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Job Summary : As a Staff Product Manager, you’ll work closely with senior product and engineering peers to shape a product strategy that drives measurable improvements in content discovery and user engagement across JioHotstar’s 500M+ user base. About the Team: At JioHotstar, we’re on a mission to deliver delightful experiences to our 500+ million customers across the globe. Our technology spans 25+ countries, with more on the horizon. The Recommendations & Personalisation (P13N) team sits within the Viewer Experience org and is responsible for deciding what content each user sees across every surface of the platform. We blend world-class engineering, ML, design, and data to deliver a seamless, personalised, and engaging streaming experience at massive scale. If you’re passionate about building intelligent, performant recommendation systems that measurably improve how hundreds of millions of users discover content, join us in shaping the future of streaming. Key responsibilities • Conduct thorough research and analysis on recommendation quality, user engagement patterns, and content discovery gaps to generate actionable insights and determine ROI of personalisation investments. • Translate abstract problem statements into clear requirements by assessing user behaviour signals, model performance, and content catalogue dynamics. • Influence roadmaps within a
Indian company
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