Product Manager - Data Clean Rooms at Samba TV | AdTechTalent
Product6 months agoOn-site
Samba TV
Product Manager - Data Clean Rooms
product managementdata clean roomsprivacy-enhancing technologiesad techdata platformsAWS Clean RoomsDataBricksSnowflakeGoogle Ads Data HubInfoSumHabudifferential privacysecure multi-party computationfederated learningcloud data warehousesidentity resolutionfirst-party data activationmeasurementquery sandboxingprivacydata governance
Key details
Salary
Not specified
Employment type
Full-time
Seniority
Mid-level
Years experience
3-5
Location
Los Angeles, United States; New York, US
Full job description
Samba is seeking a mid-level product manager to lead the product roadmap for data clean room capabilities. Responsibilities include defining secure data collaboration workflows, managing integrations with clean room platforms (AWS Clean Rooms, DataBricks, Snowflake, Google Ads Data Hub, InfoSum, Habu), translating privacy-enhancing technologies into usable product features, and collaborating cross-functionally to drive revenue and client partnerships. Candidates should have 3-5+ years of product management experience in ad tech, data platforms, or privacy-focused infrastructure, deep knowledge of data clean rooms and privacy technologies, and experience working with complex data products involving engineering, legal, and commercial teams. The role requires strong understanding of modern data stacks and ability to communicate complex technical concepts clearly. Locations include New York City, NY and Los Angeles, CA.
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
Similar jobs
More roles worth a look
Related opportunities based on specialty and working model so candidates can keep momentum.
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
Requirements
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
Tech stack
AWS Clean RoomsDataBricksSnowflake Data Clean RoomsGoogle Ads Data HubInfoSumHabudifferential privacysecure multi-party computationfederated learningcloud data warehousesidentity resolutionfirst-party data activationmeasurement methodologies
Apply now
Ready to take the next step in your career? Click the button below to continue to the application process.
