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
Cybersecurity

Mid, Senior

London, UK

Hybrid workplace; in-office presence required.

Category
Sales & Account Management
Sales Engineering
Sales & Solution Engineering
Required Skills
PHP
Python
Node.js
Ruby
Java
.NET
Go
Requirements
  • Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
  • Someone with a 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
  • Strong written and oral communication skills
Responsibilities
  • Partner with the Sales team, Technical Account Managers, CSMs, and others on the broader account team to articulate the overall Datadog value proposition, vision and strategy to customers
  • Own technical engagement with customers as new teams evaluate the platform and guide existing teams in evaluating new products
  • 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 and articulate the successes achieved through Datadog platform adoption in Quarterly Business Reviews
  • 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 visualize and analyze this information in real-time. This helps businesses ensure their systems are running smoothly and efficiently. What sets Datadog apart from competitors is its wide range of features that cater to different needs, such as cloud migration, DevOps practices, and IoT monitoring, all within a single platform. The company's goal is to support organizations in optimizing their IT operations and enhancing their overall performance through effective monitoring solutions.

Company Stage

IPO

Total Funding

$143.9M

Headquarters

New York City, New York

Founded

2010

Growth & Insights
Headcount

6 month growth

0%

1 year growth

3%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Increased demand for cloud-native solutions boosts Datadog's growth potential.
  • The rise of edge computing creates new opportunities for Datadog's observability services.
  • Growing importance of cybersecurity increases demand for Datadog's security monitoring.

What critics are saying

  • Increased competition from new entrants like Grafana Labs could pressure Datadog's market share.
  • Rapid technological advancements in AI may outpace Datadog's current capabilities.
  • Economic uncertainties could lead to reduced spending on monitoring services, affecting revenue.

What makes Datadog unique

  • Datadog offers comprehensive monitoring across servers, containers, and databases.
  • The LLM Observability module positions Datadog well in AI and machine learning trends.
  • Datadog's serverless monitoring capabilities align with the growing trend of serverless computing.

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Benefits

Health Insurance

Dental Insurance

Mental Health Support

401(k) Retirement Plan

401(k) Company Match

Company Equity

Employee Stock Purchase Plan

Professional Development Budget

Hybrid Work Options

Flexible Work Hours

Paid Vacation