AI Product Leader
Job Description
- Lead and manage a team responsible for researching and advancing the application of AI large language models across various business scenarios in Web3 trading. Develop product strategies and plans at the application level.
- Understand general large-model technology stacks, collaborate with the technical R&D team to ensure the technical feasibility of product development, and be accountable for AI product outcomes. Continuously diagnose issues, analyze data, optimize models, train, and operate for performance improvements.
- Stay informed about industry trends, competitors, and user experiences. Maintain a forward-thinking perspective on the development of large-model technologies and continuously improve AI product capabilities through feature iteration and operational enhancements to achieve commercial results.
Job Requirements
- Bachelor's degree or higher, with at least 3 years of experience as a product manager, including at least 2 years in natural language processing, reinforcement learning, or artificial intelligence. Data experience is a plus.
- At least 2 years of experience in the Web3 field.
- Over 5 years of team management experience, with the ability to coordinate across product, operations, prompt design, annotation, engineering, algorithms, and sales to drive commercialization.
- A strong interest in large language models with a certain level of technical understanding.
- Insight into innovative products, capable of identifying internal development opportunities and converting them into product requirements.
- Experience with generative large-model products or AIGC-related product design is preferred.
BD Manager
Job Description
- Responsible for expanding Web3 industry projects, exchanges, channels, and potential partners to achieve business collaborations.
- Develop cooperation plans, follow up on collaborations, and maintain relationships.
- Participate in various Web3 industry summits to identify potential collaboration opportunities.
- Build and maintain relationships with external KOLs, media, and industry event organizers, and drive cooperation efforts.
- Keep track of industry news and trends, integrate hot topics, and provide clients with event marketing or topic-sharing plans.