Senior Product Manager - AI

📋 Description Internal AI product ownership: define and optimize internal AI infra roadmap. External product leadership: own MCP Server and Iris AI customer solutions. Cross-functional delivery: collaborate with engineering, data science, ops, and customer teams. Stakeholder alignment: align leaders, tech teams, and customers on AI releases. Security & compliance: ensure products meet security and governance standards. Market innovation: identify opportunities for MCP/A2A in identity security. 🎯 Requirements 5+ years in product management, AI/ML, cybersecurity, IAM, or enterprise SaaS. Familiarity with IAM, PAM, and IGA. Strong knowledge of LLMs, multi-agent systems, MCP, A2A, and fine-tuning. Proven collaboration with data scientists, engineers, and UX teams. Security, privacy, and enterprise compliance best practices. Experience launching AI-driven or data-centric products. 🎁 Benefits Travel up to 25%. Healthcare, pension/retirement matching, life insurance. Employee assistance program, time off plans, paid holidays. Equal Opportunity Employer. Culture of innovation and collaboration.