Product Manager - Data Clean Rooms

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    "city": "New York City",
    "region": "NY",
    "country": "United States",
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{
  "lists": [
    {
      "text": "What You'll Do",
      "content": "\n<li>Own the end-to-end product roadmap for Samba's data clean room capabilities, including partner integrations, query frameworks, and privacy controls</li>\n<li>Define requirements for secure data collaboration workflows—from data ingestion and matching to privacy-safe query execution and results delivery</li>\n<li>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</li>\n<li>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</li>\n<li>Translate complex privacy-enhancing technologies—differential privacy, secure multi-party computation, federated learning—into practical product capabilities that clients can actually use</li>\n<li>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</li>\n<li>Stay ahead of regulatory and industry shifts, including evolving frameworks around data residency, consent management, and privacy-safe collaboration standards</li>\n<li>Define clear success metrics for clean room adoption, query volume, match rates, and client satisfaction—and hold the team accountable to them</li>\n"
    },
    {
      "text": "Who You Are",
      "content": "\n<li>3–5+ years of product management experience in ad tech, data platforms, or privacy-focused data infrastructure</li>\n<li>Deep familiarity with data clean room platforms and privacy-enhancing technologies, and how they're being used across the advertising ecosystem</li>\n<li>Strong understanding of the modern data stack—cloud data warehouses, identity resolution, first-party data activation, and measurement methodologies</li>\n<li>Experience shipping complex data products that required collaboration across engineering, legal, and commercial stakeholders</li>\n<li>Ability to distill technically dense concepts—MPC, differential privacy, query sandboxing—into clear client-facing value propositions and product specs</li>\n<li>Track record of executing in fast-moving, ambiguous environments where the market and the technology are both still evolving</li>\n<li>Hustler mentality: you build conviction quickly, move fast, and know how to bring skeptics along</li>\n\n<div>&nbsp;</div>\n<div>#LI-PS1</div>"
    }
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  "country": "US",
  "createdAt": 1772807056108,
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    "team": "Product Management Office",
    "location": "New York City, New York",
    "commitment": "International Full Time Employee",
    "department": "Product",
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      "Los Angeles, California"
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