Simplify Logo

Full-Time

Enterprise Security Sales Engineer

US West

Posted on 7/5/2024

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Data & Analytics
Consulting
Enterprise Software

Compensation Overview

$120k - $176kAnnually

+ Variable Compensation + Employee Stock Purchase Plan

Mid, Senior

Oregon, USA

Category
Sales Engineering
Sales & Solution Engineering
Required Skills
Microsoft Azure
Sales
AWS
Development Operations (DevOps)
Google Cloud Platform
Requirements
  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • Expert knowledge of the developer and DevOps ecosystems and application security best practices.
  • Strong understanding of security principles, technologies, and best practices.
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and related security tools and technologies.
  • Willingness to travel up to 30% to meet with customers and attend industry events.
Responsibilities
  • Collaborate with the sales team to identify and understand customer security requirements.
  • Conduct detailed product demonstrations and presentations showcasing the capabilities and benefits of Datadog's security solutions.
  • Provide technical expertise and support throughout the sales cycle, including during customer evaluations and proof-of-value initiatives.
  • Develop and maintain a deep understanding of Datadog's security products, industry trends, and current vulnerabilities.
  • Assist in the creation of technical proposals, documentation, and other sales materials.
  • Work closely with the product management and engineering teams to relay customer feedback and influence product development.
  • Participate in industry events, conferences, and webinars to promote Datadog's security solutions.

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 health. 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 its 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 maintaining optimal performance and security of their IT infrastructure, regardless of their size or industry.

Company Stage

IPO

Total Funding

$147.9M

Headquarters

New York City, New York

Founded

2010

Growth & Insights
Headcount

6 month growth

13%

1 year growth

17%

2 year growth

46%
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.
INACTIVE