Staff Product Manager - AI Detection & Discovery

The Challenge 

You cannot govern what you cannot see. AI is entering the enterprise faster than any technology before it—often without a ticket: a team deploys a foundation model endpoint in an unmonitored cloud account, an engineer self-hosts an open-weight model, or a SaaS vendor quietly adds an AI feature to a widely used tool. 

OneTrust is looking for a Staff Product Manager to own Detection—the discovery layer that finds AI models, LLM applications, agents, and AI-enabled features wherever they run, and turns that visibility into a governable inventory. Detection is the front door to AI governance: every downstream risk assessment, policy control, and compliance obligation depends on the completeness and accuracy of what you surface. 

Your Mission 

Strategy & Roadmap 

• Own product strategy for the Detection area across multiple related products, balancing delivery across the full product line.
• Set the Shadow AI detection strategy: discover unsanctioned models, applications, and agents; attribute owners; risk-rank assets; and route them into governance and remediation workflows.
• Define and sequence the coverage roadmap across detection surfaces, weighing build vs. partner decisions, connector investment, and the risk retired by each incremental surface.
• Establish the detection taxonomy and definition of a “discovered AI asset,” bringing models, hosted endpoints, fine-tunes, RAG pipelines, agents, and embedded vendor features into one coherent inventory.
• Own the quality bar with measurable targets for coverage, precision, recall, time-to-discovery, and false-positive rate; make tradeoffs explicit.
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