Product Manager - Data Clean Rooms
Domain
Tech Stack
Must-Have 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
- ✓Strong understanding of modern data stack
- ✓Experience shipping complex data products requiring cross-functional collaboration
- ✓Ability to distill technically dense concepts into clear value propositions
- ✓Track record of executing in fast-moving, ambiguous environments
- ✓Hustler mentality with fast execution capability
Nice to Have
- -Understanding of how clean rooms are used across advertising ecosystem
- -Experience with identity resolution and first-party data activation
- -Experience with measurement methodologies
Description
Samba is an AI-powered media intelligence company on a mission to give marketers the complete picture of their audiences. Our AI indexes media consumption across millions of smart TVs and 2.5 billion web pages, combining that data with third-party signals through the Samba Knowledge Graph, a map of the real interests, behaviors, and purchase intent of 1.5 billion user profiles globally. Brands, agencies, publishers, and platforms use Samba to make smarter decisions across every stage of the marketing funnel.
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.
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