Senior Product Manager - Data Classification

Summary

Data has never been more valuable and vulnerable. As cybercriminals become more sophisticated and regulations more strict, organizations struggle to answer one key question: “Is my data safe?"

At Varonis, we see the world of cybersecurity differently. Instead of chasing threats, we believe the most practical approach is protecting data from the inside out. We’ve built the industry’s first fully autonomous Data Security Platform to help our customers dramatically reduce risk with minimal human effort.

At Varonis, we move fast. We’re an ultra-collaborative company with brilliant people who care deeply about the details. Together, we’re solving interesting and complex puzzles to keep the world’s data safe.

We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.

We are looking for a Senior Product Manager to lead this evolution - building scalable, accurate, and context-aware classification capabilities.

At Varonis, we protect data from the inside out - helping organizations understand where sensitive data exists, who can access it, and how it is used.

Data classification is at the core of this mission. It is evolving from traditional detection into a more advanced, AI-driven capability that enables deeper understanding across structured and unstructured data.

Responsibilities

• Own the product lifecycle end-to-end: strategy, roadmap, delivery, and launch
• Define and drive the vision for data classification and data understanding
• Gather and prioritize requirements through customer and market insights
• Work closely with Engineering, Data Science, Sales, and other stakeholders
  
  

• Evolve classification from pattern-based detection to AI-enhanced capabilities
• Balance accuracy, performance, scalability, cost, and privacy
• Translate complex data behavior into simple, usable product features
• Improve classification quality and coverage across large-scale environments
  
  

• 5+ years of Product Management experience
• Strong technical background and ability to work with engineering teams
• Experience building products in complex or data-intensive environments
• Excellent communication and analytical skills
• Ability to drive cross-functional initiatives and operate in ambiguity
  
  

• Experience with data security, data classification, or similar domains
• Familiarity with AI / Machine Learning concepts or working with Data Science teams
• Relevant B.Sc. degree; MBA – an advantage