לוח משרות דרושים Senior Product Manager בהרצליה, לחיפוש זה נמצאו 3 משרות

As organizations rapidly adopt AI assistants, copilots, agents, and autonomous workflows, they face new risks that traditional security tools cant address. we are building the industrys first fully autonomous Data Security Platform and defining the emerging category of AI Security. Were looking for an exceptional Product Manager to help build the next generation of AI Security products - identifying emerging challenges, shaping product strategy in a rapidly evolving market, and working with customers, CISOs, engineers, researchers, and executives to guide how enterprises securely adopt AI at scale.
If youre passionate about AI and experienced in building security products, this is your chance to influence a category thats only beginning to take shape.
How We Build Products
Our team operates differently:
Customer obsessed, not customer informed
Think in bets, not specs
Say no to protect yes
Urgency as default - fail fast, iterate
Own the interfaces
Be a product builder, not a roadmap manager
Responsibilities
Define and own product vision, strategy, and roadmap for AI Security
Drive products from concept through launch and adoption
Partner with engineering, data science, security research, and design
Work directly with customers, CISOs, analysts, and industry leaders
Translate customer needs, risks, and market insights into differentiated capabilities
Evaluate emerging AI technologies and turn innovation into customer value
Influence product and company strategy in a fast‑growing cybersecurity domain.

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