Principal Product Manager, AI Runtime Governance

Overview

Principal Product Manager to shape OneTrust's AI Governance product, with a focus on observability and enforcement across AI systems, running squad activities and aligning product, engineering, design and go-to-market stakeholders.

What you'll do

• Partner with engineering and design to run an effective squad cadence, maintain clarity on priorities, and turn ambiguous opportunities into actionable product direction
• Define product requirements and roadmap themes for AI observability, enforcement, and governance workflows
• Translate cybersecurity, platform, and AI/MLOps concepts into customer-facing product capabilities with special focus on SIEM and SOAR capabilities
• Identify the right future-facing platform investments to support governance for models, agents, prompts, evaluations, runtime signals, and policy controls
• Work closely with internal and external stakeholders to understand market needs, technical constraints, and regulatory expectations
• Drive decisions on what signals should be captured, how they should be normalized, and how they should power governance actions
• Ensure product choices balance near-term customer value with long-term platform extensibility
• Support launches, customer conversations, and strategic storytelling for this area of the portfolio

What you'll need

• 12+ years in product management, with meaningful experience in enterprise software or platform products
• Direct experience in one or more of the following domains: log collection, inference generation, cybersecurity, AI/MLOps, platform observability, or risk/compliance technology
• Track record of shipping technical platform capabilities in partnership with engineering teams
• Experience working with telemetry, monitoring, policy, controls, or enforcement-oriented systems
• Ability to understand complex technical architectures and convert them into strong product decisions
• Experience balancing customer needs, technical feasibility, and strategic platform thinking
• Bachelor's degree or equivalent practical experience
• Fluent in cybersecurity concepts such as controls, risk signals, policy enforcement, monitoring, and incident-oriented thinking
• Experienced in AI/MLOps ecosystems, with experience in building SIEM and SOAR solutions including model lifecycle considerations, evaluation signals, runtime monitoring, and production governance patterns
• Comfortable leading through influence across engineering, design, GTM, and executive stakeholders
• Structured in how you run product discovery, prioritization, and squad execution
• Future-oriented and able to identify platform capabilities that will matter as AI systems become more agentic, distributed, and operationally complex
• Clear and persuasive in written and verbal communication

Nice to have

• Experience with AI governance, model risk, or responsible AI programs
• Have built SIEM capabilities or product to drive meaningful signals
• Familiarity with enterprise AI stacks, agent frameworks, or evaluation/monitoring pipelines
• Experience building products that connect governance requirements to operational systems and evidence
• Background working in privacy, security, compliance, or trust-related software markets
• Comfort engaging with strategic partners, large enterprise customers, and senior leadership on product direction

Details

• Office-first culture: three days a week in office for most roles; verify specific requirements with your recruiter during the first interview