About Datadog, Inc.

HR, IT, Operations, Marketing, Sales, Finance Jobs at Datadog

Datadog Inc. is a publicly traded cloud monitoring and security company (Nasdaq: DDOG) founded in 2010 by Olivier Pomel and Alexis Lê-Quôc, with its registered headquarters at 620 8th Avenue, 45th Floor, New York City, confirmed by its February 2026 SEC filing. The company provides a SaaS-based observability and security platform that enables engineering, operations, and security teams to monitor infrastructure, applications, logs, and networks across cloud-scale environments -- integrating with providers including AWS, Microsoft Azure, Google Cloud Platform, Kubernetes, and OpenTelemetry, and serving clients across financial services, healthcare, retail, technology, manufacturing, and government sectors. Datadog operates 16 global offices across six continents, with key locations in Boston, Denver, San Francisco, Paris, Dublin, Amsterdam, London, Madrid, Lisbon, Bengaluru, Singapore, Tokyo, Seoul, Mexico City, and Sydney -- supporting a hybrid work model where employees combine remote and in-office schedules. The company reported trailing twelve-month revenue of approximately $3.43 billion as of December 2025, with a market capitalization of approximately $44.1 billion as of March 2026. Headcount figures vary across sources -- PitchBook places the figure at approximately 8,100 employees, Tracxn's February 2026 data at approximately 9,713, and Wikipedia cites approximately 6,500 as of 2024 -- with PitchBook and Tracxn representing the most current independent estimates. Engineering and Research & Development consistently carry the highest volume of open roles, as reflected in Datadog's own SEC-reported R&D headcount being the largest cost center, followed by active hiring in Sales and Marketing, Customer Success, Product Management, Solutions Engineering, Finance, Legal, and People & HR. This page lists the latest job openings at Datadog, offering professionals an opportunity to contribute to the advancement of cloud observability, security monitoring, and AI-driven infrastructure analytics at a globally scaled public technology company.