Staff Product Manager – Tech

Warner Bros. Discovery

. Drive execution across sprint cycles through backlog management, story writing, feature clarification, dependency management, and release planning .

Posted 10/14/2026full-timeBangalore • IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in product management with a focus on AI-powered localization workflows, including defining technical specifications, managing dependencies, and collaborating with cross-functional teams. Proficient in evaluating localization quality and optimizing human-in-the-loop processes to enhance efficiency and effectiveness.

Highest-signal resume keywords

Technical Product ManagementPRD WritingAI/ML Systems FamiliarityLocalization Quality EvaluationAgile Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product ManagementFeature DefinitionBacklog ManagementDependency ManagementLocalization WorkflowsMetadata EnrichmentContent Processing PipelinesHuman-in-the-Loop WorkflowsAI Evaluation MethodologiesContext-Aware Systems

Soft Skills

Attention to DetailCollaborationStakeholder ManagementProblem SolvingCommunication

Tools & Technologies

AWSGCPAI/ML PlatformsContent Management SystemsOrder Management Platforms

Industry Keywords

LocalizationMachine LearningLarge Language ModelsAutomatic Speech RecognitionMachine TranslationText-to-SpeechDubbingCaptioningSubtitlingAudio Description

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Drive execution across sprint cycles through backlog management, story writing, feature clarification, dependency management, and release planning
Write PRDs and define functional and technical specifications for AI-powered localization workflows
Define capabilities leveraging character identity, dialogue history, scene metadata, terminology, style guides, content metadata, and franchise-specific knowledge
Evolve localization workflows toward context-aware systems using metadata, character relationships, dialogue history, content intelligence, and editorial feedback
Collaborate with AI/ML teams to operationalize systems using LLMs, metadata enrichment, retrieval-based approaches, and multimodal content understanding
Facilitate roadmap planning and coordination across engineering and partner teams
Drive cross-functional alignment across AI/ML engineering, media supply chain, content operations, HITL operations, editorial, legal, accessibility, and external vendors
Define experimentation frameworks and evaluate localization quality, model performance, post-edit efficiency, workflow productivity, and business impact
Define integration requirements across localization supply chain systems, order management platforms, editorial tools, content management systems, metadata services, and AI/ML platforms
Assess feature-change impacts, dependencies, and downstream effects across adjacent systems and AI/ML pipelines
Gather requirements and incorporate stakeholder feedback across content operations, localization, marketing, and technology teams
Design and optimize human-in-the-loop workflows aligned with model evaluation, quality measurement, and continuous improvement
Triage user feedback, investigate product issues, and prioritize fixes and enhancements with engineering and program management
Deliver scalable AI-powered localization capabilities improving quality, editorial efficiency, accessibility outcomes, throughput, consistency, and cost efficiency

Requirements

What you’ll need

9–12 years of product management experience, including experience as a Technical Product Manager
Strong experience writing PRDs, defining features, and partnering with engineering teams through agile development and sprint execution processes
Familiarity with machine learning systems, including deep learning and large language models, deployed in production environments
Experience working with AI/ML systems on cloud platforms such as AWS or GCP, particularly those involving human-in-the-loop workflows, content processing pipelines, or post-editing workflows
Strong attention to detail and ability to manage multiple concurrent feature tracks, dependencies, and decisions across complex systems
Experience translating business and operational requirements into technical product capabilities and measurable outcomes
Familiarity with language AI technologies and media localization workflows, including ASR, MT, LLMs, TTS, dubbing, captioning, subtitling, and audio description
Experience with context-aware localization systems leveraging metadata, terminology management, style guides, character context, dialogue history, and retrieval-based approaches
Familiarity with localization quality evaluation methodologies, human-in-the-loop review processes, and post-editing workflows
Familiarity with AI evaluation methodologies and quality metrics, including precision, recall, confidence scoring, translation quality assessment, and human evaluation frameworks

Benefits

Comp & perks

Thoughtfully curated benefits
Fast track growth opportunities
Equal opportunity employer
Accessibility adjustments or accommodations during the job application and/or recruitment process, if required
Supportive and celebratory workplace culture
Tools to explore and grow professionally