Full-Time

Enterprise Sales Engineer

Posted on 10/23/2024

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Data & Analytics
Enterprise Software
Cybersecurity

Compensation Overview

$147k - $196kAnnually

Mid

Maine, USA + 1 more

More locations: Massachusetts, USA

Hybrid workplace; in-office presence required.

Category
Sales & Account Management
Sales Engineering
Sales & Solution Engineering
Required Skills
PHP
Kubernetes
Microsoft Azure
Python
Node.js
Ruby
Java
.NET
AWS
Go
Google Cloud Platform
Requirements
  • A strategic technical seller with an innate ability to connect Datadog’s capabilities with customer pain points, adept at communicating Datadog’s value in both business and technical terms
  • Skilled at understanding and translating customer needs into a clear evaluation plan that demonstrates the ROI of Datadog solutions
  • Strong written and oral communicator, effective at articulating both the technical merits and strategic business value of our solutions to diverse stakeholders
  • Experienced in programming/scripting with one or more of the following: Java, Python, Ruby, Go, Node.JS, PHP, .NET, etc.
  • Proficient with containerization tools such as Kubernetes, and experienced with cloud providers (e.g., AWS, GCP, Azure)
  • Bringing 3+ years in Sales Engineering, preferably with enterprise experience
  • Able to travel up to 45% of the time to engage with customers and build face-to-face relationships
  • Eager to learn, innovate, and contribute to a fast-paced, collaborative team environment
Responsibilities
  • Collaborate closely with Sales to communicate Datadog’s value proposition and business impact, leading customer engagements that showcase Datadog as a driver of strategic outcomes
  • Engage with customers during trials, guiding them through tailored evaluations that emphasize measurable value and address both executive priorities and hands-on technical requirements
  • Demonstrate strong strategic selling skills, mapping Datadog’s solutions to customer objectives and quantifiable business results, establishing Datadog as a long-term partner
  • Close complex enterprise opportunities by leveraging your advanced technical expertise and market knowledge, differentiating Datadog from competitors
  • Deliver compelling, tailored technical and product briefings that address high-level enterprise needs and translate technical capabilities into business benefits
  • Actively document customer insights, wins, and losses in CRM to support Datadog’s continuous improvement and contribute product feedback for ongoing competitive advantage
  • Stay engaged with internal teams and customer stakeholders on evolving needs and competitive positioning to ensure Datadog remains aligned with enterprise market demands

Datadog provides tools for monitoring and managing IT infrastructure in the cloud. Their services help organizations across various industries, such as finance, healthcare, and technology, to ensure their IT systems run smoothly. Datadog's products include application performance monitoring, security monitoring, network monitoring, and log management, among others. These tools work by collecting data from different parts of an organization's IT environment, allowing users to analyze performance, detect issues, and optimize operations in real-time. Unlike many competitors, Datadog offers a wide range of features that cater to specific needs like cloud migration and IoT monitoring, making it suitable for both small businesses and large enterprises. The company's goal is to provide comprehensive monitoring solutions that help businesses maintain efficient and secure IT operations.

Company Stage

IPO

Total Funding

$143.9M

Headquarters

New York City, New York

Founded

2010

Growth & Insights
Headcount

6 month growth

13%

1 year growth

50%

2 year growth

53%
Simplify Jobs

Simplify's Take

What believers are saying

  • Increased demand for cloud-native security solutions boosts Datadog's AWS monitoring features.
  • Growing interest in Kubernetes management tools supports Datadog's Active Remediation offering.
  • The shift towards AI-driven analytics enhances Datadog's machine learning capabilities.

What critics are saying

  • Increased competition from new entrants like Grafana Labs may pressure Datadog's market share.
  • Open-source solutions like Prometheus threaten Datadog's subscription-based model.
  • Economic uncertainties could reduce demand for Datadog's premium services.

What makes Datadog unique

  • Datadog offers a comprehensive suite of monitoring tools for diverse IT environments.
  • The company provides real-time monitoring solutions for hybrid work models.
  • Datadog's subscription-based model ensures a steady stream of recurring revenue.

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