Staff Product Manager (Recommendations)

🇮🇳 Bengaluru, IN Presencial Publicado Abr 15, 2026

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LocalizaçãoBengaluru, IN

ModalidadePresencial

IdiomaEnglish

Publicado15 de Abril de 2026

Última verificação8 de Maio de 2026

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 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.