Senior Product Manager - Data Security

As a Senior Product Manager for AI & Data Security at Datadog, you will define and deliver capabilities that help organizations securely adopt and scale AI across their applications and infrastructure. You’ll focus on building products that provide visibility into AI systems and data usage, assess security posture, and enable teams to manage risk across the AI lifecycle. This role sits at the intersection of security, AI, and cloud platforms, and is ideal for a PM who thrives in emerging, ambiguous problem spaces. You will work cross-functionally to shape how customers discover, understand, and secure AI-powered systems in production. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Own and drive the roadmap for AI & Data Security capabilities, including data security posture management and data loss prevention - Define how customers assess and manage the security posture of AI systems, including risks related to configuration, data exposure, and policy compliance - Partner with engineering and design to deliver end-to-end product capabilities, from concept through launch and iteration - Collaborate with security research teams to identify emerging risks in AI systems and translate them into actionable product features - Engage with customers to understand AI adoption patterns and validate solutions that enable secure, scalable operations - Define and track success metrics such as product adoption, usage, and impact on customer security workflows Who You Are: - 5+ years of product management experience building technical products in areas such as security, AI, data, cloud infrastructure, or developer platforms - Strong understanding of modern cloud environments, application architectures, and the fundamentals of generative AI systems - Interest in the security challenges introduced by AI and machine learning systems, particularly in production environments - Comfortable working closely with engineers and discussing technical design, tradeoffs, and implementation details - Experience engaging with customers and using their feedback to inform product decisions and prioritization - Ability to navigate ambiguity and translate complex problem spaces into clear product direction and execution Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: - Generous and competitive benefits package - New hire stock equity (RSUs) and employee stock purchase plan - Continuous career development and pathing opportunities - Employee-focused best in class onboarding - Internal mentor and cross-departmental buddy program - Friendly and inclusive workplace culture Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

5+ years of product management experience building technical products in areas such as security, AI, data, cloud infrastructure, or developer platforms. Strong understanding of modern cloud environments, application architectures, and the fundamentals of generative AI systems. Interest in the security challenges introduced by AI and machine learning systems, particularly in production environments. Comfortable working closely with engineers and discussing technical design, tradeoffs, and implementation details. Experience engaging with customers and using their feedback to inform product decisions and prioritization. Ability to navigate ambiguity and translate complex problem spaces into clear product direction and execution.

Own and drive the roadmap for AI & Data Security capabilities, including data security posture management and data loss prevention. Define how customers assess and manage the security posture of AI systems, including risks related to configuration, data exposure, and policy compliance. Partner with engineering and design to deliver end-to-end product capabilities, from concept through launch and iteration. Collaborate with security research teams to identify emerging risks in AI systems and translate them into actionable product features. Engage with customers to understand AI adoption patterns and validate solutions that enable secure, scalable operations. Define and track success metrics such as product adoption, usage, and impact on customer security workflows.