Job Summary: As the Senior Director of Engineering – Discovery, you will own and define the end-to-end discovery experience for millions of users, spanning Personalization, Recommendations, Search, CMS, and Merchandising platforms. This role sits at the core of the user journey - determining how users find, explore, and engage with content at scale. You will be responsible not just for execution, but for setting the long-term vision and strategy for discovery systems. You will lead a multi-disciplinary organization of engineering leaders, data scientists, and ML practitioners to build intelligent, scalable, and real-time systems that power content discovery across all surfaces.
About the team: At JioHotstar, the Viewer Experience (VX) org is at the heart of how millions discover, engage with, and fall in love with our platform. We own the end-to-end user journey—from first app launch to daily habit loops—across Search, Personalization, Watch Experience, Interactivity, and more. We blend world-class engineering, ML, design, and data to deliver a seamless, personalized, and engaging OTT experience at massive scale. If you're passionate about building immersive, intelligent, and performant user experiences that delight a billion users, join us in shaping the future of streaming.
The Discovery team drives the "what to watch" experience on Hotstar. We build intelligent systems that help users discover the right content at the right time through personalized recommendations, powerful search, and rich metadata. We combine deep user understanding with scalable infrastructure to ensure users find content they'll love—whether it's their next binge-worthy series, trending live sports, or hidden gems. Our systems operate at massive scale, handling billions of user interactions daily—including impressions, clicks, scrolls, watch events, and search queries.
Key Responsibilities:
Define and execute the long-term vision and strategy for Discovery, aligning it with overall business objectives
Lead and scale a high-performing engineering and ML organization through layered leadership, including Engineering managers and Director
Own the architecture of internet-scale, low-latency systems that power discovery for millions of users
Drive the unification of recommendation systems (retrieval + ranking), search infrastructure (indexing + ranking + NLP), CMS platforms (metadata, tooling & workflows), and merchandising systems (rules, campaigns, experimentation) into a cohesive ecosystem
Enable real-time personalization and contextual decision-making across discovery experiences
Set the strategic direction for next-generation AI/ML systems, including multi-objective ranking, exploration vs. exploitation, and real-time inference
Partner cross-functionally with Product, Design, Business, and Content teams to align strategy with business goals
Ensure operational excellence by improving system reliability, scalability, observability, cost efficiency, and experimentation velocity
Foster a culture of ownership, innovation, and strong outcome orientation across teams
Skills & Attributes for success:
Experienced in managing multiple software engineering teams (50+ engineers) running core AI/ML services and/or ML systems at scale
Previous experience with hands-on work and shipping products in an AI and/or ML domain, like search, recommender systems, NLP, information retrieval, relevance, ranking, or large language models
Hands-on architectural or distributed systems experience
A strong track record of project delivery for large, cross-functional, projects and bringing in and growing engineering talent
Excellent written and verbal communication skills with the ability to present complex technical information clearly and concisely to a variety of audiences
Preferred education & experience
What We Do
A legacy of entertainment, now united as one. Welcome to JioStar - where stories and experiences are infinite!
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