Full-Time

Enterprise Sales Engineer

New England

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

Compensation Overview

$121k - $142kAnnually

Mid

Maine, USA + 1 more

More locations: Massachusetts, USA

Hybrid workplace; requires some in-office presence.

Category
Sales & Account Management
Sales Engineering
Sales & Solution Engineering
Required Skills
PHP
Kubernetes
Microsoft Azure
Python
Node.js
Ruby
Java
.NET
AWS
Go
Google Cloud Platform
Requirements
  • A strategic technical seller with an innate ability to connect Datadog’s capabilities with customer pain points, adept at communicating Datadog’s value in both business and technical terms
  • Skilled at understanding and translating customer needs into a clear evaluation plan that demonstrates the ROI of Datadog solutions
  • Strong written and oral communicator, effective at articulating both the technical merits and strategic business value of our solutions to diverse stakeholders
  • Experienced in programming/scripting with one or more of the following: Java, Python, Ruby, Go, Node.JS, PHP, .NET, etc.
  • Proficient with containerization tools such as Kubernetes, and experienced with cloud providers (e.g., AWS, GCP, Azure)
  • Bringing 3+ years in Sales Engineering, preferably with enterprise experience
  • Able to travel up to 45% of the time to engage with customers and build face-to-face relationships
  • Eager to learn, innovate, and contribute to a fast-paced, collaborative team environment
Responsibilities
  • Collaborate closely with Sales to communicate Datadog’s value proposition and business impact, leading customer engagements that showcase Datadog as a driver of strategic outcomes
  • Engage with customers during trials, guiding them through tailored evaluations that emphasize measurable value and address both executive priorities and hands-on technical requirements
  • Demonstrate strong strategic selling skills, mapping Datadog’s solutions to customer objectives and quantifiable business results, establishing Datadog as a long-term partner
  • Close complex enterprise opportunities by leveraging your advanced technical expertise and market knowledge, differentiating Datadog from competitors
  • Deliver compelling, tailored technical and product briefings that address high-level enterprise needs and translate technical capabilities into business benefits
  • Actively document customer insights, wins, and losses in CRM to support Datadog’s continuous improvement and contribute product feedback for ongoing competitive advantage
  • Stay engaged with internal teams and customer stakeholders on evolving needs and competitive positioning to ensure Datadog remains aligned with enterprise market demands

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

$147.9M

Headquarters

New York City, New York

Founded

2010

Growth & Insights
Headcount

6 month growth

16%

1 year growth

29%

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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