About the Role
We are looking for a strategic, execution-focused Product Manager to lead the development and optimization of AI-driven skin imaging and diagnostic solutions. This role requires a deep understanding of imaging technology, AI-driven analytics, and B2B SaaS product execution.
As a key member of our team, you will own the product lifecycle from concept to implementation, working closely with AI engineers, data scientists, and enterprise customers. You will be responsible for shaping the next generation of AI-powered skin analysis, ensuring that our solutions meet the needs of global skincare brands, beauty tech enterprises, and professional skin assessment applications.
The ideal candidate will have a strong technical background, business acumen, and the ability to drive high-impact initiatives that scale across different markets.
Key Responsibilities
1.B2B SaaS & Enterprise Product Execution
2.AI-driven Skin Imaging & Analytics Product Strategy
3.Market & Customer Collaboration
4.Performance Metrics & Growth Optimization
Requirements
Must-Have
✅ 3+ years of product management experience in AI-driven imaging, computer vision, SaaS platforms, or B2B software development.
✅ Strong understanding of imaging technology, AI-powered analytics, and real-time data processing.
✅ Experience in SaaS product execution, SDK integration, API-based workflows, and cloud/on-premise deployments.
✅ Proficiency in Mandarin & English (spoken and written); additional languages (such as Japanese, Korean, or French) are a plus.
✅ Data-driven decision-making skills, with experience in tracking KPIs, A/B testing, and iterative product optimization.
✅ Strong cross-functional collaboration skills, with the ability to work closely with AI engineers, software developers, and enterprise customers.
Nice-to-Have
⭐ Experience in AI-driven imaging applications, beauty tech, or consumer-grade skin analysis platforms.
⭐ Familiarity with deep learning-based image enhancement, computer vision algorithms, or real-time processing pipelines.
⭐ Prior exposure to enterprise SaaS business models, data privacy regulations (GDPR, HIPAA), or cloud-based AI infrastructure.