Staff Product Manager – Tech

Job Description

• 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

• 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

• 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