Co-op Product Manager: AI-Powered Streaming Personalization

Join the team shaping the future of streaming experiences at ViX. We are seeking a highly motivated Product Manager Intern to support personalization initiatives and emerging user experiences across the ViX platform ecosystem. This opportunity is ideal for a recent graduate or graduate‑level student interested in product management, streaming technology, data‑driven decision making, AI‑powered experiences, and user engagement. In this role, you will collaborate cross‑functionally with Product, Engineering, Data, CRM, Analytics, and Content teams to support experimentation, insights, operational execution, and strategic initiatives focused on personalization, content discovery, engagement, and next‑generation streaming experiences. Responsibilities Support the execution of personalization and new user experience initiatives across web, mobile, and Connected TV (CTV) platforms Analyze user behavior, engagement funnels, and content performance to identify optimization opportunities Build queries, dashboards, reports, and KPI tracking to support product decisions Assist with experimentation analysis, instrumentation validation, and product performance monitoring Coordinate initiatives across Product, Engineering, CRM, Analytics, and Content teams Prepare product documentation, timelines, executive summaries, meeting notes, and stakeholder follow‑ups Help track project dependencies, blockers, risks, and delivery progress for strategic initiatives Support operational execution and reporting for personalization programs and feature launches Participate in initiatives related to recommendation systems, streaming innovation, and AI‑driven user experiences Required Qualifications Recently graduated or currently pursuing a degree in Computer Science, Information Systems, Engineering, Data Analytics, Business Analytics, or a related field Strong analytical, organizational, and problem‑solving skills Basic knowledge of SQL, dashboards, and business intelligence concepts Understanding of product funnels, KPIs, and data‑informed decision making Ability to collaborate effectively across multiple teams and stakeholders Strong written and verbal communication skills Comfortable working in fast‑paced, agile environments Preferred Qualifications Interest in streaming, media, entertainment, personalization, recommendation systems, or consumer technology Familiarity with analytics and BI tools such as Looker, Tableau, Power BI, Amplitude, Mixpanel, Segment, or similar platforms Exposure to experimentation frameworks, A/B testing, or product analytics concepts Familiarity with Agile workflows and collaboration tools such as Jira and Confluence Basic understanding of APIs, event instrumentation, or data pipelines Curiosity about AI‑driven product experiences and personalization strategies Spanish proficiency is a plus, as many stakeholders are based across LATAM and much of ViX content is in Spanish What You'll Learn Exposure to large‑scale streaming product operations and personalization strategies Experience partnering with cross‑functional teams across Product, Engineering, Analytics, CRM, and Content Hands‑on participation in experimentation frameworks, recommendation systems, and AI‑driven product experiences Exposure to executive‑level product discussions and strategic decision making Experience defining and tracking KPIs such as engagement, CTR, conversion, retention, watch time, and registration funnels Why Join Us? At TelevisaUnivision, we are building the future of Spanish‑language streaming and digital entertainment. This co‑op offers the opportunity to work on meaningful, high‑impact initiatives while gaining exposure to innovative product experiences at scale. If you are curious, analytical, collaborative, and excited about the future of streaming and personalization, we'd love to hear from you. TelevisaUnivision is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to characteristics protected by law. #J-18808-Ljbffr PVH (Tommy Hilfiger/Calvin Klein)