AI Listing Product Manager, Regional Operations

The Product Management team at Shopee is the key focal point between the business, engineering and design teams. The team is responsible for implementing strategy, road maps and features, while adhering to business goals. It covers all functions including but not limited to Financial Services, Supply Chain, Search, Recommendation, Advertising, Order, Promotion, User, Anti-Fraud, Seller Service. Join us to own a product that is impacting millions of lives in Southeast Asia and Taiwan.

About the Team:

The Listing Quality Control (QC) team ensures that every item listed on Shopee is compliant, safe and trustworthy for hundreds of millions of users across regions. We are a dynamic, adaptive and innovation-driven team, rebuilding the end-to-end item QC lifecycle with AI: from LLM-powered detection, to agent-assisted review, to seller appeals. Across each stage, we balance risk, efficiency and seller experience.

Job Description:

• Own the Listing QC roadmap and enhance Shopee's Governance platform across Detection, Review, Penalty and Feedback, using AI to optimise the QC detection pipeline across risk, efficiency and seller experience
• Dive into operational workflows to identify automation opportunities, and build tools at scale for local operations, including hands-on AI agent building for internal use cases and as POCs to solve real business problems
• Drive preventive risk analysis and time-sensitive incident resolution with Legal, Operations and Product teams, to keep our e-commerce ecosystem compliant with local laws and regulations
• Own the product development cycle end to end, partnering with designers, analysts, engineers and data scientists to deliver high-impact solutions

Requirements:

• Bachelor's degree, preferably in Computer Science, Information Systems, Applied Quantitative or equivalent; A master’s degree is advantageous but not required
• At least 2 years of relevant experience
• Strong analytical and quantitative reasoning, with data-based decision-making
• Able to independently drive tasks to completion
• Strong interest in AI/LLM applications, with hands-on experience or willingness to build with AI tools and agents
• Adaptable and open-minded, able to thrive in dynamic environments