Product Manager Intern, E-commerce Recommendation Strategy (Summer 2026)

What you'll do

• Support recommendation strategy projects for the e-commerce platform, including assisting in product mechanism design and basic strategy optimization.
• Analyze user behavior and traffic distribution in recommendation scenarios (e.g., homepage, search, feeds), identify issues, and propose data-backed improvement suggestions.
• Work closely with data analysts and algorithm teams to monitor recommendation performance, conduct basic analysis, and support A/B testing.
• Collaborate with cross-functional teams (e.g., product, operations, marketing) to understand business needs and help translate them into recommendation use cases or optimization ideas.
• Conduct competitor analysis and industry research on recommendation systems and personalization trends, providing insights to support product iterations.
• Assist in tracking key metrics (e.g., CTR, CVR, GMV contribution) and preparing reports to evaluate recommendation effectiveness.

Requirements

• Pursuing a bachelor's degree or above in Computer Science, Data Science, Business Analytics, Information Systems, or related fields.
• Strong interest in e-commerce, recommendation systems, and personalization technologies.
• Basic understanding of data analysis concepts; familiarity with Excel/SQL/Python is a plus.
• Good logical thinking and problem-solving skills, with the ability to break down problems and propose structured solutions.
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
• Detail-oriented, proactive, and eager to learn in a fast-paced environment.
• Prior internship or project experience related to data analysis, product management, or e-commerce is a plus.
• Able to commit to a full-time internship for at least 3 months.