VP of Product Management- Classification and Privacy

Summary

Data has never been more valuable—or more vulnerable. As organizations accumulate massive volumes of sensitive information, they face mounting pressure from threat actors and privacy regulations alike. Answering a critical question—“What data do I have, where is it, and who can access it?”—has become essential to protecting data and ensuring compliance.

At Varonis, we believe the most effective way to secure data is from the inside out. Our mission is to make data protection autonomous—simplifying how organizations discover, classify, and control their sensitive information across hybrid cloud environments.

We’re looking for a strategic and experienced product leader to drive our data classification and privacy portfolio—one of the most foundational parts of our platform and a critical area of investment and innovation. This role is responsible for building advanced, scalable solutions that help our customers identify, categorize, and govern sensitive data across SaaS, IaaS, and on-prem environments.

You will lead a talented team of product managers and work closely with engineering, design, marketing, and sales to ensure our classification and privacy products continue to set the industry standard. You’ll work in a hybrid model, and help shape the future of the Varonis platform.

Responsibilities

• Lead the strategy, vision, and execution for Varonis’ classification and privacy products portfolio
• Manage and grow a team of experienced product managers across multiple product lines
• Define and own the roadmap for sensitive data discovery, classification, labeling, and privacy-aware controls across cloud and on-premises environments
• Deeply understand customer use cases for compliance (e.g., GDPR, CCPA, HIPAA), data governance, insider threat protection, and data loss prevention
• Drive innovations in content-aware and context-aware classification, including AI-driven techniques such as ML, NLP, and LLM-based models to accurately identify and categorize sensitive data
• Evaluate and incorporate emerging technologies (e.g., generative AI and large language models) to enhance classification accuracy, scalability, and real-time data understanding
• Work hands-on with UX designers, engineering, and research teams to design thoughtful, scalable solutions
• Partner with internal stakeholders including Customer Success, Sales Engineering, and Professional Services to understand deployment challenges and inform roadmap priorities
• Engage regularly with customers and prospects to gather feedback and validate product direction
• Collaborate with marketing and sales teams to position, launch, and drive adoption of new features and products
• Track and analyze product usage, customer feedback, and market trends to iterate on product strategy
• Serve as a subject matter expert and thought leader both inside and outside the organization on data classification and privacy topics
  
  

• A passionate, positive leader who thrives in complex, fast-moving environments
• Strong communication and storytelling skills with the ability to influence across technical and non-technical stakeholders
• 8+ years of experience in product management, with at least 5 years managing PMs and leading product lines
• Proven success in delivering B2B SaaS or hybrid software products in data security, privacy, governance, or compliance domains
• Experience building or scaling data classification products—whether content-based, metadata-based, AI-enhanced (ML/NLP/LLM), or policy-driven
• Familiarity with privacy frameworks and regulations such as GDPR, CCPA, HIPAA, and frameworks like NIST or ISO 27701
• Experience working with cloud infrastructure providers (AWS, Azure, GCP) and data systems (e.g., cloud storage, SaaS apps, databases)
• Demonstrated ability to synthesize customer pain points into actionable roadmaps and drive cross-functional execution
• Deep curiosity and empathy for customers; always looking for ways to solve real problems
• Strong technical background (e.g., engineering or technical PM experience) is a plus