Jobs at Datadog

Positions 16,234

Datadog, founded in 2010 and headquartered in New York, is a leading cloud‑monitoring and observability platform that helps enterprises track metrics, logs, and traces across distributed systems. The company powers real‑time analytics for over 10,000 customers, from startups to Fortune 500 firms, and is known for its deep integrations with cloud providers like AWS, Azure, and GCP.

Datadog hires across a wide spectrum of roles, including Software Engineers (Go, Python, Java), Platform Engineers, Data Scientists, Sales Engineers, Customer Success Managers, Marketing Specialists, and Finance & HR professionals. Candidates can expect a collaborative, fast‑paced environment that rewards ownership, offers remote or hybrid options, and provides quarterly OKR alignment and continuous learning opportunities such as internal tech talks and conference sponsorships.

Checking Datadog listings on Job Transparency gives you a clear view of exact salary ranges, benefits, and employee sentiment scores. This data helps you benchmark compensation against industry averages, assess team culture from real reviews, and identify which locations or teams offer the best fit for your career goals.

Director, Office Operations

Company: Datadog

Location: New York, NY

Posted Jan 24, 2025

Datadog is seeking a Director of Office Operations to lead and manage operations for its growing global offices. The role involves providing operational support, enhancing teamwork, and ensuring a positive, inclusive work environment. The ideal candidate should have extensive experience in managing rapid company growth, people management, and problem-solving skills. Datadog values a collaborative and dynamic work environment, offering continuous career development, competitive benefits, and a people-first culture.

Director, Channels and Alliances, Public Sector

Company: Datadog

Location: Remote

Posted Jan 24, 2025

Datadog is seeking a Director of Channels & Alliances to drive incremental revenue by building and scaling a US Federal and SLED partner community. The role involves hiring, developing, and managing a high-performing team, recruiting new partners, accelerating existing partner business, collaborating with sales and marketing teams, and serving as an executive sponsor for key partnerships. The ideal candidate should have 5+ years of leadership experience in the US Public Sector, 10+ years in business development or channel sales at a cloud services or SaaS organization, and excellent communication skills.

Staff Software Engineer, Security Research

Company: Datadog

Location: New York, NY

Posted Jan 24, 2025

Datadog's Security Research Organization is seeking a Staff Software Engineer to lead critical research initiatives, own delivery of systems, and design large cross-org projects. The role involves working with modern coding languages in a microservice-oriented, multi-cloud environment. The ideal candidate will have experience in cybersecurity use cases, especially in threat detection, intelligence, and hunting. Datadog values a hybrid workplace culture, offering competitive benefits, professional development, and a collaborative environment.

Staff Security Engineer (EMEA)

Company: Datadog

Location: Paris, France

Posted Jan 24, 2025

Manager I, Engineering - Metrics Alerting

Company: Datadog

Location: New York, NY

Posted Jan 24, 2025

The Engineering Manager on the Metrics Alerting team will lead a team of software engineers, responsible for the reliable scheduling and execution of critical infrastructure monitoring queries. The role involves managing team growth, technical leadership, and collaboration with other engineering and product leaders. Datadog values a hybrid workplace culture, offering comprehensive benefits including stock equity, professional development, and mental health support. The estimated annual salary is between $187,000 and $240,000 USD.

Manager I, Engineering - Fabric Gateways (Lisbon)

Company: Datadog

Location: Dublin, Ireland / Remote

Posted Jan 24, 2025

Software Engineer - Production Platform

Company: Datadog

Location: Boston, MA / Remote

Posted Jan 24, 2025

Commercial Sales Engineer - Brazil

Company: Datadog

Location: Barra do Garças, Brazil

Posted Jan 24, 2025

Mid Market Account Executive

Company: Datadog

Location: Bangalore, India

Posted Jan 24, 2025

Datadog is seeking a Mid-Market Account Executive to drive business growth by acquiring net-new customers across mid-to-large size markets. The role involves strategically engaging with CTOs, Engineering/IT Leaders, and technical end users, leveraging tools like Sales Navigator and DiscoverOrg. The ideal candidate should have 4 years of experience in hunting and closing net new logos, outbound pipeline generation, and account mapping. Datadog values a hybrid workplace culture, offering high income earning opportunities, continuous professional development, and an inclusive environment. The company is committed to equal opportunity and diversity.

Frequently Asked Questions

What is it like to work at Datadog?
Working at Datadog means engaging with cutting‑edge observability technology while collaborating in a high‑growth, data‑driven culture. Employees enjoy flexible remote options, quarterly OKRs that focus on real impact, and a strong emphasis on continuous learning through internal workshops and conference travel grants.
What types of positions are available at Datadog?
Datadog offers roles in Engineering (Software, Platform, Data), Sales & Marketing, Customer Success, Product Management, Finance, HR, and Operations. Technical hires work with Go, Python, and Kubernetes, while non‑technical roles focus on client engagement, product strategy, and business operations.
How can I stand out as an applicant for Datadog?
Tailor your resume to highlight specific observability or cloud‑monitoring projects, quantify performance improvements, and showcase contributions to open‑source tools. Prepare for the technical interview by practicing coding challenges in Go or Python, understanding distributed tracing concepts, and demonstrating how you drive metrics to solve real‑world problems.

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