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Were looking for a strategic and experienced product leader to drive our data classification and privacy portfolioone 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. Youll work in a hybrid model, and help shape the future of the platform.
Responsibilities:
Lead the strategy, vision, and execution for 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

Required VP R&D - Data division
Tel Aviv
As VP of R&D of the Data division, you will oversee the development and execution of our data technology strategy, managing the applicative and infrastructure layers connecting our applications to data, feeding our engines with the communication, activities and business context from external systems to all our products. You will be reporting to the Chief R&D officer, and will be responsible for scaling an R&D division, driving data applications and infrastructure development, and ensuring operational excellence in a fast-paced, cloud-native environment.
Key Responsibilities:
Strategic & Operational Leadership
Define and implement the R&D data strategy, ensuring alignment with company objectives and business needs.
Manage multiple product areas, balancing innovation, scalability, and customer needs.
Oversee quarterly planning, execution, and delivery, including bug resolution, customer support, and collaboration with GTM teams.
Drive efficiency and continuous improvement in software development methodologies, ensuring high-quality, scalable, and secure cloud-based solutions.
Team & Organizational Management
Lead a large-scale R&D organization of 80-100 employees, including manager-of-managers and group leaders.
Foster a high-performance culture with a strong emphasis on collaboration, innovation, and accountability.
Scale and structure the team to support rapid growth and evolving business priorities.
Technology & Product Execution
Oversee data applications and infrastructure development, ensuring robust architecture and technical excellence.
Bring our Data and API strategy to the next level, with AI driven technologies like MCP and A2A.
Lead the revolution of our data driven applications with a unified data strategy including a shared data model and data related capabilities across the platform.
Lead our connection to the ecosystem, leading our strategic partnerships with key players in the market like Microsoft, OpenAI, Salesforce and more
Build data processes and infrastructure to support the huge scale of billions of records of our customers data in an infinitely scalable platform requiring tight SLAs for updates and sub second query times for complex aggregations.
Manage diverse systems and products with complex technology stacks, ensuring seamless integration and scalability.
Lead cloud and scale-focused initiatives, ensuring optimal performance and reliability in a SaaS environment.