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Senior Product Manager, AI Security
Not specifiedFull-timeProduct ManagementCybersecurity
Own the vision, strategy, and roadmap for an AI security offering within a cloud security platform. Lead cross-domain initiatives with product and engineering teams, engage customers and industry stakeholders, and turn market needs into product decisions. The role is based in Tel Aviv and works with
Responsibilities
- Own the AI security offering's product vision, strategy, and roadmap.
- Define how the product discovers, assesses, and prioritizes risks across AI models, agents, platforms, packages, and applications.
- Develop AI posture and inventory, runtime visibility and detection, governance, framework alignment, and sensitive-data exposure capabilities.
- Balance coverage, detection accuracy, and usability; set success measures for adoption, precision, and customer value.
- Lead cross-domain AI security initiatives with product managers and teams across runtime, workloads, application security, cloud posture, identity, and attack surface.
- Define shared AI inventory, context, and risk-prioritization capabilities for other product areas.
- Partner with engineering, threat research, design, sales engineering, customer success, and product marketing to deliver and launch products.
- Engage security leaders and practitioners, translate customer insights into product decisions, track the market, and represent the product with customers, partners, and analysts.
Requirements
- At least 5 years of technology industry experience, including 3 or more years as a Product Manager building B2B cybersecurity SaaS products.
- A hands-on engineering background, such as software engineering, security engineering, security research, or sales engineering.
- Strong understanding of cloud architectures, including AWS, Azure, or GCP, and cloud security products such as CNAPP.
- Experience leading initiatives across teams and product managers without direct authority, including in distributed international organizations.
- Strong communication and storytelling skills, with the ability to explain complex topics to executives, engineers, and customer-facing teams.
- Fluent spoken and written English.
Nice to have
- Hands-on experience building AI applications, including LLMs, agents, MCP, RAG, or coding agents; regular use of AI tools.
- Experience with AI security, data security (DSPM), or CNAPP products.
- Familiarity with AI risk frameworks and regulations, including OWASP Top 10 for LLMs, MITRE ATLAS, NIST AI RMF, and the EU AI Act.