Job Responsibilities:

1. Responsible for selecting, optimizing, and formulating strategies for product model capabilities, improving the accuracy and response quality of key aspects such as understanding, generation, and reasoning;

2. Collaborate with R&D and algorithm teams to lead work on prompt construction, evaluation system setup, and optimization of the data feedback loop;

3. Explore and define AI usage in cutting-edge scenarios, such as intelligent summarization, reasoning-based Q&A, multi-turn context understanding, and multi-modal content integration;

4. Establish a product innovation experiment mechanism, promoting implementation paths by combining scenario potential and technical feasibility;

5. Continuously track LLM technology trends (such as RAG, A2A, Agent, Tool-Use, etc.) and evaluate their application potential and value within products.

Qualifications:

1. Bachelor¡¯s degree or above, preferably in computer science, artificial intelligence, software engineering, or related fields;

2. Experience in large model product strategy, or more than five years of product experience in deep AI capability collaboration;

3. Familiar with LLM industry trends, with basic model understanding and experimental mindset;

4. Able to translate technical capabilities into high-value features for users;

5. Possess strong cross-team collaboration and execution skills, capable of advancing innovative projects in uncertain environments;

6. Background in AI search, Q&A, recommendation, or multi-modal understanding products preferred;

7. Proficient in packaging and presenting product solutions for key account (KA) clients.