Job Description
Overview
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. You will own the recommendation surfaces that define what users see on the app. You will draw on data, experimentation, and deep ML product instincts to identify gaps in personalisation quality.
Experience
7+ years
Responsibilities
- Conduct thorough research and analysis on recommendation quality, user engagement patterns, and content discovery gaps
- Translate abstract problem statements into clear requirements by assessing user behaviour signals, model performance, and content catalogue dynamics
- Influence roadmaps within and outside the Recommendations team to enhance the broader personalisation ecosystem
- Collaborate effectively with ML Engineering, Data Science, and Platform teams
- Take ownership of at least one key KPI that directly aligns with Product Objectives and Key Results
- Develop deep expertise in at least one functional area
Eligibility
- 7+ years of experience with at least 5 years of experience in product management
- At least 2 years owning ML or recommendation products at consumer scale
- Bachelors/Masters degree or equivalent preferred
Skills
ML fundamentalsData analysisCommunicationProblem-solvingCollaboration
About Company
JioHotstar is on a mission to deliver delightful experiences to 500+ million customers across the globe, with technology spanning 25+ countries.
