Full-Time

Technical Account Manager 2

Denver

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

$100.5k - $134kAnnually

+ Variable Compensation

Mid

Denver, CO, USA

Hybrid workplace.

Category
Customer Success Management
Sales & Account Management
Required Skills
Chef
PHP
Kubernetes
Microsoft Azure
Python
JavaScript
Puppet
Ruby
Docker
AWS
Perl
Go
Jenkins
Google Cloud Platform
Requirements
  • solid technical grounding and hands-on experience of IT Operations
  • hands on experience AWS, Azure or GCP
  • comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc.
  • skilled in using CI/CD tools e.g. Jenkins, Gitlab etc.
  • knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc.
  • able to sit up to 4 hours, traveling to and from client sites
  • able to travel via auto, train or air up to 30% of the time
  • previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space
  • experienced using Datadog and/or other cloud monitoring tools
Responsibilities
  • Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes
  • Analyze customer’s IT Operations environment on a regular basis and provide recommendations that will maximize Datadog’s value.
  • Be the customer’s advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements
  • Participate and prepare for Monthly and Quarterly Business Reviews with customers
  • Collaborate with Datadog’s product management, engineering and technical services teams to help identify new features and products
  • Continuously evolve best practice to technical product adoption and customer success

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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