Product Manager II

What You'll Do

• Define and build the roadmap for 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 cross-product entry points into the graph so that alerts, findings, and vulnerabilities across Cloud Security, SIEM, and Application Security link into unified graph context.
• Work closely with executives, marketing, sales, design, and support teams to bring new graph-powered experiences to market.
• Develop a deep understanding of the security analyst workflow and identify where graph context improves investigation speed and quality.
• Maintain and report 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.
• Partner with customers to test graph UI concepts, validate investigation workflows, and identify complexity blockers.

Who You Are

• Minimum 3+ years in enterprise software with direct experience in security products (cloud security, SIEM, vulnerability management, or workload protection).
• Committed to product craft with equal focus on usability and technical correctness.
• Excellent verbal and written communication skills, able to present to engineers, designers, and executives.
• Comfortable navigating complex backend data models and translating them into intuitive UI surfaces.
• Familiarity with graph data concepts (nodes, edges, traversal, path queries).
• Strong understanding of security investigation workflows.
• Strong design sensibility and experience working closely with designers.
• Regularly uses LLM-based tools like Claude Code and Cursor to accelerate work (drafting PRDs, analyzing data, prototyping).
• Driven to build products in a high-growth environment where the owned surface is a core differentiator.
• Strong ownership, bias toward shipping, and clear prioritization.

Nice-to-Haves

• Experience with graph visualizations that avoid overwhelming users while providing necessary context.