Senior Product Manager, Data Activation

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Manager, Data Activation based in United States.

As a Senior Product Manager, you’ll own the product that brings high-quality consumer and audience data into the platforms where enterprise marketers activate campaigns and make decisions.
You’ll shape both what gets built and how data products are packaged, positioned, and commercialized in a competitive AdTech ecosystem.
Working closely with senior leadership, you’ll own the Data Activation roadmap from strategy and business cases through requirements, delivery, and measurement.
You’ll lead partner integrations across DSPs, SSPs, identity providers, CTV platforms, walled gardens, and data marketplaces.
The role combines hands-on product management with commercial thinking, technical collaboration, and deep knowledge of how audience data moves through the advertising ecosystem.
You’ll have significant autonomy to establish a product vision, build repeatable systems, and make decisions that directly influence revenue and customer value.
This is an ideal opportunity for a pragmatic, data-driven product leader who enjoys ambiguity, ownership, and turning complex data infrastructure into scalable products

Accountabilities:

• Shape how data offerings are structured, packaged, priced, and positioned across custom audience and syndicated products, translating commercial strategy into a clear product roadmap.
• Partner with senior leadership to define the Data Activation strategy and own execution end-to-end, including business cases, product requirements, user stories, acceptance criteria, prioritization, and sprint ceremonies.
• Productize integrations with strategic ecosystem partners, defining requirements, intake processes, implementation standards, and repeatable rollout playbooks.
• Collaborate with Engineering and Product leadership on next-generation APIs, integration requirements, and target-state architecture decisions, ensuring technical investments support product and commercial goals.
• Champion taxonomy changes required for audience activation use cases and establish workflows, monitoring, and quality controls that enable reliable data delivery at scale.
• Serve as the product point of contact for Sales, Customer Success, and Solutions Engineering, providing positioning, product knowledge, and proof points that support customer acquisition and retention.
• Define meaningful success criteria and instrumentation for launches, using performance data to evaluate outcomes and make informed roadmap decisions.
• Balance commercial requests with strategic priorities, making clear trade-offs and maintaining a disciplined product roadmap.
• Monitor developments across AdTech, MarTech, identity, data marketplaces, CTV, and other activation ecosystems to identify opportunities and maintain market relevance.

Requirements:

• Substantial product management experience within digital advertising, marketing technology, consumer data, or a closely related ecosystem, with hands-on ownership of a core product area.
• Strong first-hand understanding of how syndicated data is bought, sold, packaged, priced, classified, and valued across open marketplaces and advertising platforms.
• Proven experience turning market and commercial insights into product strategy, positioning, packaging, and offerings that support revenue growth.
• Deep knowledge of the AdTech and MarTech landscape, including CDPs, DSPs, SSPs, DMPs, direct and programmatic media workflows, audience activation, taxonomy, and measurement.
• Experience owning or driving partner integrations from initial scope through implementation, launch, and ongoing optimization.
• Working knowledge of identity resolution concepts and ecosystems, including HHID, UID2, MAID, HEM, identity graphs, and major identity-provider workflows.
• Sufficient technical fluency to collaborate effectively with Engineering on APIs, integrations, architecture, and data flows.
• Strong product management fundamentals, including backlog ownership, requirements writing, prioritization, roadmap development, and agile delivery.
• Excellent commercial judgment and the ability to communicate effectively with senior executives as well as technical and delivery teams.
• High ownership, autonomy, proactive problem-solving, adaptability, curiosity, and a strong customer focus.
• Ability to make evidence-based decisions, measure outcomes, and connect product choices to tangible business results.
• Experience in a sell-side role at a data provider, data marketplace, or platform is a strong plus.
• Experience with CTV, Retail Media Networks, walled gardens, clean rooms, or data collaboration platforms is advantageous.
• Comfort using AI tools to analyze data and inform product decisions is valued; SQL or scripting experience is a bonus rather than a requirement.

Benefits:

• Competitive compensation with uncapped growth potential.
• Competitive 401(k) employer match.
• Open PTO policy designed to encourage meaningful time away from work.
• Remote-first and flexible working environment.
• Opportunities for thoughtful in-person collaboration and light travel for company and client events.
• Significant autonomy and visible impact within a growing organization.
• Opportunity to work on AI-powered consumer data, identity, and marketing technology solutions.
• Comprehensive benefits package designed to support employees and their families; full details are shared following the initial HR conversation.
• Collaborative environment emphasizing ownership, proactive problem-solving, adaptability, growth, customer focus, and strategic thinking.
• Equal opportunity workplace committed to diversity, inclusion, and a respectful working environment.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.