Product Manager, Data Management Platform & Partner Audience

• Own DMP identity and partner audience integration roadmap
• Define product strategy and roadmap for partner-based audience onboarding and identity interoperability.
• Lead integrations with identity / audience partners and future third-party audience suppliers.
• Manage day-to-day product communication with strategic partners, maintain productive partner relationships, and align / negotiate integration details such as data payloads, identity fields, testing scope, etc
• Translate partner business goals into platform capabilities, requirements, identity matching logic, data-quality controls, and operational processes.
• Balance advertiser reach, match quality, compliance, latency, platform cost, and long-term scalability.
• Build identity match quality and overmatching guardrails
• Own product requirements for audience match-rate measurement, overmatching detection, regional routing checks, identity enrichment transparency, and guardrail enforcement.
• Define short-term and long-term remediation strategies, payload-level external identifiers, real-time optimization, partner-specific guardrails, and ID graph quality improvements.
• Ensure match-rate improvements do not compromise advertiser reach, campaign continuity, reporting consistency, or privacy expectations.
• Lead cross-functional execution across technical and business teams
• Align roadmap, milestones, and launch criteria across cross functional teams and support teams.
• Drive project rituals, risk tracking, escalation, milestone revision, launch readiness, and stakeholder communication.
• Make crisp tradeoff decisions across timeline, quality, compliance, partner asks, and engineering capacity.
• Communicate clearly with senior leadership on project status, key risks, business impact, and decisions needed.
• Strong understanding of audience activation concepts, such as hashing, mapping, identity matching, match rate, audience refresh cadence, suppression, activation, and reporting continuity.
• Experience working with external technical partners or data / identity providers through complex integrations.
• Ability to write clear product requirements for data pipelines, identity logic, diagnostics, dashboards, and operational workflows.
• Strong analytical judgment; able to interpret match-rate analysis, data-quality investigations, funnel metrics, and partner performance benchmarks.
• Demonstrated ability to independently lead ambiguous, cross-functional platform initiatives involving engineering, data science, legal, privacy, commercial, and external partner stakeholders.

None flagged.