AI Product Leader

Job Description

  1. 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.
  2. 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.
  3. 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

  1. 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.
  2. At least 2 years of experience in the Web3 field.
  3. 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.
  4. A strong interest in large language models with a certain level of technical understanding.
  5. Insight into innovative products, capable of identifying internal development opportunities and converting them into product requirements.
  6. Experience with generative large-model products or AIGC-related product design is preferred.

BD Manager

Job Description

  1. Responsible for expanding Web3 industry projects, exchanges, channels, and potential partners to achieve business collaborations.
  2. Develop cooperation plans, follow up on collaborations, and maintain relationships.
  3. Participate in various Web3 industry summits to identify potential collaboration opportunities.
  4. Build and maintain relationships with external KOLs, media, and industry event organizers, and drive cooperation efforts.
  5. Keep track of industry news and trends, integrate hot topics, and provide clients with event marketing or topic-sharing plans.