Back
Tier-1 brand and metro location increase competition, but senior, niche AI/localization focus limits generalist applicants.
Strong AI/ML product management and media localization expertise reduces cross-industry transferability.
Explicit 9–12 years plus technical AI/ML, cloud, and product requirements create strict filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead the development and execution of AI/ML capabilities for next-generation content localization workflows involving transcription, subtitling, translation, captioning, audio description, and dubbing.
Drive cross-functional coordination and operationalize context-aware localization systems using large language models, metadata enrichment, and multimodal understanding to improve localization quality and global content reach.
Manage sprint cycles including backlog, PRDs, feature definitions, dependencies, release planning, and prioritize fixes to ensure scalable, measurable improvements in localization quality, efficiency, and accessibility.
9–12 years of product management experience including technical product management with strong experience in agile development and sprint execution.
Familiarity with machine learning systems including deep learning and large language models, operationalized in production environments.
Experience working with AI/ML systems on cloud platforms (AWS or GCP) particularly in human-in-the-loop, content processing, or post-editing workflows.
Background in Computer Science, Engineering, Data Science or related technical field preferred but not strictly mandatory.
Experienced in managing complex AI/ML-powered content workflows with a focus on localization and media domain products.
Proficient in defining detailed product requirements involving context-aware localization using metadata, character/dialogue context, and editorial feedback mechanisms.
Skilled in cross-functional stakeholder alignment across engineering, AI/ML teams, content operations, editorial, legal, and vendor partners to deliver measurable operational impact.