Product Manager, Data Activation
New
J
JobgetherAdTech
Based in United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- SQLProduct ManagementJiraRESTful APIs
Requirements
- Significant Product Management experience in digital advertising, AdTech, marketing technology, streaming, or a closely related environment.
- Proven experience managing partner integrations involving DSPs, SSPs, identity providers, data collaboration platforms, or similar technologies.
- Strong understanding of identity resolution concepts, including HHID, UID2, MAID, HEM, identity graphs, and related activation workflows.
- Hands-on familiarity with platforms and ecosystems such as The Trade Desk, LiveRamp, Adobe Experience Platform, Salesforce CDP, Google DV360, Meta, and clean room technologies.
- Deep knowledge of programmatic advertising, audience activation, taxonomy management, and measurement.
- Ability to participate effectively in API design discussions and integration architecture decisions.
- Strong expertise in writing product requirements, user stories, acceptance criteria, and managing Jira backlogs.
- Excellent written communication, stakeholder management, prioritization, and cross-functional collaboration skills.
- Experience developing scalable and repeatable product frameworks.
Responsibilities
- Partner with executive leadership to define, refine, prioritize, and execute the Data Activation product strategy and roadmap.
- Translate strategic objectives into business cases, functional requirements, user stories, acceptance criteria, and actionable Jira artifacts.
- Build and own a scalable partner integration platform supporting DSPs, SSPs, identity providers, data platforms, CTV platforms, Retail Media Networks, and other activation endpoints.
- Define integration architecture, data flows, partner onboarding frameworks, and repeatable implementation processes.
- Collaborate with Engineering and Product leadership on API strategy and next-generation integration architecture.
- Own activation product operations, including taxonomy governance, audience segment quality assurance, partner certification workflows, and operational processes.
- Establish product success metrics, evaluate launch performance, and incorporate insights into future roadmap decisions.
- Partner with Customer Success, Sales, and Solutions Engineering to support customer growth, adoption, and successful product implementations.
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