Description

Key Skills: Product Management, AI/ML Systems, Machine Learning, Large Language Models, Cloud Platforms, Technical Product Management, Agile Development, Requirements Definition, Cross-functional Coordination, Product Strategy

Good to Have Skills: Background in Computer Science, Engineering, or Data Science. Familiarity with language AI technologies including Automatic Speech Recognition (ASR), Machine Translation (MT), Text-to-Speech (TTS), dubbing, captioning, subtitling, and audio description. Experience with context-aware localization systems, terminology management, style guides, character context, dialogue history, and retrieval-based approaches. Knowledge of localization quality evaluation methodologies, human-in-the-loop review processes, post-editing workflows, AI evaluation methodologies, precision, recall, confidence scoring, translation quality assessment, and human evaluation frameworks.

Roles & 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 leverage metadata, character relationships, dialogue history, content intelligence, and editorial feedback to improve quality and consistency at scale.
• 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.
• 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.
• Collaborate with stakeholders across content operations, localization teams, marketing, and cross-functional technology teams to gather requirements and incorporate feedback while managing uncertainty in AI/ML development.

Experience Required: 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

Key Skills

Education

Any Graduate