Staff Product Manager (International)

JioHotstar; Bengaluru; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

JioHotstar is seeking a Staff Product Manager to define and drive product strategy across complex spaces. You will own areas end-to-end from identifying opportunities to roadmap and execution, delivering measurable outcomes at scale.

You will collaborate with senior leaders across engineering, design, data, and business to translate insights into actionable roadmaps and customer-centric experiences, shaping entertainment product experiences globally.

Qualifications

• Minimum 7+ years of experience with at least 5 years in product management.
• Experience owning ML/search/recommendation products at consumer scale.
• Fluency in the ML product lifecycle: feature engineering, A/B experiment design, metric interpretation, and launch readiness is a bonus.

Responsibilities

• Conduct thorough research to generate actionable insights and ROI of search investments.
• Translate problems into clear requirements and actionable roadmaps.
• Own and evolve the search relevance roadmap and influence cross-team roadmaps.
• Collaborate with ML Engineering, Data Science, and Platform teams on roadmaps and prioritization.
• Respond to external signals like content launches and events with swift roadmap adjustments.
• Take ownership of key KPIs aligned with organisational objectives.
• Drive strategic advancements through innovation and transformation.

Skills

Product strategy

Roadmapping

Stakeholder management

Data-driven decision making

Education

Bachelor's degree or equivalent

Tools

ML concepts

A/B testing

Job description

As a Staff Product Manager at JioHotstar, you'll work closely with senior product, engineering, design, data, and business leaders to define and drive product strategy across complex and high-impact problem spaces. You will own product areas end-to-end, from identifying user and business opportunities to defining the product vision, roadmap, and execution strategy, and delivering measurable outcomes at scale.

Drawing on strong product judgment, data, customer insights, and experimentation, you will identify opportunities, solve complex problems, and translate them into clear product requirements and actionable roadmaps. You will work closely with cross-functional teams to build scalable, user-centric experiences that drive meaningful improvements in user engagement, satisfaction, and business outcomes.

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 multiple countries and teams work together to build products and experiences that serve users at massive scale.

The Product team sits at the intersection of technology, design, data, and business. We work across diverse product areas to understand customer needs, solve complex problems, and build simple, intuitive, and impactful experiences. We combine strong product thinking, data-driven decision-making, world-class engineering, and design to continuously improve the customer experience.

If you're passionate about solving complex problems, building products at scale, and creating experiences that have a meaningful impact on millions of users, join us in shaping the future of entertainment and digital experiences.

Key Responsibilities

• Conduct thorough research and analysis on query logs, search relevance, and content discovery gaps to generate actionable insights and determine ROI of search investments.
• Translate abstract problem statements into clear requirements by assessing query intent, retrieval & ranking model performance, and catalog coverage.
• Own and evolve the query understanding, search ranking & relevance roadmap, and influence roadmaps within and outside the Search team to enhance the broader discovery ecosystem, including integrating Search insights with Recommendations. .
• Collaborate effectively with ML Engineering, Data Science, and Platform teams, contributing to roadmaps and prioritisation decisions beyond in the search domain.
• Show agility in responding to external signals like content launches, live sports events, and seasonal shifts, enabling swift roadmap adjustments and ensuring transparent communication of downstream impacts on search quality.
• Take ownership of key KPIs that directly aligns with Organisation Objectives and Key Results.
• Develop deep expertise & drive strategic advancements through innovation and transformation.

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 search strategy to senior leadership.
• Apply structured frameworks and logical thinking to address complex query-understanding 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 problem formulations, and conversely, grounding algorithmic improvements in measurable business or user outcomes.
• Demonstrate sufficient understanding of ML and NLP fundamentals, including how ranking and query-understanding 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 query logs and metrics and make well-informed product decisions.
• Show strong user empathy, using structured problem-solving to address pain points across various user cohorts through hypothesis-building and solution development.
• Have a strong customer experience understanding to build and shape what the Search experience looks like for users across Mobile and Large Screen devices.
• 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.
• 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

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 / search / 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 is a bonus.

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.