Staff Product Manager

JioStar; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

JioStar is seeking a Staff Product Manager to shape a product strategy that drives measurable improvements in content discovery and user engagement across JioHotstar’s 500M+ user base. You’ll partner with senior product and engineering peers, lead ML-driven recommendations initiatives, and influence roadmaps across the Recommendations, Search, and Growth teams while mentoring junior PMs.

Join a data-driven, fast-moving team that blends ML, data, design, and infrastructure to deliver personalized

Qualifications

• 7+ years of experience with product management.
• 2+ years owning ML or recommendation products at consumer scale.
• Fluency in ML product lifecycle: feature engineering, experiment design, metrics interpretation.

Responsibilities

• Conduct research and analysis on recommendation quality to determine ROI of personalisation investments.
• Translate requirements by assessing user signals, model performance, and content catalogue dynamics.
• Influence roadmaps across Recommendations, Search, and Growth teams.
• Collaborate with ML Engineering, Data Science, and Platform teams.
• Respond swiftly to content launches and events, communicating downstream impacts.

Skills

ML fundamentals

Product strategy

Cross-functional leadership

A/B testing / experimentation

Data-driven decision making

Communication to leadership

Roadmap influence

Education

Bachelor's/Master's degree

Job description

Job Summary:

As a Staff Product Manager, 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 across JioHotstar’s 500M+ user base.

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.

We blend world-class engineering, ML, design, and data to deliver a seamless, personalised, and engaging streaming experience at massive scale. If you’re passionate about building intelligent, performant recommendation systems that measurably improve how hundreds of millions of users discover content, join us in shaping the future of streaming.

Key Responsibilities

• Conduct thorough research and analysis on recommendation quality, user engagement patterns, and content discovery gaps to generate actionable insights and determine ROI of personalisation investments.
• 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, including integrations with Search, Watch Experience, and Growth.
• Collaborate effectively with ML Engineering, Data Science, and Platform teams, contributing to roadmaps and prioritisation decisions beyond the immediate recommendations domain
• Show agility in responding to external signals like content launches, live sports events, seasonal shifts, enabling swift roadmap adjustments and ensuring transparent communication of downstream impacts on recommendation quality.
• 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, driving strategic advancements through innovation and transformation
• Actively participate in team-building initiatives, including contributing to hiring processes

Skills and attributes for success:

• Communicate clearly and effectively, with precise articulation and logical progression of ideas, equally comfortable writing ML-facing product requirements and presenting recommendation strategy to senior leadership
• Apply structured frameworks and logical thinking to address complex personalisation problems, asking the right questions to determine whether an issue is rooted in data quality, model behaviour, or product definition
• Demonstrate the ability to bridge business problems and ML solutions, translating user and product goals into well-scoped ML problem formulations, and conversely, grounding algorithmic improvements in measurable business or user outcomes
• Demonstrate sufficient understanding of ML fundamentals, including how recommendation models are trained, evaluated, and deployed, to have substantive technical conversations with Data Scientists and ML Engineers, challenge assumptions, and make informed prioritisation decisions
• Leverage a data-driven mindset to derive insights from metrics and make well-informed product decisions
• Show strong user empathy, using structured problem-solving to address pain points through hypothesis-building and solution development
• Benchmark competitors and validate findings through experimentation, maintaining high standards for product roadmap inclusion
• Confidently tackle ambiguous problems with minimal supervision, taking decisive action across the organization
• Foster a collaborative, respectful work environment, open to feedback, while mentoring junior PMs to success and effectively influencing without formal authority

Preferred education and experience:

• Bachelors/Masters degree or equivalent preferred. Minimum 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, with a demonstrable track record of shipping measurable metric improvements, not just features.
• Fluency in the ML product lifecycle: feature engineering, A/B experiment design, metric interpretation, and launch readiness

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.