Product Manager, Privacy, Rights & Trust

Protege is focused on solving the significant unmet need in AI by facilitating the secure and efficient exchange of training data. The Product Manager for Privacy, Rights & Trust will be responsible for ensuring that real-world data is safe, compliant, and trustworthy for AI training while balancing privacy and usability.

Responsibilities:

• Own Protege’s privacy protection strategy across modalities (text, audio, video, multimodal), balancing privacy, usability, and cost
• Define scalable de-identification workflows, including approaches that preserve longitudinal or contextual signal when needed, partnering closely with Data Lab and Solutions Architecture on novel or complex cases
• Own rights, permissions, and usage constraints: define how they are represented in the platform and enforced end-to-end
• Build validation mechanisms for partner-performed de-identification and rights claims to ensure reliability at scale
• Shape product abstractions for regulated environments (e.g., HIPAA, GDPR, international healthcare) without hard-coding policy into one-off solutions
• Identify and reduce trust/risk surfaces where inaccurate partner metadata, unclear provenance, or weak validation creates legal or reputational risk
• Define product signals and guardrails that make risk visible and manageable (not hidden in process or people). Align risk thresholds and guarantees with Legal, Security, and GTM—then translate those into product behavior and workflows
• Act as the primary product owner for the Privacy, Rights & Trust value stream across all verticals
• Partner with adjacent PMs (e.g., Data Intake & Readiness, Data Inventory & Catalog, Partner Systems) to ensure trust is embedded from ingestion through delivery
• Reduce bespoke privacy work by turning repeated edge cases into reusable platform capabilities that improve deal velocity, partner eligibility, and scalability

Requirements:

• Product management experience in privacy, compliance, data platforms, or trust & safety–adjacent domains
• Comfortable operating in ambiguity where legal, technical, and ethical constraints overlap
• Strong systems thinker who can translate policy constraints into usable product primitives and workflows
• Able to make, communicate, and defend tradeoffs between risk, usability, cost, and scale
• Effective cross-functionally with Legal, Security, Data Science, Partner Ops, and GTM stakeholders
• Experience designing or scaling validation frameworks for third-party data, de-identification, provenance, or usage claims