• Backlog Management and Prioritization: Manage the Product Backlog, ensuring items are prioritized, detailed, and ready for development, and handle scope changes and incoming requests. • Refinement and Specification: Write User Stories, epics, and acceptance criteria clearly, applying best practices for Definition of Ready (DoR) and Definition of Done (DoD). • Agile Ceremonies: Lead and actively participate in Scrum ceremonies (Refinement, Planning, Daily, Sprint Review, and Retrospective), ensuring full execution of the rituals. • Validation and Quality Assurance: Validate and approve development team deliveries, ensuring features meet the requested business and functional requirements and minimizing rework. • Metrics Tracking: Monitor agile metrics (velocity, throughput, lead time) and reports (Burndown/Burnup) to ensure sprint predictability and health. • Business-Technical Liaison: Act as a bridge between stakeholders and the engineering team, translating business needs into functional solutions and participating in Product Discovery. • Documentation: Keep product documentation and sprint deliverables up to date and organized in Confluence and other tools. • Design Support: Collaborate in reviewing and validating prototypes and flows (Figma, Miro), supporting usability testing and defining user journeys.

• Operational support and continuous execution of the product backlog • Ensure quality, predictability, and stability of deliveries • Monitor deliveries with technical teams • Support testing and validations

• Perform competitor, customer, and market analysis to identify customer needs, trends market gaps, and new product opportunities. • Develop product positioning, pricing, channel, and marketing strategies. • Recommend product and website enhancements to improve user experience. • Track performance of products to assess success and communicate delivery against metrics. • Define and document product requirements and roadmaps for execution and sales. • Collaborate with cross-functional teams for every stage of product development. • Provide content to create marketing materials such as product slicks/profiles, webinars, presentations, demos, white papers, and product updates. • Coordinate product launch activities including working closely with cross-departmental teams. • Work with the development team to plan, specify and deliver product development projects. • Prioritize the implementation of new features and set specific timelines. • Test new product features before release, provide feedback and prioritize issues. • Identify and prioritize new areas for content development. • Create support and training documents for internal and external users. • Prepare and conduct sales training. • Manage product line life cycle from strategic planning to tactical initiatives and specifies the market requirements in relation to the business’s product. • Ensure product line revenue achievements consistently meet plan. • Create and conduct presentations for executive leadership team to measure product and business plan achievements. • Act as subject matter expert capable of working across technical and non-technical teams to establish the value and importance for strategic eCommerce initiatives. • Create reports to analyze sales data and trends to make product and business decisions.

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