01Overview
VZY is building the aggregation layer for how India streams. We bring the country's OTT services together into one experience, with one login, one payment, and one place to find something worth watching, all running on our own billing and entitlement infrastructure. When someone opens the app, everything they see (the home layout, the ranking, the rails, the curated shelves, the sense that something was picked just for them) is the discovery surface. You'll set the vision for how people find something to watch across dozens of services and thousands of titles, and you'll ship the systems that make it work: the layout engine, search, the ranking and recommendation stack, personalization for very different kinds of viewers, and our new curator-led editorial shelves. You'll work day to day with data science, engineering, editorial, and design, and you'll help shape the discovery team as it grows.
Ranking and recommendations, working with data science on the models behind the rails, rows, and results, and deciding what relevance actually means for us.
Personalization across very different viewers (language, genre, price sensitivity, household versus individual), so the surface adapts to each one without the product coming apart at the seams.
Our curator-led editorial shelves, the authored and followable format we're building with the curation team. A track record of AI and ML powered product work, where machine learning was the heart of the experience rather than a feature bolted on afterward. Experience building automation that scales, the kind of system that replaces a hundred manual decisions (ranking, tagging, layout, targeting) with one that learns. Strong data instincts. You can define the right metrics, design honest experiments, and tell a real signal from a vanity one, all in close partnership with data science.
A feel for content and taste, because discovery in entertainment is as much editorial and emotional as it is algorithmic.Discovery isn't a side project at VZY. .
