As a Product Manager for Security Graph Experience, you'll help security teams understand how their cloud environments are interconnected, and how attackers can exploit and move through them. Datadog's security graph connects identities, resources, findings, and signals into a unified risk model; this role owns the layer that makes it comprehensible and actionable. You'll help teams answer questions like "what does this finding affect?" and "how would an attacker move from here?" so they can act immediately. You'll partner closely with platform teams, other security product teams, and design to translate a powerful but complex data model into clear, actionable insights. This role sits at the intersection of security expertise and product craft.
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
- Define and build the roadmap, the query, exploration, and visualization layer that security teams use to investigate risk across cloud, code, SIEM, and workload.
- Design the query and filter model that lets analysts ask arbitrary graph questions without needing to understand the underlying data model.
- Drive the cross-product entry points into the graph, so that alerts, findings, and vulnerabilities across Cloud Security, SIEM, and Application Security all link into unified graph context naturally.
- Work closely with executives, marketing, sales, design, and support teams to successfully bring new graph-powered experiences to market.
- Develop a deep understanding of the security analyst workflow and identify where graph context changes the speed and quality of investigation decisions.
- Maintain and report to product leadership on key metrics around graph feature adoption, investigation depth, and time-to-context.
- Partner with the Security Graph Foundations PM to shape the data model and platform capabilities based on what the visualization layer needs to render correctly and performantly.
- Partner with customers directly to test graph UI concepts, validate investigation workflows, and understand where complexity becomes a blocker.
Who You Are:
- Minimum 3+ years in enterprise software, with direct experience in security products (e.g., cloud security, SIEM, vulnerability management, or workload protection).
- Committed to product craft: you care as much about how something feels to use as whether it is technically correct.
- Excellent verbal and written communication, capable of presenting product decisions to engineers, designers, and executives with equal clarity.
- Comfortable navigating complex backend data models and translating them into UI surfaces that hide complexity without hiding information.
- Familiarity with graph data concepts (nodes, edges, traversal, path queries) at a level sufficient to collaborate with engineers building backend graphing systems.
- Understands security investigation workflows well enough to know what context an analyst needs and in what order.
- Strong design sensibility: you have worked closely with designers before and have opinions about when a visualization helps versus overwhelms.
- Regularly uses LLM-based tools like Claude Code and Cursor to accelerate your work, from drafting PRDs and analyzing data to prototyping interaction concepts.
- Driven to build products in a high-growth environment where the surface you own is a core differentiator.
- Demonstrates strong ownership, a bias toward shipping, and clear prioritization when the design space is wide open.
Datadog values people from all walks of life. We know 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 experience, we encourage you to apply.
Benefits & Growth:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intra-departmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds
- Access to Inclusion Talks, our Internal panel discussions
- Free, global Spring Health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
The reasonably estimated yearly salary for this role at Datadog is:$192,000—$240,000 USDAbout 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.
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