Full-Time

Incident and Escalations Manager

US-East

Updated on 11/19/2024

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Data & Analytics
Enterprise Software

Compensation Overview

$137k - $183kAnnually

Mid

New York, NY, USA

Hybrid workplace; in-office presence required.

Category
Customer Experience
Customer Support
Customer Success & Support
Required Skills
Python
JavaScript
Requirements
  • 3+ years demonstrable Incident Manager experience (escalations is a plus)
  • 1+ year of experience in Support, Network, Solutions Architecture, or similar IT role
  • Bachelor’s degree in Computer Science, Information Science/Technology, Engineering or equivalent experience
  • Familiarity with Cloud computing, experience with Python, JavaScript or shell scripting
  • Ability to correlate behaviors based on known interdependencies
  • Experience driving projects from conception to delivery, demonstrated problem-solving experience, and ability to work in challenging fast-paced environments
  • Able to work a rotating schedule that requires weekend availability
Responsibilities
  • Drive the resolution of incidents and escalations while providing response and/or management to customers
  • Design and implement real-time and proactive monitoring of customer's infrastructures
  • Prioritize, manage, and own customer issues from start to finish
  • Monitor and manage communications (sometimes public, sensitive and large scale) during incidents
  • Collaborate with stakeholders across Datadog and its partners worldwide to enhance customer experience
  • Lead projects to deliver operational improvements as Datadog evolves
  • Create and review documentation as well as incident and escalation training
  • Identify and troubleshoot recurring cloud infrastructure issues
  • Hire and mentor stakeholders and peers in incident and escalation management

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

55%
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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