Product Manager

Job Summary

As a Product Manager for Search & Conversational Discovery, you will work at the intersection of product, data, engineering, design, and AI/ML to build experiences that help millions of users discover and engage with content. You will own well-defined product problem areas across Search and Conversational Voice Discovery (CVD), from identifying user and business opportunities to defining solutions, running experiments, and measuring impact.

You will use data, user insights, experimentation, and structured problem-solving to improve how users find, discover, and interact with content. This is an opportunity to work on highly visible consumer experiences across JioHotstar's 500M+ user base while developing deep expertise in Search, conversational experiences, and AI/ML-powered product development.

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 Search team sits within the Viewer Experience org and is responsible for helping every user find exactly what they're looking for through text search.

We blend world-class engineering, ML/NLP, design, and data to deliver a fast, relevant text search experience at massive scale. If you're passionate about building intelligent search and query-understanding systems that measurably improve how hundreds of millions of users discover content, join us in shaping the future of entertainment discovery.

Key Responsibilities

• Own specific product problem areas across Search and/or CVD, taking them from problem discovery and definition through execution, launch, experimentation and measurement.
• Analyze user behavior, search/query data, product funnels, and key metrics to identify gaps and opportunities that can improve content discovery and engagement.
• Translate user and business problems into clear product requirements, hypotheses, success metrics, and actionable product roadmaps.
• Partner closely with Engineering, ML/Data Science, Design, and other stakeholders to prioritize, build, test, and launch product improvements.
• Work on areas such as search relevance, query understanding, suggestions, content discovery, conversational flows, voice interactions, and AI-powered discovery experiences, depending on the problem area.
• Design and evaluate A/B experiments, interpret results, and use learnings to continuously improve the product.
• Develop an understanding of how ML/AI systems work in production, including model inputs, outputs, evaluation metrics, limitations, and their implications for product decisions.
• Monitor product performance after launch and take ownership of key KPIs and quality metrics for the areas you own.
• Work with the broader Search/CVD team to understand dependencies and ensure that improvements are consistent with the overall product strategy.
• Benchmark competitor experiences, conduct user research where relevant, and bring external insights into product decisions.
• Respond quickly to changing user needs, content launches, live events, and other business priorities that impact discovery and conversational experiences.
• Communicate product decisions clearly through PRDs, product reviews, GTM documents, data analysis, and stakeholder discussions.

Skills and Attributes for Success

• Strong product thinking: Ability to break ambiguous problems into structured, solvable problems and identify the highest-impact opportunities.
• Data-driven mindset: Comfortable working with product metrics, funnels, query/user data, experiments, and using data to make decisions.
• Strong execution: Demonstrated ability to work with cross-functional teams and consistently take products/features from idea to launch.
• Customer empathy: Ability to understand user pain points and translate them into meaningful product improvements.
• Analytical thinking: Ability to form hypotheses, evaluate alternatives, interpret experiment results, and make clear recommendations.
• AI/ML curiosity: Working understanding of AI/ML concepts and a strong interest in applying them to consumer products. Familiarity with LLMs, NLP, recommendation/search systems, or conversational AI is a plus.
• Clear communication: Ability to articulate problems, product decisions, trade-offs, and requirements with clarity and structure.
• Ownership: Takes responsibility for outcomes rather than simply completing assigned tasks; proactively identifies issues and drives them to resolution.
• Collaboration: Comfortable working closely with Product, Engineering, Design, Data Science, ML, and other teams.
• Learning agility: Able to quickly build domain expertise in complex areas such as Search, relevance, conversational AI, and content discovery.

Preferred Education and Experience

• Bachelors/Masters degree or equivalent with minimum 2+ years of experience in product management preferably building consumer-facing digital products.
• Experience owning products/features end-to-end, from problem definition to launch and post-launch measurement.
• Strong experience with data-driven product development and experimentation.
• Exposure to Search, Recommendations, AI/ML, NLP, GenAI, conversational products, voice interfaces, or content discovery is preferred.
• Experience working with engineering and/or ML teams on technically complex products is a plus.
• Demonstrated track record of measurable product impact, rather than only feature delivery.

About JioStar

Perched 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.