{"id":2880784,"url":"https://alion.io/job/jiostar-staff-product-manager","title":"Staff Product Manager","company":{"id":8901,"name":"JioStar","domain":"jiostar.com","url":"https://alion.io/company/jio-star","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":40,"ghost_share":0,"stale_share":0.925,"repost_share":0.025,"time_to_fill_p50_days":44,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Product","role_family":"Product","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":59000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1033},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Recommender Systems","optional":true}],"status":"live","first_seen_at":"2026-09-22T00:00:00Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-10-22T01:08:11Z","board_verified":true,"closed_at":null,"days_open":30,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":30},"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.\nAbout 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 Recommendations & Personalisation (P13N) team sits within the Viewer Experience org and is responsible for deciding what content each user sees across every surface of the platform.\nWe 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.\nKey responsibilities\nConduct thorough research and analysis on recommendation quality, user engagement patterns, and content discovery gaps to generate actionable insights and determine ROI of personalisation investments.\nTranslate abstract problem statements into clear requirements by assessing user behaviour signals, model performance, and content catalogue dynamics.\nInfluence roadmaps within and outside the Recommendations team to enhance the broader personalisation ecosystem, including integrations with Search, Watch Experience, and Growth.\nCollaborate effectively with ML Engineering, Data Science, and Platform teams, contributing to roadmaps and prioritisation decisions beyond the immediate recommendations domain\nShow 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.\nTake ownership of at least one key KPI that directly aligns with Product Objectives and Key Results\nDevelop deep expertise in at least one functional area, driving strategic advancements through innovation and transformation\nActively participate in team-building initiatives, including contributing to hiring processes\nSkills and attributes for success:\nCommunicate 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\nApply 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\nDemonstrate 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\nDemonstrate 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\nLeverage a data-driven mindset to derive insights from metrics and make well-informed product decisions\nShow strong user empathy, using structured problem-solving to address pain points through hypothesis-building and solution development\nBenchmark competitors and validate findings through experimentation, maintaining high standards for product roadmap inclusion\nConfidently tackle ambiguous problems with minimal supervision, taking decisive action across the organization\nFoster a collaborative, respectful work environment, open to feedback, while mentoring junior PMs to success and effectively influencing without formal authority\nPreferred education and experience:\nBachelors/Masters degree or equivalent preferred. Minimum 7+ years of experience with at least 5 years of experience in product management\n\nAt least 2 years owning ML or recommendation products at consumer scale, with a demonstrable track record of shipping measurable metric improvements, not just features.\nFluency in the ML product lifecycle: feature engineering, A/B experiment design, metric interpretation, and launch readiness\nAbout JioStar\nPerched 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.\nJioStar 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. 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