Note: The job is a remote job and is open to candidates in USA. Corelight defends the world's most sensitive networks, and they are seeking a Senior Product Manager for the AI Product Team. The role involves owning the data enrichment layer that supports both human analysts and automated AI tools, integrating context from various systems to enhance security operations.
Responsibilities
- Manage the Knowledge Layer Roadmap: Define and execute the product roadmap for our security context engine, ensuring contextual data supports human and automated workflows
- Develop AI & Automated Workflows: Build out data-delivery capabilities that support LLM-powered security workflows, enabling automated tools to assist in reliable triage outcomes
- Design Alert Prioritization Engines: Create customizable data-prioritization engines with robust defaults, giving enterprise teams granular control over their alert telemetry
- Build Ecosystem & Partner Integrations: Lead integration strategies across external security tools to pull context from EDR, CMDB, and IAM infrastructure
- Conduct Customer Discovery Loops: Work closely with SOC Managers, CISOs, and security teams to validate policy workflows and ensure the data layer maps to real operational needs
- Author Functional Technical Requirements: Write clear Product Requirement Documents (PRDs) and user stories, collaborating with Engineering and UX teams to deliver scalable SaaS solutions
- Deliver Operational & Executive Reporting: Design dashboards and tracking frameworks that help SOC leadership evaluate detection accuracy and regulatory compliance
Skills
- 5+ years of experience in cybersecurity, with a focus on asset intelligence, data enrichment, or SOC operations engineering
- 3+ years of direct experience as a Product Manager or Product Owner, with clear success using data-driven workflows and customer discovery
- Proven background interacting directly with corporate IT and security leadership (CISOs, SOC managers, compliance teams)
- Hands-on experience working with AI tool setups, data policy controls, or shipping multi-tenant cloud-based SaaS security products
- Bachelor's degree in Computer Science, Engineering, Cybersecurity, or a related technical field (or equivalent practical enterprise experience)
- Solid understanding of automated AI assistants, LLM integration patterns, prompting workflows, and technical knowledge representation
- Strong understanding of standard Security Operations Center processes, alert triage, threat hunting, and validation workflows
- Familiarity with network visibility metrics, network telemetry collections (like IDS/NSM), and baseline protocols
- Understanding of how data contracts and schemas integrate across security tooling environments (EDR, IAM, CMDB)
- Ability to perform continuous customer discovery and translate qualitative feedback into data-backed requirements
- Experience translating corporate security guidelines and user permissions into functional software controls
- Competency managing feature lifecycles, sprint plans, and release cycles in an active Agile/Scrum framework
- Proven ability to build consensus and drive projects forward across Engineering, UX Design, Marketing, and Sales
- Strong written and verbal skills to articulate product updates and technical tradeoffs clearly to enterprise customers and CISOs
- A practical commitment to reducing user friction and designing features that ease the day-to-day work of security analysts
- Prior experience as a Product Owner in an Agile/Scrum setup
- Familiarity with data analytics infrastructure
- Comfort using OpenAPI specifications to understand backend endpoints
Benefits
- A percentage of compensation may come in the form of a commission-based or discretionary bonus
- Equity and additional benefits will also be awarded
- Collaborative, inclusive, and geographically distributed culture
- We embrace diverse perspectives, neurodiversity, curiosity and low ego results
Company Overview
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