Staff Product Manager -Tech

Overview

Staff-level Technical Product Manager (PM-T) supporting the development and execution of AI/ML capabilities that power context-aware content localization workflows within Content Intelligence.

What you'll do

• 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 leverage metadata, character relationships, dialogue history, content intelligence, and editorial feedback.
• Collaborate with AI/ML teams to operationalize context-aware localization systems utilizing large language models (LLMs), metadata enrichment, retrieval-based approaches, and multimodal content understanding.
• Facilitate near-term roadmap planning and coordination across engineering and partner teams supporting localization and content intelligence initiatives.
• Drive cross-functional alignment and decision-making across AI/ML engineering, media supply chain, global content operations, human-in-the-loop (HITL) operations, editorial, legal, accessibility, and external vendor partners to remove blockers, manage dependencies, and ensure successful execution.
• Partner with Product Data Science to define and evaluate experimentation frameworks, interpret results, and assess localization quality, model performance, post-edit efficiency, workflow productivity, and business impact.
• Work with engineering and system architects to define integration requirements across localization supply chain systems, order management platforms, editorial tools, content management systems, metadata services, and adjacent AI/ML platforms.
• Assist in evaluating the impact of feature changes across adjacent systems on localization workflows and AI/ML pipelines, working with partner teams to scope dependencies and downstream effects.
• Collaborate with stakeholders across content operations, localization teams, marketing, and cross-functional technology teams to gather requirements and incorporate feedback while managing the uncertainty inherent in AI/ML development.
• Partner with editorial and localization operations teams to design and optimize human-in-the-loop workflows, ensuring reviewer feedback mechanisms align with model evaluation, quality measurement, and continuous improvement objectives.
• Directly support product operations, including triaging user feedback, investigating product issues, and partnering with engineering and program management to prioritize fixes and enhancements.

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, with the 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.

Nice to have

• Background in Computer Science, Engineering, Data Science, or a related technical field.
• Familiarity with language AI technologies and media localization workflows, including Automatic Speech Recognition (ASR), Machine Translation (MT), Large Language Models (LLMs), Text-to-Speech (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.
• Comfortable working with AI evaluation methodologies and quality metrics, including precision, recall, confidence scoring, translation quality assessment, and human evaluation frameworks.

Details

• Location: Bangalore - Embassy Tech Village.
• Hands-on product management role with a strong emphasis on execution, cross-functional coordination, and operationalizing AI/ML capabilities.