Staff Product Manager -Tech
Warner Bros. Discovery
- Location
- Bangalore - Embassy Tech Village
- Work model
- On-Site
- Level
- Staff
- Posted
- 14h ago
About this role
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
Job Description
Staff Product Manager, Technical (PM-T) – Content Intelligence About Warner Bros. Discovery: Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com. Meet Our Team: When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons. and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Roles and Responsibilities : The Content Intelligence team is seeking a Staff-level Technical Product Manager (PM-T) to support the development and execution of AI/ML capabilities powering next-generation content localization workflows. This role focuses on context-aware localization, including transcription, subtitling, translation, captioning, audio description and dubbing workflows, as well as content intelligence capabilities that improve localization quality through scene, character, dialogue, and metadata awareness. These capabilities play a critical role in expanding the global reach, accessibility, and discoverability of WBD content by enabling content availability across more languages, markets, and audience segments. This is a hands-on product management role with a strong emphasis on execution, cross-functional coordination, and operationalizing AI/ML capabilities within content localization workflows. The ideal candidate is detail-oriented, comfortable working closely with engineering and program management, and experienced in defining requirements and driving delivery for AI/ML-powered systems and backend platforms.
Key Responsibilities
Partner with engineering and program managers to drive execution across sprint cycles, including backlog management, story writing, feature clarification, dependency management, and release planning. Write product requirement documents (PRDs) and define detailed functional and technical specifications for AI-powered localization workflows, including translation, dubbing, captioning, subtitle generation, audio description, editorial review, quality evaluation, and workflow orchestration systems. Define and support capabilities that leverage content context, including character identity, dialogue history, scene metadata, terminology, style guides, content metadata, and franchise-specific knowledge to improve localization quality and consistency. Support the evolution of localization workflows from asset-level processing to context-aware systems that