Senior Product Manager -- AI Product Team

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. Knowledge/Skills/Abilities needed to be successful: AI & LLM Workflows: Solid understanding of automated AI assistants, LLM integration patterns, prompting workflows, and technical knowledge representation. SOC Domain Knowledge: Strong understanding of standard Security Operations Center processes, alert triage, threat hunting, and validation workflows. Network Security Foundations: Familiarity with network visibility metrics, network telemetry collections (like IDS/NSM), and baseline protocols. Integration & API Familiarity: Understanding of how data contracts and schemas integrate across security tooling environments (EDR, IAM, CMDB). Structured Product Discovery: Ability to perform continuous customer discovery and translate qualitative feedback into data-backed

requirements. Policy & Compliance Mapping: Experience translating corporate security guidelines and user permissions into functional software controls. Agile Product Management: Competency managing feature lifecycles, sprint plans, and release cycles in an active Agile/Scrum framework. Cross-Functional Collaboration: Proven ability to build consensus and drive projects forward across Engineering, UX Design, Marketing, and Sales. Stakeholder Communication: Strong written and verbal skills to articulate product updates and technical tradeoffs clearly to enterprise customers and CISOs. User-Centric Focus: A practical commitment to reducing user friction and designing features that ease the day-to-day work of security analysts.

Qualifications/

Requirements: Cybersecurity Experience: 5+ years of experience in cybersecurity, with a focus on asset intelligence, data enrichment, or SOC operations engineering. Product Management Track Record: 3+ years of direct experience as a Product Manager or Product Owner, with clear success using data-driven workflows and customer discovery. Enterprise Engagement Exposure: Proven background interacting directly with corporate IT and security leadership (CISOs, SOC managers, compliance teams). SaaS Tech Familiarity: Hands-on experience working with AI tool setups, data policy controls, or shipping multi-tenant cloud-based SaaS security products. Education: Bachelor's degree in Computer Science, Engineering, Cybersecurity, or a related technical field (or equivalent practical enterprise experience). Preferred Assets: Prior experience as a Product Owner in an Agile/Scrum setup; familiarity with data analytics infrastructure; comfort using OpenAPI specifications to understand backend endpoints. Notice of Pay Transparency: The

compensation for this position may vary depending on factors such as your location, skills and experience. Depending on the nature and seniority of

the role, a percentage of

compensation may come in the form of a commission-based or discretionary

bonus. Equity and additional

benefits will also be awarded.

Compensation Range $130,000 — $179,000 USD

Why Join Us? Fueled by investments from top-tier venture capital organizations such as Crowdstrike, Accel and Insight, Corelight is one of the fastest growing network detection and response platforms in the industry. Our passionate team thrives in a collaborative, inclusive, and geographically distributed culture. We embrace diverse perspectives, neurodiversity, curiosity and low ego results - fostering an environment where every innovator can solve the toughest challenges in cybersecurity and contribute their best work. We are looking forward to meeting you. Check us out at www.corelight.com

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