Walt Disney-posted 6 months ago
$152,200 - $204,100/Yr
Full-time • Senior
New York, NY
Motion Picture and Sound Recording Industries

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On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. A few reasons why we think you'd love working for Disney Entertainment & ESPN Technology include building the future of Disney's media business, reaching and scaling products that delight millions of consumers, and innovating groundbreaking products and techniques that shape industry norms and enhance audience experiences. The Product & Data Engineering team is responsible for end-to-end development for Disney's world-class consumer-facing products, including streaming platforms Disney+, Hulu, and ESPN+, and digital products & experiences across ESPN, Marvel, Disney Studios, NatGeo, and ABC News. The team drives innovation at scale for millions of consumers around the world across various platforms, powering core experiences like personalization, search, messaging, and data. This role involves building and maintaining our Audience Manager Platform (AMP), a centralized Disney audience data platform that captures & processes all Disney consumers' cross-channel behavior and delivers varying summarizations in a timely manner to multiple endpoints to support all business needs. At its core, it is a product that provides a comprehensive source of truth for customer data, built around customer profiles to provide insights from across the business so stakeholders can quickly act on the data through activation pipelines. The role requires expert knowledge of building scalable, fault-tolerant data processing pipelines and backend to ensure the reliable delivery of audience data.

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