog operates as an observability and security platform designed for the artificial intelligence era, uniting applications, infrastructure, data, and security within a single system. The company values an office culture built on collaboration and offers a hybrid workplace model designed to support work-life balance.

Responsibilities

  • Manage the technical strategy across sales opportunities from generation to closure
  • Conduct customer discovery sessions to identify technical goals and link them to company offerings
  • Perform software demonstrations, presentations, and workshops connecting platform features to results
  • Oversee proof of value evaluations by defining requirements, timelines, and accountability
  • Build technical champions within accounts to advocate internally for platform adoption
  • Provide product and engineering feedback representing the customer perspective
  • Keep deal progression and activity documentation accurate and current
  • Work alongside product, support, and go-to-market teams to resolve customer roadblocks

Requirements

  • Have at least five years of experience in solutions engineering, sales engineering, or a related technical customer-facing enterprise role
  • Demonstrate proficiency in public cloud environments such as AWS, Azure, and GCP
  • Understand Kubernetes, application performance monitoring, tracing, security, and developer tools
  • Maintain a growth mindset with adaptability to change and artificial intelligence tools
  • Possess the willingness to travel when required for customer meetings

Core Skills

Benefits

  • Comprehensive onboarding program
  • Global employee benefits package
  • Intra-departmental mentorship program
  • New hire stock equity and employee stock purchase plan
  • Professional development, training, and career pathing
  • Access to community guilds and inclusion talks
  • Healthcare, dental, parental planning, and mental health coverage
  • 401(k) plan with matching contributions
  • Paid time off and fitness reimbursements

Frequently Asked Questions

What is the employment type for this role?

The posting indicates this is a full-time position.

What is the remote or office policy?

Datadog operates as a hybrid workplace to support work-life balance, valuing office culture while offering flexibility.

What is the salary range for this position?

The reasonably estimated yearly salary ranges from $118,000 to $157,000 USD, with potential for variable compensation and equity.

How many years of experience are required?

Candidates must have five or more years of experience in sales engineering, solutions engineering, or a comparable technical enterprise-facing role.

Sample Interview Questions

AI-generated questions tailored to this specific role — a preview of the full practice set.

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