Staff Product Manager

Role Overview

• 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.
• 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.
• 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.
• 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.

Requirements

• 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.
• Exceptional communication skills, translating technical details into business value.
• Experience within the adtech ecosystem is required, with Connected TV (CTV) experience a strong plus.

Benefits

• Equity
• Flexibility to do your best work
• Career development opportunities