Super Doctor App Product Lead (toC)
Beijing-based AI company that develops large language models and AI-native products, including hosted model APIs and the Baixiaoying assistant.
Funding history
About Baichuan AI (Baichuan Intelligent Technology)
Baichuan Intelligent Technology builds general-purpose and medical large-language models, provides developer-facing API services, and operates AI-native applications.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead the consumer Super Doctor App from positioning to scale. You'll set product direction, design AI interactions for health consultation and management, work with algorithm and medical teams on model requirements and evaluation, own user growth metrics, build medical safety and privacy boundaries into the product, and lead the team.
Requirements
- Mature To C product experience as product lead or core business lead of a mass-market app with verifiable results
- Experience in AI healthcare, internet healthcare, digital health or AI assistants
- Strong product judgment from direction to interaction and content quality details
- Understanding of large model capabilities and limits including multi-turn dialogue, memory, retrieval, personalization and evaluation
- Solid user research, data analysis and growth skills with 0-to-1 or 1-to-N experience
- Team management and cross-disciplinary collaboration skills; prudent on medical safety and privacy
- Nice to have: led AI health assistant, smart consultation, health management or medical service app
- Nice to have: experience turning complex medical information into actionable advice
- Nice to have: independent app building or long-term user relationship experience
Responsibilities
- Define product direction, target users, positioning and roadmap
- Design core AI experiences for health consultation, symptom understanding, report interpretation, care guidance and health management
- Define model capability requirements and evaluation standards with algorithm, engineering and medical teams
- Build metrics for activation, retention, satisfaction and task completion, and drive growth through research and experiments
- Embed medical safety, privacy and compliance into product design and define AI service boundaries
- Build and manage the product team and drive key projects to delivery