AI Product Manager简历模板
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Peter Xiong
13800000000
zhangwei@example.com
Beijing
30
Male
AI Product Manager
Employed
Beijing
25k - 35kPersonal Summary
- Have more than 5 years of experience as an AI Product Manager, familiar with AI technology and product development processes, with rich experience in product planning, requirement analysis, and project management.
- In-depth understanding of user needs and market trends, able to formulate effective product strategies and plans, and drive product innovation and iteration.
- Possess good teamwork spirit and communication skills, able to closely cooperate with R&D, design, operation and other teams to ensure on-time and high-quality product delivery.
- Proficient in data analysis and user feedback collection methods, able to optimize product experience and functions through data analysis, and improve user satisfaction and product competitiveness.
Education Experience
Peking University - Bachelor's Degree
2013.092017.06
- Systematically studied core courses in Computer Science and Technology, including Data Structures, Algorithm Design, Operating Systems, Database Principles, etc., with excellent grades and ranked in the top 10% of the major.
- Actively participated in scientific research projects and academic competitions organized by the school, cultivating a solid theoretical foundation and scientific research ability.
- Possess good teamwork spirit and communication skills, able to cooperate with classmates from different professional backgrounds to complete project tasks.
Work Experience
Baidu - AI Product Manager
2019.012022.12
- Responsible for the full life cycle management of AI products, including requirement analysis, product planning, function design, project management, online operation, etc.
- In-depth understanding of user needs and market trends, formulate product strategies and plans, and drive product innovation and iteration.
- Closely cooperate with the R & D team to ensure on-time and high-quality product delivery, and coordinate resources to solve technical problems.
- Responsible for product data analysis and user feedback collection, optimize product experience and functions, and improve user satisfaction and product competitiveness.
- Successfully launched an intelligent customer service product based on natural language processing technology. After launch, user satisfaction increased by 30%, and customer retention rate increased by 20%.
ByteDance - AI Product Manager
2023.01至今
- Led the R & D and launch of an AI image recognition product, participating in and promoting project progress from market research, requirement analysis to product design, development and testing.
- Closely cooperate with the algorithm team to optimize the image recognition model and improve recognition accuracy and speed.
- Responsible for product market promotion and customer expansion, successfully reached cooperation with many enterprises, and product sales exceeded ten million yuan.
- Continuously pay attention to industry dynamics and technological development, drive product function upgrades and innovation, and maintain the product's leading position in the market.
Project Experience
Intelligent Customer Service Product R & D - Product Manager
2019.012020.12
- Project Background: With the development of artificial intelligence technology, intelligent customer service has become an important means for enterprises to improve customer service efficiency and quality. This project aims to develop an intelligent customer service product based on natural language processing technology, which can automatically answer customers' common questions and provide personalized services.
- Project Goal: Through the analysis and modeling of a large amount of customer service dialogue data, train an efficient and accurate intelligent customer service model to achieve customer service automation, reduce enterprise customer service costs, and improve customer satisfaction.
- Project Results: Successfully launched the intelligent customer service product. After launch, user satisfaction increased by 30%, customer retention rate increased by 20%, and saved 50% of enterprise customer service costs.
AI Image Recognition Product R & D - Product Manager
2023.01至今
- Project Background: Image recognition technology has a wide range of application prospects in fields such as security, transportation, and finance. This project aims to develop a high-precision and high-speed AI image recognition product to meet the needs of different industries.
- Project Goal: Through the optimization and improvement of image recognition algorithms, improve the recognition accuracy and speed of the product, and achieve accurate recognition and classification of various types of images.
- Project Results: Successfully launched the AI image recognition product. The recognition accuracy reached more than 95%, the recognition speed increased by 50%, successfully reached cooperation with many enterprises, and the product sales exceeded ten million yuan.
Honor Awards
2021 Annual Excellent Product Manager
Other Information
Natural Language Processing Technology:
- Familiar with the basic principles and algorithms of natural language processing technology, able to use NLP technology for tasks such as text classification, sentiment analysis, named entity recognition, etc.
- Have a certain foundation in machine learning and deep learning, able to use frameworks such as TensorFlow and PyTorch for model training and optimization.
