Job Description
Job Summary : As a Staff Product Manager for Recommendations, 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. You will own the recommendation surfaces that define what users see the moment they open the app, spanning personalised, ML-powered recommendations as well as popularity-based and contextual content surfaces. Drawing on data, experimentation, and deep ML product instincts, you will identify gaps in personalisation quality, translate them into clear product requirements, and work with ML and engineering to ship improvements that move retention and engagement metrics at scale. 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 t...
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- Location karnataka, bengaluru
- Job Type Full-time
- Category IT / Computing / Software
- Posted Date June 14, 2026
- Application Deadline July 24, 2026