Summary
Weimeng Pu is a product manager with 10 years of experience focused on search and recommendation systems, currently leading next-generation organic search personalization at Shopee from Singapore. He has built platform-level products from scratch—designing a product curation platform, a company-wide trust & safety solution, and improving tagging and campaign tooling to boost e-commerce operational efficiency. With a strong technical background (B.S. in Computer Science from San Jose State and an M.S. from USI) and early hands-on roles in robotics and deep learning, he bridges algorithmic understanding and product strategy. He excels at turning complex machine learning-driven requirements into pragmatic, scalable product roadmaps that serve global user bases. An understated strength is his cross-functional fluency: he aligns engineering, trust & safety, and business teams to deliver measurable platform improvements.
10 years of coding experience
1 year of employment as a software developer
San José State University
Master's degree, Computer Science, Master's degree, Computer Science at USI Università della Svizzera italiana
High School, High School at Guangzhou Foreign Language School
English, Chinese, German