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Product Manager - Data Clean Rooms

samba tv New York City, New York

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Ghost-risk verdict

Some ghost-posting signals

  • open for 169 days (90+ without a fill is a strong ghost signal)
  • 67 open roles at this company in 30 days (mass-hiring blitz)

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About the role

What You'll Do

Own the end-to-end product roadmap for Samba's data clean room capabilities, including partner integrations, query frameworks, and privacy controls

Define requirements for secure data collaboration workflows—from data ingestion and matching to privacy-safe query execution and results delivery

Work cross-functionally with engineering, data science, legal/data governance, sales, client success, and your product colleagues to prioritize clean room capabilities that drive new revenue and deepen client partnerships

Build and maintain integrations with leading clean room platforms including AWS Clean Rooms, DataBricks, Snowflake Data Clean Rooms, Google Ads Data Hub, InfoSum, and Habu

Translate complex privacy-enhancing technologies—differential privacy, secure multi-party computation, federated learning—into practical product capabilities that clients can actually use

Partner with product colleagues, sales, and solutions teams to develop repeatable clean room use cases around insights, audience discovery, reach and frequency measurement, campaign attribution, and competitive conquesting

Stay ahead of regulatory and industry shifts, including evolving frameworks around data residency, consent management, and privacy-safe collaboration standards

Define clear success metrics for clean room adoption, query volume, match rates, and client satisfaction—and hold the team accountable to them

Who You Are

3–5+ years of product management experience in ad tech, data platforms, or privacy-focused data infrastructure

Deep familiarity with data clean room platforms and privacy-enhancing technologies, and how they're being used across the advertising ecosystem

Strong understanding of the modern data stack—cloud data warehouses, identity resolution, first-party data activation, and measurement methodologies

Experience shipping complex data products that required collaboration across engineering, legal, and commercial stakeholders

Ability to distill technically dense concepts—MPC, differential privacy, query sandboxing—into clear client-facing value propositions and product specs

Track record of executing in fast-moving, ambiguous environments where the market and the technology are both still evolving

Hustler mentality: you build conviction quickly, move fast, and know how to bring skeptics along

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