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Job Summary: As a Senior Engineering Manager – Personalization, you’ll lead the engineering efforts behind some of the most critical systems in the user journey—tray ranking, page ranking, and core recommendation infrastructure. You will own and evolve the core platforms that drive personalization at scale, powering dynamic and contextual discovery experiences across the product. Your teams will be responsible for building large-scale, low-latency systems that determine what content a user sees on the homepage and across key surfaces. These systems directly influence engagement, retention, and satisfaction by surfacing the most relevant content for each user. You will lead and take full ownership of a cross-functional team spanning Machine Learning, Data Science, and Engineering to define and drive the future of personalized experiences. Your work will push the boundaries of innovation in multi-objective ranking, exploration strategies, and real-time inference at scale
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.
Key responsibilities:
- Lead and scale the Core Recommendations & Surfaces team, owning critical systems that power retrieval, ranking, and core recommendation infrastructure for personalized experiences across the platform
- Drive the technical strategy and roadmap for core recommendation platforms—optimizing relevance, exploration, and user engagement through scalable, low-latency, real-time systems
- Architect backend services capable of serving hundreds of millions of users and handling massive concurrency spikes (e.g., 20x during live events) with sub-second latencies
- Partner with Product, UX, and Data Science to define, build, and experiment with personalization enablers and surface-level improvements that impact discovery and engagement funnels
- Elevate engineering standards by championing best practices in measuring model efficacy, observability, system resilience, latency optimization, cost efficiency, and experimentation velocity
- Own and improve critical personalization metrics, such as engagement uplift, surface click-through rates, diversity ,coverage, and precision/recall of ranked items
- Foster a high-performance culture centered around ownership, first-principles thinking, rapid iteration, and a strong focus on end-user outcomes
- Hire, mentor, and grow a world-class engineering team, driving career development and delivering robust, high-quality, impactful systems
- Create effective mechanisms to set goals for the team, create execution plans and track progress against those.
- You'll collaborate with other Developers, Program Managers, and tech support teams, in an agile environment to estimate and deliver objectives set together as a team.
Skills and attributes for success:
- Experienced in managing multiple software engineering teams 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 recommender systems, NLP, information retrieval, relevance, ranking, or large language models
- Strong track record previously as an individual contributor having engineered and shipped services & features at scale
- Expertise in any of the programming languages (Python or Java or Golang)Hands-on architectural or distributed systems experience
- Experience with high scale databases - MySQL, NoSQL (Scylla, Cassandra, Redis, DynamoDB)
- Experience using any major cloud provider (AWS, Azure, or Google Cloud) for production applications
- Experience with CI/CD processes
- 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 and experience:
- Bachelors/Masters in Computer Science, Computer Engineering, or Machine Learning with 12+ years of experience in software development and 4 years of experience in managing software development teams.
About Us
Perched firmly at the nucleus of spellbinding content and innovative technology, JioStar is a leading global media & entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week, igniting the dreams and aspirations of hundreds of million people across geographies.
JioStar is an equal opportunity employer. The company values diversity and its mission is to create a workplace where everyone can bring their authentic selves to work. The company ensures that the work environment is free from any discrimination against persons with disabilities, gender, gender identity and any other characteristics or status that is legally protected.
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