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Corelight defends the world's most sensitive networks—from global commerce to national defense—by transforming digital footprints from physical, virtual, and cloud networks into actionable security insights. The company is entering a new phase where AI transforms network telemetry into actionable intelligence for modern Security Operations Centers (SOCs).
As Senior Product Manager for the AI Product Team (Knowledge, Context & Ecosystem), you will define the strategy and roadmap for the Knowledge Layer that powers Corelight's next-generation AI-driven security products. This is a highly strategic product leadership role at the intersection of AI, cybersecurity, and enterprise data.
Key responsibilities include:
- Own the strategy and roadmap for Corelight's Knowledge Layer, ensuring contextual intelligence supports both human analysts and AI-powered security workflows
- Define how AI-powered investigations leverage contextual data by driving the evolution of data enrichment and knowledge capabilities
- Lead strategy for alert prioritization and data correlation, giving enterprise customers meaningful control while maintaining strong out-of-the-box experiences
- Partner closely with Engineering and Architecture to evaluate technical tradeoffs and deliver scalable, enterprise-grade product capabilities
- Define and prioritize integrations across the security ecosystem, including EDR, CMDB, IAM, and other enterprise platforms
- Conduct continuous customer discovery with SOC analysts, SOC managers, CISOs, and security teams to validate product direction
- Translate customer and market insights into clear product requirements, user stories, and prioritized roadmaps
- Define success metrics and reporting frameworks that help customers evaluate detection quality and security outcomes
- Partner with UX, Marketing, Sales, Customer Success, and cross-functional teams to launch and drive adoption of new capabilities
- Evaluate emerging AI technologies, evolving security workflows, and market trends to shape the future direction of the AI platform
Required qualifications:
- 3+ years as a Product Manager or Product Owner with track record of owning product strategy, roadmap execution, and customer discovery for enterprise SaaS
- 5+ years in cybersecurity with exposure to SOCs, network security, asset intelligence, data enrichment, or related technologies
- Experience building or managing complex, technical products in AI, cybersecurity, data platforms, or enterprise software
- Strong understanding of AI assistants, LLM-powered workflows, retrieval-augmented generation (RAG), and how contextual data enables effective AI experiences
- Experience partnering with Engineering to define technical requirements and deliver products through Agile processes
- Familiarity with APIs, integrations, and enterprise security ecosystems (EDR, IAM, CMDB)
- Strong product judgment and excellent communication skills to influence engineers, executives, and stakeholders
Preferred: experience building products for enterprise security teams, familiarity with data analytics infrastructure or knowledge graphs, Bachelor's degree in Computer Science, Engineering, Cybersecurity, or related field.
