Privacy Program Manager

Clay Labs · San Francisco

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About Clay

AI is unleashing the biggest wave of company creation in history. Clay's mission is to be the engine those companies use to grow to their full potential.

Clay predicts the next best action for your business and then helps you take it. We started by aggregating the best data for B2B companies. Then, we built the infrastructure to run any personalized campaign on top of it, including emails, ads, landing pages, and workflows that make reps more productive. Now, we're building agents that can help grow your company for you. We're already helping thousands of customers — including Anthropic, OpenAI, Google, and Visa — go to market with unique data, signals, and AI research.

In 2026, we raised a $115M Series D at $7.1B Valuation led by Wellington — and are on track to cross $200M in revenue this quarter. We also launched a $1M Scholarship fund for GTME Education.

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Privacy Program Manager @ Clay

Personal data is at the center of how Clay works. It comes from our data provider marketplace, our own proprietary B2B dataset, the web research our agents run, and the records our customers bring to Clay. Every person in that data, and every customer who relies on it, needs to trust how Clay handles it. As we build agents that research and act for our customers, that trust also depends on how we build and use AI.

We're looking for a Privacy Program Manager to help build and run Clay's privacy program, including the operational side of AI governance. You'll report to our Head of Product, Privacy & AI Legal and work closely with Product, Engineering, Data Platform, Data Partnerships, Security, Marketing, and Sales. Our Legal team sets the standards and makes the legal calls. As part of that team, you'll turn them into processes, records, and tooling that work at Clay's pace.

This role is for someone who wants to build and own a privacy program that differentiates Clay. You'll connect the privacy work already happening across Clay into one program with clear owners, reliable operations, and evidence we can stand behind. You'll also automate as much as possible, so Product and Engineering can spend more time building.

What You'll Do

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