Product Manager - Data Clean Rooms

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant. 

Data clean rooms are redefining how the industry transacts on data. As signal loss accelerates and privacy regulation tightens, clean rooms have emerged as the primary vehicle for brands to connect their first-party data with Samba's unparalleled TV viewership and web intelligence—without either party exposing raw data. You'll ensure Samba's clean room products, and the applications built with the clean room, are the most capable, accessible, and trusted in the market.

• 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

• 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

Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.  We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.

Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.