Overview
Join Shopee’s Product team as a Product Manager Intern (Recommendation) and help shape LLM-powered features that touch millions across Southeast Asia and Taiwan. You’ll work with product, engineering and algorithm teams to move ideas from research and prototypes into experiments and production across search, feeds and chat surfaces.
What You'll Get Out of This Internship
- Direct exposure to LLM-driven product design and evaluation.
- Mentorship from product and algorithm leads on building data-backed features.
- Hands-on experience with A/B testing, metrics analysis, and rollout planning.
- A portfolio piece demonstrating end-to-end product work on recommendation systems.
Key Responsibilities
- Translate product needs for search, recommendation and chat into clear feature requirements and roadmaps.
- Run LLM benchmarking and collaborate with algorithms to convert promising concepts into production-ready features.
- Define success metrics and help design evaluation frameworks for LLM-generated signals.
- Analyse A/B test results, identify gaps, and recommend iterative improvements.
- Coordinate cross-team deliverables to keep projects on schedule and aligned with business goals.
- Prepare concise summaries and presentation decks to communicate findings to stakeholders.
- Monitor feature quality post-launch and propose optimisations based on data.
Requirements
- Degree student (or recent grad) in CS, Data, Engineering, Product, or related field.
- Strong analytical mindset and comfort interpreting experiment results.
- Clear communicator who can bridge technical and non-technical teams.
- Interest in LLMs, recommender systems, or search product problems.
- Able to work in a fast-paced environment and manage priorities independently.
Who This Internship Is Ideal For
Ideal for students who love AI products, enjoy using data to guide decisions, and want real ownership of feature experiments that impact large user bases.
About the Company
Shopee is a leading e-commerce platform in Southeast Asia and Taiwan, part of Sea Group. The company builds localised shopping experiences supported by regional logistics and payments, and invests heavily in product and data science to improve user discovery and commerce.
Internship Details
Location: Singapore
Duration: January – April 2026 (minimum 3 months)
Commitment: Full-time preferred; part-time (≥3 days/week) considered
Working Arrangement: Onsite / Hybrid (team-dependent)
Stipend: Not stated
Application Deadline: Rolling / apply early
