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OneTrust is seeking a Principal Product Manager to lead the AI Runtime Governance product area, with a specific focus on observability and enforcement across AI systems. This is a strategic role for a product leader who can connect strategy, execution, and technical depth to build platform capabilities for the next generation of governed AI.
You will own and drive product direction for core AI Governance capabilities related to observability, policy enforcement, controls, and signal-driven governance across AI systems. Your mission includes helping customers gain visibility into AI systems, models, agents, and their behaviors over time using SIEM solutions; collect and operationalize governance signals across development, deployment, and runtime environments; enforce policies to build responsible AI and secure-AI use cases; investigate risk, drift, policy violations, and operational issues with confidence; and connect governance requirements to measurable controls, workflows, and evidence for compliance outcomes.
Key responsibilities include partnering with engineering and design to run effective squad cadence and maintain clarity on priorities; defining product requirements and roadmap themes for AI observability, enforcement, and governance workflows; translating cybersecurity, platform, and AI/MLOps concepts into customer-facing product capabilities with special focus on SIEM and SOAR capabilities; identifying future-facing platform investments to support governance for models, agents, prompts, evaluations, runtime signals, and policy controls; working closely with internal and external stakeholders to understand market needs, technical constraints, and regulatory expectations; driving decisions on what signals should be captured, how they should be normalized, and how they should power governance actions; ensuring product choices balance near-term customer value with long-term platform extensibility; and supporting launches, customer conversations, and strategic storytelling for this portfolio area.
Success means the squad operates with strong product clarity, execution discipline, and measurable outcomes; customers can observe meaningful AI system behavior and governance signals in a way that supports action, not just reporting; and enforcement capabilities are differentiated and ready for market adoption.
REQUIREMENTS: The ideal candidate brings a strong product mindset along with a background in cybersecurity, SIEM, and AI/MLOps. The role requires the ability to connect strategy, execution, and technical depth, with experience running squad activities and driving clarity across product, engineering, design, and go-to-market stakeholders.
