Cato Networks

Product Manager - XDR & Observability

Cato Networks  •  State of Israel (Onsite)  •  3 months ago
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Job Description

Welcome to the future of cloud networking and security!

Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeem, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028.

This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it!

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.
Cato Networks

About Cato Networks

Cato provides a world-leading single-vendor SASE platform. Cato creates a seamless and elegant customer experience that effortlessly enables threat prevention, data protection, and timely incident detection and response. Using Cato, businesses easily replace costly and rigid legacy infrastructure with an open and modular SASE architecture based on SD-WAN, a purpose-built global cloud network, and an embedded cloud-native security stack to secure and optimize their global hybrid workforce and mission-critical applications and data on premises and in the cloud. With Cato, any organization can reap the full benefits of digital transformation and move at the speed of business.

Industry
IT & Software
Company Size
1,001-5,000 employees
Headquarters
Tel-Aviv, IL
Year Founded
2015
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