Product Manager - Data Security
Cato NetworksTel Aviv District и ещё 1 городот 3 лет
AIProduct ManagementB2B SaaSData GovernanceData SecurityCloud NetworkingSASEDSPM
Описание
We are 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.
Responsibilities
- 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.
Requirements
- 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.
Nice to have
- 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.