Senior Product Manager - AI Innovation

Delinea is a pioneer in securing human and machine identities through intelligent, centralized authorization. They are seeking a Senior AI Product Manager to lead internal infrastructure and external product initiatives for AI capabilities in identity security, collaborating across teams to deliver innovative strategies that maximize operational excellence and customer impact.

Responsibilities:

• Internal AI Product Ownership: Define, execute, and optimize the architecture and roadmap for critical internal AI infrastructure (including but not limited to load balancing, compliance, monitoring, feedback, model routing, and enterprise fine-tuned LLMs)
• External Product Leadership: Own and evolve open-source AI platforms (e.g., MCP Server) and customer solutions within Iris AI, focusing on robust, scalable product delivery and driving adoption in enterprise environments
• Cross-functional Delivery: Partner with engineering, data science, operations, and customer-facing teams to deliver seamless AI solutions for both internal business functions and external customers
• Stakeholder Alignment: Engage and align business leaders, tech teams, and customers on new AI-powered capabilities, requirements, and releases
• Security & Compliance: Ensure products meet stringent compliance, governance, and security standards throughout the lifecycle
• Market Innovation: Identify opportunities for leveraging AI protocols and multi-agent frameworks (MCP, A2A, etc.) to deliver advanced identity security solutions

Requirements:

• 5+ years in product management, preferably in AI/ML, cybersecurity, identity, or enterprise SaaS
• Familiarity with identity and access management (IAM), privileged access management (PAM), and identity governance (IGA)
• Solid understanding of modern AI/ML concepts—including large language models, multi-agent systems, context engineering, MCP (Model Context Protocol), A2A (Agent-to-Agent Protocol), and expertise in model fine-tuning and training
• Proven ability to work alongside data scientists, engineers, and UX professionals to define, prioritize, and deliver solutions that balance technical viability, scalability, and user experience
• Knowledge of compliance, security, and privacy best practices relevant to enterprise software and AI products
• Demonstrable record of managing and launching AI-driven or data-centric products, working through full product lifecycle
• Experience supporting or growing open-source AI platforms and/or direct customer-facing products
• Excellent written and verbal skills to translate technical capabilities into compelling business value for both internal and external audiences
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Experience working with PAM/IGA governance initiatives
• Experience engaging with open source or technical user communities