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tvScientific Logo tvScientific · IT - Software Development

Senior Technical Product Manager, Identity

United States 165000.00 - 180000.00 USD / Year · Job Posted February 13, 2026
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Job Description

tvScientific is looking for a Senior Product Manager to lead our identity graph and data partnership strategy. This work is central to how we deliver accurate, privacy-first targeting across Connected TV and digital. You’ll own the roadmap for identity resolution, guide the development of graph-based models that connect users, households, and devices, and expand our network of high-impact data partners. Your work will directly support campaign performance, faster optimization, and more precise measurement. This is a highly cross-functional role that blends technical fluency with strong product leadership.

Job Responsibility

  • Own the identity product strategy and lead the vision for tvScientific’s identity graph enabling persistent, multi-device recognition across CTV and digital
  • Partner with Data Engineering and Data Science to architect and optimize graph-based data models representing user identity, household relationships, and device linkages
  • Design APIs and services for real-time identity resolution, enrichment, and activation in programmatic ad workflows
  • Embed privacy-centric solutions like UID 2.0, RampID, and emerging standards into the graph infrastructure to ensure compliance and scalability
  • Source, evaluate, and onboard third-party identity and behavioral data providers to improve graph completeness and targeting precision
  • Lead technical integration and operationalization of identity and graph enrichment partners, managing ingestion, data mapping, and deployment
  • Collaborate with Legal, Security, and Data teams to ensure compliance with CCPA, GDPR, and global privacy regulations
  • Maintain a strategic view of the identity and data ecosystem to recommend build versus partner strategies that maximize value
  • Write detailed product requirements, data specifications, and user stories to guide Engineering and Infrastructure teams on performant graph storage, traversal, and querying
  • Define and monitor key metrics such as match rates, accuracy, persistence, identity coverage, and campaign performance impact
  • Support Sales, Marketing, and Customer Success with technical narratives that clarify the value of identity resolution in CTV targeting
  • Stay up to date on privacy-enhancing technologies, identity standards, and regulatory changes, representing tvScientific in industry forums and partner discussions

Requirements

  • 6+ years in product management, solutions engineering, or technical partnerships focused on data-driven products, audience targeting, or martech
  • Deep experience working with Data Science and Engineering teams to build and launch data infrastructure
  • Expertise in identity resolution, segmentation, onboarding, and activation workflows
  • Proven ability to source, evaluate, and operationalize third-party data partnerships
  • Strong analytics mindset and comfort working with large datasets
  • Technical fluency across APIs, data pipelines, audience graphs, and privacy frameworks
  • Excellent communication skills that translate technical ideas into real business value
  • A solid foundation in AdTech

Nice to have

  • Experience with programmatic advertising and digital media buying
  • Familiarity with ad verification processes and tools
  • Familiarity with compliance and regulatory considerations in advertising technology
  • Certification or training in Agile or Scrum methodologies
  • Experience collaborating with industry partners and building strategic alliances
  • Proficiency in additional languages relevant to the advertising technology market
  • BS/MS in a related discipline
  • Bonus points for Connected TV experience

What we offer

  • Full health, dental, and vision insurance - up to 95% funded by the company for employees
  • Employee stock option program
  • Company-sponsored retirement plan with a matching contribution program
  • 12 annual paid holidays (including 2 flexible days)
  • Generous PTO policy
  • A remote-first environment that allows employees flexibility to work from most places in the US
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