AI product manager candidate with a background in industrial design and practical experience in the AI product lifecycle, including 0-1 product development and AI application projects. Proficient in user research, product definition, prototype design, and AI workflow design, with expertise in AI Agent workflow design, prompt structuring, and AI product evaluation.
国烽 梁
Industrial Designer | Shenzhen Zeronium Medical Technology Co., Ltd.
Summary
Education
- Shenzhen Technology University Bachelor, Industrial Design Grade : 18th "Challenge Cup" Competition Jan 2023 - Present
Experience
- Industrial Designer Shenzhen Zeronium Medical Technology Co., Ltd. Apr 2026 - Sep 2026 • 6 mos
Product definition and requirement refinement: Participated in the 0-1 commercialization process of the MomoRay modular pillow, analyzing core requirements based on sleep posture differences, body differences, and support preferences to determine the modular structure as the core product strategy for solving dynamic needs. Defined the structure, form, and usage method for the modular product. Sample validation and iteration: Validated product hypotheses based on sample feedback and promoted the iteration of structural and material solutions. Continuously adjusted product details based on supine and side sleeping feedback and actual usage to advance the solution to mass production. Product to market closed loop: Participated in content expression for product commercialization, responsible for product scenario visuals, e-commerce materials, and social media content. Translated modular structure and support logic into product information for consumers, accumulating experience in the complete process from product definition to market communication.
- Product / Workflow Design MomoRay AI Content OS Jan 2023 - Sep 2023 • 9 mos
Business problem definition: Based on the content production process of MomoRay's real commercial products in product design, e-commerce, and social media, identified issues such as repetitive product fact-checking, inconsistencies across channels, and underutilization of existing content assets. Defined the business problem as 'How to reliably integrate product knowledge into the AI content production process.' AI workflow design: Planned core stages including Brand/Product Context, Task Brief, Content Generation, Quality Check, and Human Review. Explored methods to constrain AI output using structured Context, Prompts, and Rubrics, rather than relying on single generation results. Authenticity and responsibility boundaries: Differentiated between real product facts, AI-generated suggestions, and human verification. Avoided AI models arbitrarily modifying product parameters, brand facts, or actual commercial status. This system serves as the foundation for subsequent AI reconstruction of real commercial projects, rather than presenting it as a pre-existing company production process.
Skills
- AI ProductsExpert
- User ResearchExpert
Languages
- CET-4Native speaker
Certifications
- AI Agent Product Manager UnknownIssued Jan 1901 • Expired Jan 1901