Job description
Responsibilities
1. Responsible for the core experience design of content consumption products, including the planning and continuous optimization of key features such as playback pages, recommendation feeds, and comment interactions.
2. Analyze recommendation needs based on user behavior data, participate in evaluating the effectiveness of recall and ranking modules, and promote the enhancement of the recommendation experience.
3. Responsible for product version planning and requirement management, producing product requirement documents, flowcharts, and prototypes.
4. Coordinate with development, design, and testing teams to ensure timely and high-quality delivery of requirements.
5. Analyze metrics such as retention rate, activity level, completion rate, and usage duration to identify experience issues and promote the implementation of optimization solutions.
6. Continuously research long videos, short videos, and competing content platforms to provide a basis for product planning and decision-making.
7. Collaborate with operations, content, and business teams to implement content strategies, activity designs, and membership systems.
Requirements
1. Bachelor's degree or above, with more than three years of experience as a C-end product manager.
2. Solid product methodology, capable of independently completing requirement breakdown, solution design, and product implementation.
3. Familiar with the logic of content recommendation or information flow products, with a clear understanding of the basic principles of recommendation systems and product forms.
4. High data sensitivity, able to discover problems based on data, validate hypotheses, and formulate optimization solutions.
5. Understanding of user growth and core metric systems, including click-through rate, completion rate, retention rate, activity level, and usage duration.
6. Good cross-team communication, project promotion, and results-oriented awareness.
Preferred Qualifications
1. Experience with video, player, or content consumption products.
2. Experience with recommendation system-related products.
3. Proficient in using AI tools to assist in product analysis, documentation, and prototype design.