Senior Product Manager, AI Platform & Triage

Corelight is entering a new phase where AI transforms network telemetry into actionable intelligence for modern Security Operations Centers (SOCs). As the Senior Product Manager for our AI Product Team (Knowledge, Context & Ecosystem), you will define the strategy and roadmap for the Knowledge Layer that powers Corelight's next generation of AI-driven security products.

This is a highly strategic product leadership role at the intersection of AI, cybersecurity, and enterprise data. You'll shape how security context is collected, enriched, and delivered, enabling both human analysts and AI agents to investigate threats with greater speed, accuracy, and confidence. Working closely with Engineering, Design, and customers, you'll translate complex security workflows into intuitive, scalable product capabilities while influencing the long-term direction of Corelight's AI platform.

Success in this role requires exceptional product judgment, strong technical curiosity, and the ability to bring together engineering, customer insight, and business strategy to deliver products that solve meaningful problems for security teams.

What You'll Do

• 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 Corelight’s data enrichment and knowledge capabilities.
• Lead the 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 and uncover meaningful operational needs.
• Translate customer and market insights into clear product requirements, user stories, and prioritized roadmaps that enable Engineering to deliver high-quality solutions.
• Define success metrics and reporting frameworks that help customers evaluate detection quality, operational efficiency, and security outcomes.
• Partner with UX, Marketing, Sales, Customer Success, and other cross-functional teams to successfully launch, position, and drive adoption of new capabilities.
• Evaluate emerging AI technologies, evolving security workflows, and market trends to help shape the future direction of Corelight’s AI platform and Knowledge Layer.

What You'll Bring

• 3+ years of experience as a Product Manager or Product Owner with a track record of owning product strategy, roadmap execution, and customer discovery for enterprise SaaS products.
• 5+ years of experience in cybersecurity, with exposure to Security Operations Centers (SOC), network security, asset intelligence, data enrichment, or related technologies.
• Experience building or managing complex, technical products in AI, cybersecurity, data platforms, or another enterprise software domain.
• 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, evaluate tradeoffs, and deliver products through Agile development processes.
• Familiarity with APIs, integrations, and enterprise security ecosystems, including technologies such as EDR, IAM, and CMDB platforms.
• Strong product judgment with the ability to balance customer needs, technical complexity, and business priorities when making product decisions.
• Excellent communication skills with the ability to influence engineers, executives, customers, and cross-functional stakeholders.

Preferred Qualifications

• Experience building products for enterprise security teams or other highly technical users.
• Familiarity with data analytics infrastructure, knowledge management, or knowledge graph concepts.
• Bachelor's degree in Computer Science, Engineering, Cybersecurity, or a related technical field, or equivalent practical experience.