Product Manager - XDR & Observability

Cato is seeking a Product Manager to define and build the intelligence layer of our SASE platform. You will own how Cato converts unified network and security telemetry into high-confidence detections, actionable insights, and automated response workflows for SOC and IT teams.

Your mission is to reduce noise, shorten investigations, and progressively automate remediation by leveraging cross-domain data correlation, scalable analytics, and AI-driven investigation and response capabilities. You will help shift customers from fragmented monitoring to an integrated, intelligence-driven security and operations experience. 

Responsibilities:

• Define and own the vision and roadmap for Cato’s data-driven security and operational intelligence platform.
• Deliver meaningful observability and actionability outcomes across security and network products reducing alert fatigue and accelerating time-to-detection and remediation.
• Lead development of AI-driven investigation and automation features that streamline triage, support root-cause analysis, and enable controlled response workflows. 
• Drive cross-domain data correlation strategies that unify network, security, endpoint, and application telemetry into clear, actionable insights.
• Partner closely with Engineering, Data, and Security research teams to bring scalable analytics and intelligent automation to production.
• Engage directly with customers and field teams to deeply understand SOC and IT pain points, validate priorities, and ensure measurable customer impact. 

 
Requirements:

• 4+ years of B2B product management experience in cybersecurity, SIEM, XDR, observability, or IT operations platforms. 
• Cross functional work with mutliple teams across R&D, Marketing, Sales, Customer Success
• Hands-on familiarity with SOC workflows, including alert triage, investigation processes, and detection quality tradeoffs (e.g., false positives, precision/recall, MTTD/MTTR).
• Experience building or managing products powered by high-volume event data, analytics pipelines, or real-time telemetry systems.
• Background in AI/ML-driven insights, automation frameworks, or workflow automation using AI agents is a strong advantage.
• Technical fluency in networking and security concepts (SASE, SD-WAN, ZTNA) is a plus.
• A strategic thinker who can translate complex data systems into clear customer value and operational outcomes.