Product Manager, Data Management Platform & Partner Audience

TikTok Inc

San Jose, CA

JOB DETAILS
SKILLS
Advertising, Alliance/Partner Management, Alliance/Partner Marketing, Analysis Skills, Application Programming Interface (API), Benchmarking, Cadence, Campaigns, Communication Skills, Cross-Functional, Data Analysis, Data Management, Data Quality, Data Science, Identity Data Management, Interoperability, Leadership, Legal, Machine Tool, Multiplatform/Cross-Platform, Negotiation Skills, Onboarding, Operations Processes, Performance Metrics, Product Data Management (PDM), Product Management, Product Planning, Product Strategy, Reporting Dashboards, Risk, Technical Strategy, Wheel/Front-End Loader, Writing Skills
LOCATION
San Jose, CA
POSTED
8 days ago

Role Introduction: We are looking for a product manager to help drive Data Management Platform (DMP) product roadmap, with a strong focus on audience onboarding, audience activation, identity interoperability, and partner audience integrations. This role will work across core DMP capabilities, including advertiser first-party audience management, partner-based audience supply, audience APIs, match quality, platform reliability, and operational tooling.

The ideal candidate has hands-on experience with Data Management Platform, identity, audience activation, or data platform products, and can operate comfortably across product strategy, technical requirements, partner collaboration, data-quality analysis, and cross-functional execution.

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. Minimum Qualification(s):
  • 3+ years of product management experience in advertising technology, data platforms, identity, measurement, audience platforms, or related fields; candidates with deeper Data Management Platform / identity / partner integration experience are strongly preferred.
  • 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.

About the Company

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TikTok Inc