Senior Product Manager – AI Innovation

🌍 Remote, USA 🚀 Full-time 🕐 Posted Recently

Job Description

Lead both internal infrastructure and external product initiatives for AI capabilities in identity security.
Own core internal AI infrastructure—including load balancing, compliance automation, security monitoring, feedback systems, model routing, and fine-tuned models.
Own and evolve open-source AI platforms (e.g., MCP Server) and customer solutions within Iris AI.
Collaborate across engineering, data science, and business teams to deliver innovative product strategies.
Engage and align business leaders, tech teams, and customers on AI-powered capabilities.
Ensure products meet stringent compliance, governance, and security standards throughout the lifecycle.
Identify opportunities for leveraging AI protocols and multi-agent frameworks to deliver advanced identity security solutions.

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.