Product Manager

Cyera Cyera · Vertical AI · Tel Aviv, Israel · Product Management

Product Manager for a security operating model company focused on securing data and AI. The role involves defining product vision, strategy, and execution for scalable SaaS products, cloud-based platforms, security tools, or data-driven applications, with a focus on AI-driven automation and data security.

What you'd actually do

  1. Define and execute product strategy, ensuring alignment with customer needs and business goals.
  2. Work closely with engineering teams to develop technical solutions that are scalable, secure, and easy to use.
  3. Collaborate with cross-functional teams, including R&D, UI/UX, Sales, Marketing, and Customer Success, to bring features from concept to launch.
  4. Translate complex technical challenges into product requirements and user-friendly solutions.
  5. Own the product roadmap, prioritize features, and drive execution while balancing speed and quality.

Skills

Required

  • Enterprise SaaS Products
  • B2B SaaS
  • data platforms
  • security solutions
  • cloud-native applications
  • software development
  • cloud platforms (AWS, Azure, GCP)
  • modern cloud architectures
  • AI/ML
  • data security
  • analytics
  • automation-driven products
  • cybersecurity
  • risk management
  • DLP (Data Loss Prevention)
  • compliance frameworks
  • APIs
  • integrations
  • developer-focused products
  • data processing
  • data governance
  • large-scale distributed systems
  • security analyst workflows
  • incident investigation tools
  • on-prem file storage environments (Netapp, Dell Isilon)
  • data lineage
  • database security use cases
  • privileged access monitoring
  • query auditing
  • compliance requirements

Nice to have

  • Strong technical intuition
  • communicate effectively with engineers and technical stakeholders
  • product-led growth strategies
  • driving adoption through UX and automation
  • analyze product usage data
  • Passion for solving real-world security challenges

What the JD emphasized

  • Experience in Enterprise SaaS Products
  • Experience in software development
  • Familiarity with cloud platforms (AWS, Azure, GCP)
  • Interest or experience in AI/ML, data security, analytics, or automation-driven products.
  • Understanding of cybersecurity, risk management, DLP (Data Loss Prevention), or compliance frameworks.
  • Experience working with APIs, integrations, or developer-focused products.
  • Knowledge of data processing, governance, or large-scale distributed systems.
  • Strong understanding of security analyst workflows and incident investigation tools
  • Experience with on-prem file storage environments (e.g. Netapp, Dell Isilon) and their security challenges
  • Experience with data governance and/or data catalog tools, such as Colibra, Alation, or Atlan; Familiarity with data lineage and governance concepts
  • Knowledge of database security use cases, including privileged access monitoring, query auditing, and compliance requirements