Full-Time

Principal Sales Engineer

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

$142k - $208kAnnually

+ Variable Compensation

Senior, Expert

Massachusetts, USA

Hybrid workplace; in-office presence required.

Category
Sales Engineering
Sales & Solution Engineering
Required Skills
PHP
Python
Node.js
Ruby
Java
.NET
Go
Requirements
  • Minimum of 7+ years in Sales Engineering or experience as a Chief Technology Officer deploying observability & security technology.
  • Strong entrepreneurial ability and desire to make a large impact.
  • Passionate about educating customers on observability and security risks that are meaningful to their business.
  • Knowledge and understanding of the competitive landscape (Solutions capabilities and offerings).
  • Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
  • Extensive background in Enterprise positioning and line of business value selling.
  • Able to travel via auto, train or air up to 40% of the time.
Responsibilities
  • Develop and maintain a strong knowledge of Datadog's product offerings, observability trends, common architectures, and provide guidance to prospective customers and internal sales teams.
  • Contribute to the success of strategic sales opportunities by closely collaborating with the account team to devise and enrich sales strategies, offer industry expertise, and provide mentorship throughout the sales lifecycle.
  • Contribute to and deliver tailored customer demos, executive briefings and product training sessions as needed, ensuring prospective customers have a comprehensive understanding of our offerings.
  • Contributes use cases, best practices, trends, and product positioning to Datadog sales strategy.
  • Contributes to development of strategy for entering new markets.
  • Works alongside account teams to build relationships with customers (CIO, CTO, Architects, Technical staff, and business representatives) as they begin their observability modernisation with Datadog.
  • Proactively engage and communicate with customers and Datadog product, sales, and sales engineering 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 analyze performance metrics, detect security threats, and ensure that applications run smoothly. Unlike many competitors, Datadog offers a wide range of monitoring solutions that cater to specific needs such as cloud migration, DevOps practices, and IoT monitoring, all within a single platform. The company's goal is to help businesses maintain efficient and secure IT operations through comprehensive monitoring and analytics.

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

  • Growing demand for cloud-native solutions boosts Datadog's adoption.
  • AI-driven observability tools align with Datadog's recent AI-focused offerings.
  • IoT market expansion presents opportunities for Datadog's monitoring services.

What critics are saying

  • Increased competition from new entrants like Honeycomb and Grafana Labs.
  • Potential over-reliance on AWS could pose risks during outages.
  • New privacy regulations may increase compliance costs for Datadog.

What makes Datadog unique

  • Datadog offers comprehensive monitoring across servers, containers, and databases.
  • Their LLM Observability module supports monitoring of generative AI applications.
  • Datadog's Kubernetes Active Remediation provides end-to-end management of Kubernetes environments.

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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