Full-Time

Enterprise Sales Engineer

Majors Accounts

Confirmed live in the last 24 hours

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Data & Analytics
Enterprise Software

Compensation Overview

$186k - $248kAnnually

Mid

Remote in USA

Category
Sales & Account Management
Sales Engineering
Sales & Solution Engineering
Required Skills
PHP
Python
Node.js
Ruby
Java
.NET
Go
Requirements
  • Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
  • Strong written and oral communication skills
  • Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
  • Minimum of 3+ years in a Sales Engineering or DevOps Engineering role
  • Able to sit up to 4 hours, traveling to and from client sites
  • Able to travel via auto, train or air up to 45% of the time
Responsibilities
  • Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
  • Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
  • Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
  • Deliver product and technical briefings / presentations to potential clients
  • Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
  • Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

Datadog provides tools for monitoring and managing IT infrastructure in the cloud. Their services help organizations track various aspects of their operations, including application performance, security, and network activity. Datadog's products work by collecting data from different sources within an organization's IT environment, allowing users to analyze performance metrics and detect issues in real-time. This enables businesses to ensure their systems run smoothly and efficiently. Unlike many competitors, Datadog offers a wide range of monitoring solutions that cater to specific needs, such as cloud migration and IoT monitoring, all within a single platform. The company's goal is to help businesses optimize their IT operations and improve overall performance through effective monitoring and analytics.

Company Stage

IPO

Total Funding

$143.9M

Headquarters

New York City, New York

Founded

2010

Growth & Insights
Headcount

6 month growth

16%

1 year growth

36%

2 year growth

54%
Simplify Jobs

Simplify's Take

What believers are saying

  • Datadog's strategic partnerships, such as with JFrog, enhance its platform capabilities and expand its market reach.
  • The launch of new tools like Log Workspaces and Data Jobs Monitoring highlights Datadog's focus on improving user experience and operational efficiency.
  • Significant investments from entities like Riverview Trust Co and participation in funding rounds for AI startups indicate strong financial backing and growth potential.

What critics are saying

  • The competitive landscape in cloud monitoring and analytics is intense, with major players like AWS and Google Cloud posing significant threats.
  • Frequent introduction of new features may lead to complexity and potential integration issues for existing users.

What makes Datadog unique

  • Datadog's comprehensive suite of monitoring tools, including APM, security monitoring, and IoT monitoring, sets it apart from competitors who may offer more limited solutions.
  • Their scalable subscription-based pricing model allows them to cater to both small businesses and large enterprises, providing flexibility that many competitors lack.
  • The recent introduction of features like Live Debugger and Kubernetes Autoscaling demonstrates Datadog's commitment to continuous innovation and addressing real-time operational challenges.

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