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

Descripción del puesto:

* 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

Requerimientos del candidato/a:

* 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