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Staff Product Manager

Pinterest

Full-time
USA
$165k-$339k per year
product management
architecture
data science
leadership
partnerships
Apply for this position

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are seeking a Staff Product Manager to lead the strategy and execution for identity graph and data partnership initiatives, critical to enabling high-performance, privacy-compliant targeting across our CTV advertising platform. This role will focus on developing and refining identity resolution capabilities, managing graph-based data integrations, and expanding the reach and accuracy of our audience recognition and measurement infrastructure.

Success in this role will require a blend of deep technical expertise in identity data, graph modeling, and data architecture, as well as strong product instincts and cross-functional leadership skills. You will work closely with Engineering, Data Science, and external data partners to build a resilient and scalable identity foundation for precise audience targeting and measurement.

What you'll do:

  • Own the identity product strategy at tvScientific

    • Lead the product vision for tvScientific’s identity graph, enabling persistent, multi-device recognition across CTV and digital channels.

    • tvSci Identity will service multiple teams throughout the product and engineering ecosystem, it will be your role to align with leadership of those teams to gather requirements, define goals and monitor success.

    • Partner with Data Engineering and Data Science to architect and optimize graph-based data models that represent user identity, household relationships, and device linkages.

    • Design APIs and services for real-time identity resolution, enrichment, and activation in programmatic ad workflows.

  • Grow identity data partnerships

    • Source, evaluate, and onboard third-party identity and behavioral data providers to enhance graph completeness and targeting capabilities.

    • Work with Legal, Security, and Data teams to ensure all data partnerships comply with CCPA, GDPR, and other global privacy standards.

    • Lead the technical integration and operationalization of new identity and graph enrichment partners, ensuring reliable ingestion, mapping, and deployment.

    • Maintain an ongoing view of the identity and data ecosystem, and recommend partnership or build strategies accordingly.

  • Deliver world-class adtech product

    • Write detailed product requirements, data specifications, and user stories for identity graph services and data integration projects.

    • Coordinate with Engineering and Infrastructure teams to deliver performant graph storage, traversal, and querying systems.

    • Support Sales, Marketing, and Customer Success with technical narratives that explain the role and value of identity resolution in CTV targeting.

    • Define and monitor key metrics related to graph quality (e.g., match rates, accuracy, persistence), identity coverage, and performance impact.

  • Drive Industry Leadership

    • Stay current with advancements in privacy-enhancing technologies (PETs), identity standards, and regulatory shifts impacting identity data use in advertising.

    • Represent tvScientific in industry forums and with partners to position the company as a leader in CTV identity and data interoperability.

What we're looking for:

  • Experience in product management, technical partnerships, or solutions engineering roles focused on data-driven products, audience targeting, or marketing technology.

  • Strong background working with Data Engineering and Data Science teams to operationalize audience strategies.

  • Expertise in audience segmentation, identity resolution, data onboarding, and activation workflows.

  • Experience sourcing, integrating, and managing third-party data partnerships.

  • Wide array of data analytics experience and a tenacity for driving to comprehension and organization of large datasets. 

  • Solid technical acumen — including APIs, data pipelines, audience graphs, and privacy frameworks. Ideal candidates should be able to operate directly on the datasets without engineering support.

  • Exceptional communication skills, translating technical details into business value.

  • Experience within the adtech ecosystem is required, with Connected TV (CTV) experience a strong plus.

In-Office Requirement Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE

Apply for this position
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About the job

Full-time
USA
Senior Level
$165k-$339k per year
Posted 8 hours ago
product management
architecture
data science
leadership
partnerships

Apply for this position

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Staff Product Manager

Pinterest

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are seeking a Staff Product Manager to lead the strategy and execution for identity graph and data partnership initiatives, critical to enabling high-performance, privacy-compliant targeting across our CTV advertising platform. This role will focus on developing and refining identity resolution capabilities, managing graph-based data integrations, and expanding the reach and accuracy of our audience recognition and measurement infrastructure.

Success in this role will require a blend of deep technical expertise in identity data, graph modeling, and data architecture, as well as strong product instincts and cross-functional leadership skills. You will work closely with Engineering, Data Science, and external data partners to build a resilient and scalable identity foundation for precise audience targeting and measurement.

What you'll do:

  • Own the identity product strategy at tvScientific

    • Lead the product vision for tvScientific’s identity graph, enabling persistent, multi-device recognition across CTV and digital channels.

    • tvSci Identity will service multiple teams throughout the product and engineering ecosystem, it will be your role to align with leadership of those teams to gather requirements, define goals and monitor success.

    • Partner with Data Engineering and Data Science to architect and optimize graph-based data models that represent user identity, household relationships, and device linkages.

    • Design APIs and services for real-time identity resolution, enrichment, and activation in programmatic ad workflows.

  • Grow identity data partnerships

    • Source, evaluate, and onboard third-party identity and behavioral data providers to enhance graph completeness and targeting capabilities.

    • Work with Legal, Security, and Data teams to ensure all data partnerships comply with CCPA, GDPR, and other global privacy standards.

    • Lead the technical integration and operationalization of new identity and graph enrichment partners, ensuring reliable ingestion, mapping, and deployment.

    • Maintain an ongoing view of the identity and data ecosystem, and recommend partnership or build strategies accordingly.

  • Deliver world-class adtech product

    • Write detailed product requirements, data specifications, and user stories for identity graph services and data integration projects.

    • Coordinate with Engineering and Infrastructure teams to deliver performant graph storage, traversal, and querying systems.

    • Support Sales, Marketing, and Customer Success with technical narratives that explain the role and value of identity resolution in CTV targeting.

    • Define and monitor key metrics related to graph quality (e.g., match rates, accuracy, persistence), identity coverage, and performance impact.

  • Drive Industry Leadership

    • Stay current with advancements in privacy-enhancing technologies (PETs), identity standards, and regulatory shifts impacting identity data use in advertising.

    • Represent tvScientific in industry forums and with partners to position the company as a leader in CTV identity and data interoperability.

What we're looking for:

  • Experience in product management, technical partnerships, or solutions engineering roles focused on data-driven products, audience targeting, or marketing technology.

  • Strong background working with Data Engineering and Data Science teams to operationalize audience strategies.

  • Expertise in audience segmentation, identity resolution, data onboarding, and activation workflows.

  • Experience sourcing, integrating, and managing third-party data partnerships.

  • Wide array of data analytics experience and a tenacity for driving to comprehension and organization of large datasets. 

  • Solid technical acumen — including APIs, data pipelines, audience graphs, and privacy frameworks. Ideal candidates should be able to operate directly on the datasets without engineering support.

  • Exceptional communication skills, translating technical details into business value.

  • Experience within the adtech ecosystem is required, with Connected TV (CTV) experience a strong plus.

In-Office Requirement Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE

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