D
DramaBox
AI Product Manager
Skills
AIProduct Manager
2 months ago
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Important information
Contract type:
Permanent
Location:
Beijing, China
Work mode:
Onsite
Published on:
11 August 2026
What they need
Responsibilities:
- Align with the overseas AI short drama strategy to identify full-chain AI application scenarios; design and launch innovative AI products/tools from 0 to 1; oversee the planning of the AI product matrix to drive business cost reduction and efficiency gains.
- Implement AIGC tools across production stages such as short drama scriptwriting, multilingual audio/video generation, and smart video editing to boost content yield and localization efficiency while cutting production costs.
- Build AI-driven, end-to-end copyright lifecycle capabilities: enable smart parsing, archiving, and tag management of copyright assets; deploy an intelligent review system compliant with overseas regulatory requirements; design automation solutions for copyright intake, listing, and settlement to improve turnover efficiency and data accuracy.
- Drive the iteration of AI capabilities for both internal systems and consumer-facing (C-end) short drama apps; coordinate cross-functional resources; lead end-to-end product implementation and performance retrospectives.
- Track cutting-edge AI technologies and industry applications to explore innovative scenarios and establish reusable AI product capabilities.
Requirements:
- Bachelor's degree or above; 1+ years of experience as an AI Product Manager; background in entertainment/content or global internet industries preferred.
- Familiar with the functional boundaries and implementation paths of mainstream AI technologies (such as LLMs, multimodal generation, and content recognition); capable of independently defining AI product requirements and designing solution specs.
- Strong understanding of the business logic behind short drama content production, copyright operations, and overseas distribution; able to translate operational pain points into actionable AI product solutions.
- Excellent cross-functional collaboration and project management skills, paired with a strong innovation mindset, self-drive, and data-driven analytical thinking.
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