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Resonate is seeking a Senior Product Manager for Data Activation to own the product strategy and execution for how the company's AI-powered consumer data reaches enterprise platforms including DSPs, SSPs, walled gardens, CTV platforms, and identity providers.
In this role, you will shape how Resonate's data offering is structured, packaged, and priced to compete effectively in the open marketplace. You'll partner with the group VP to develop and own the Data Activation roadmap end-to-end, from business case development through sprint execution in Jira. Key responsibilities include productizing partner integrations (LiveRamp, The Trade Desk, Blockgraph, etc.) to make onboarding repeatable rather than custom; defining technical and commercial requirements for API and architecture decisions alongside Engineering leadership; championing taxonomy changes needed for activation use cases; and serving as the product point of contact for Customer Success, Sales, and Solutions Engineering to drive revenue growth.
You'll instrument launches with clear success criteria and maintain conviction on roadmap priorities against commercial pressure. This is a hands-on role where you write specs, own the backlog, and ship—not just set direction.
Required qualifications include deep, first-hand understanding of how syndicated data is bought and sold on open marketplaces (pricing, packaging, platform-specific classification); substantial product management experience in digital advertising or data ecosystems focused on audience creation, identity, and data distribution; end-to-end partner integration ownership; and deep knowledge of the AdTech/MarTech landscape (CDPs, DSPs, SSPs, DMPs, programmatic workflows, identity resolution concepts like HHID, UID2, MAID, HEM). You need enough technical fluency to partner with Engineering on architecture and data flow decisions.
Strong signals include sell-side experience at a data provider or platform, CTV/Retail Media/walled garden experience, familiarity with clean rooms and data collaboration platforms, and comfort using AI tools for data analysis.
