Product Manager - Data Security

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, Exabeam, 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!

Data is at the heart of every business—and as AI changes how organizations use it, protecting and governing that data has never mattered more.

We’re looking for a Senior Product Manager to join our AI & Data Security department and shape how enterprises discover, understand, govern, and protect their sensitive data. You’ll bring proven experience in this domain, a strong product perspective, and the drive to turn complex security challenges into products customers love to use.

The opportunity

You’ll own a strategic product area spanning Data Security Posture Management (DSPM) and data governance, with meaningful influence over its vision, roadmap, and execution.

Working closely with customers, engineering, security researchers, and design, you’ll build capabilities that help organizations answer essential questions: Where is our sensitive data? Who can access it? Where are we exposed? And what should we do next?

This is an opportunity to combine technical depth, customer insight, and product judgment to deliver measurable impact—and help enterprises adopt AI with confidence.

What You’ll Do

• Define the product vision, strategy, and roadmap for your area, connecting customer needs, market opportunities, and business goals.
• Lead discovery with enterprise customers and security and governance teams to understand their challenges, validate opportunities, and shape solutions.
• Drive capabilities across sensitive-data discovery and classification, exposure management, access governance, risk prioritization, and remediation.
• Translate complex technical and policy requirements into intuitive workflows, clear product requirements, and actionable development priorities.
• Partner with engineering, research, and design throughout the product lifecycle, making thoughtful tradeoffs around value, usability, accuracy, scale, and performance.
• Work with sales, marketing, and customer success to bring capabilities to market, communicate their value, and drive adoption.
• Define success measures and use customer feedback and product insights to improve outcomes continuously.
• Help shape our broader data security strategy as enterprise environments and AI use cases evolve.
  
  

• 3+ years of product management experience building B2B enterprise software, including substantial experience in data security, DSPM, or security-focused data governance.
• A proven track record of delivering products in this domain, with examples of capabilities you owned, customer adoption, and the impact they achieved.
• A strong understanding of sensitive-data discovery and classification, data exposure, permissions and access controls, and security or governance policies.
• Technical fluency in cloud and enterprise data environments, with the ability to discuss architecture, integrations, and technical tradeoffs confidently with engineering teams.
• Strong customer discovery skills and the ability to turn complex, sometimes conflicting needs into a clear product direction.
• Experience owning a product area from strategy through launch and iteration, balancing long-term ambition with focused delivery.
• Clear communication and the ability to align teams, influence decisions, and explain complex ideas to different audiences.
• Curiosity, initiative, and sound judgment when working through ambiguity.
  
  

• Data lineage, catalogs, retention, residency, or compliance and audit workflows.
• DLP, database security, identity and permissions, or automated remediation.
• Products spanning cloud, SaaS, and on-premises data environments.
• Securing data used by AI applications, copilots, or agents.
• Working directly with enterprise security leaders, data owners, and governance teams.