Datadog
Datadog

60 Datadog Security Analyst Jobs Hiring Near You

Director, Product Management - Security

New York, NY · Hybrid

$254.90K - $266.90K/yr

About Datadog: We're on a mission to build the best platform in the world to defend the enterprise ... Analyze and develop pricing and packaging strategies to maximize revenue through attaching deep ...

... analysis and identity-to-resource mapping within Datadog's security graph. You will partner with engineers, designers, and go-to-market teams to define this new product area and drive customer ...

Billing Operations Analyst

Denver, CO · On-site

$71K - $103K/yr

We are seeking a Billing Operations Analyst to join our growing Finance team at Datadog. As a ... Datadog is the leading observability and security platform for the AI era, providing businesses ...

Datadog is seeking an Analyst Relations Principal to help shape and scale our global Analyst ... Datadog is the leading observability and security platform for the AI era, providing businesses ...

Senior Procurement Analyst

New York, NY · On-site

$89K - $130K/yr

Datadog is seeking a highly motivated Senior Procurement Analyst with strong contracts management ... Datadog is the leading observability and security platform for the AI era, providing businesses ...

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Datadog Jobs Information

What are the key skills and qualifications needed to thrive as a Security Analyst, and why are they important?

To thrive as a Security Analyst, you need a solid understanding of cybersecurity principles, risk assessment, and network security, often backed by a degree in computer science or a related field. Familiarity with tools like SIEM platforms, intrusion detection systems, and certifications such as CompTIA Security+ or CISSP are commonly required. Analytical thinking, attention to detail, and strong problem-solving abilities help Security Analysts excel in identifying vulnerabilities and responding to threats. These skills are crucial for protecting organizational assets, ensuring compliance, and maintaining a robust security posture.

What are some common challenges Security Analysts face when responding to security incidents, and how can they effectively manage these situations?

Security Analysts often encounter challenges such as rapidly evolving threats, the need to analyze large volumes of data, and coordinating responses across different teams. Responding quickly while accurately diagnosing incidents requires excellent technical skills and clear communication. To manage these situations effectively, successful analysts prioritize continuous learning, use automation tools to streamline repetitive tasks, and establish well-defined incident response procedures. Collaborating with IT, legal, and management teams is also crucial for a coordinated and effective response.

What are Security Analysts?

Security Analysts are professionals responsible for protecting an organization’s computer systems and networks from cyber threats. They monitor networks for security breaches, investigate suspicious activities, and implement security measures to prevent future attacks. Security Analysts also conduct vulnerability assessments, respond to incidents, and ensure compliance with security policies and regulations. Their work helps safeguard sensitive data and maintain the integrity of information systems.

What is the difference between Security Analyst vs Network Security Analyst?

AspectSecurity AnalystNetwork Security Analyst
CertificationsCompTIA Security+, CISSP, CEHCompTIA Security+, CISSP, Cisco CCNA Security
Work EnvironmentIT security teams, cybersecurity firms, corporate securityNetwork operations centers, IT departments, cybersecurity teams
ResponsibilitiesMonitor security systems, analyze threats, implement security measuresSecure network infrastructure, monitor network traffic, prevent intrusions

Security Analysts focus on overall cybersecurity, including threat detection and incident response, while Network Security Analysts specialize in protecting network infrastructure and traffic. Both roles require similar certifications and often work in overlapping environments, but their core responsibilities differ in scope and focus.

What is it like to work at Datadog?

Datadog is a fast-paced and collaborative company that prioritizes innovation and customer satisfaction, fostering a culture of experimentation and continuous improvement.

The company's engineering teams are organized around product areas, allowing for a high degree of autonomy and flexibility in project work, while also promoting cross-functional collaboration and knowledge sharing. Datadog's offices are designed to be open and welcoming, with amenities such as game rooms, fitness centers, and on-site cafes.

Working at Datadog may appeal to candidates who value a dynamic and entrepreneurial work environment, with opportunities to contribute to the development of cutting-edge monitoring and analytics tools that help organizations improve their digital infrastructure and services.
Infographic showing various Security Analyst job openings at Datadog in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 94% Physical, 4% Hybrid, and 2% Remote job distribution.
Product Manager II - Security Graph Foundations

Product Manager II - Security Graph Foundations

Datadog

New York, NY

Other

Posted 22 hours ago


Job description

As a Product Manager for Security Graph Foundations you'll be responsible for the shared graph platform that powers Datadog's security intelligence across Cloud Security, Cloud SIEM, Application Security, and Workload Protection. Datadog's security graph connects identities, resources, findings, and signals into a unified model of risk, enabling security teams to understand not just what is happening but what it means for their entire environment. This role sits at the center of that platform: owning the infrastructure, data model, and cross-product capabilities that let every Datadog security product ask and answer graph-powered questions. You will partner with engineers across multiple platform teams and serve as the connective tissue between security graph infrastructure and the security product teams building on top of it.

What You'll Do: 

  • Define and build the roadmap for Security Graph Foundations, the shared platform connecting security data across Cloud Security, Cloud SIEM, Application Security, and Workload Protection.
  • Drive execution of security graph infrastructure investments, aligning platform team dependencies to clear milestones and timelines.
  • Work closely with executives, marketing, sales, PR, design, and support teams to successfully bring new products and features to market.
  • Develop a deep understanding of the market landscape and identify key areas of competitive differentiation and market disruption.
  • Maintain and report to product leadership on key metrics regarding platform adoption and customer value.
  • Partner with security product PMs and customers to define and expand cross-product graph use cases that surface risk and context across cloud, code, SIEM, workload protection, and application security.
  • Partner with the security graph intelligence team to define what data belongs in the graph, how it is modeled, and how platform capabilities are shared across product teams.

Who You Are: 

  • Minimum 3+ years in enterprise software, with a preference for security or data platform background.
  • Committed to high-quality products and customer satisfaction.
  • Excellent verbal and written communication, capable of presenting ideas to technical and executive stakeholders.
  • Comfortable driving execution across complex, multi-team dependencies while maintaining a clear product strategy and prioritization framework.
  • Prior engineering experience or deep understanding of graph data modeling, data pipelines, or platform infrastructure, including how to decide what becomes a graph edge, an attribute, or a connector.
  • Familiarity with security domains across cloud, code, SIEM, and workload protection, enough to credibly partner with product teams on what belongs in the graph and why.
  • Regularly uses LLM-based tools like Claude Code and Cursor to accelerate your work, from drafting PRDs and analyzing data to researching markets and prototyping ideas.
  • Driven to build and scale new products in a high-growth environment.
  • Demonstrates strong ownership, data-driven problem-solving, and prioritization skills.