Product Manager, Privacy, Rights & Trust

Protege

12d

About The Position

We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI — and in tech. We’re a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. As the PM for Privacy, Rights & Trust, you own how Protege makes real-world data safe, compliant, and trustworthy for AI training — without destroying its usefulness. You will define the systems, workflows, and guarantees that allow customers, partners, and internal teams to confidently use data across modalities, geographies, and regulatory regimes. This role sits at the intersection of product, legal, data science, security, and partner operations, and turns complex regulatory and ethical constraints into scalable platform capabilities.

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.

Nice To Haves

Experience designing or scaling validation frameworks for third-party data, de-identification, provenance, or usage claims.

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.