Job Description
About The TeamAt Shopee, we're redefining our customer journey with AI. We are building an intelligent assistant that not only resolves user issues but also learns and improves through agent feedback and real-world interactions. This means integrating the latest in LLMs, agentic systems, and self-improving AI loops to make customer support scalable, efficient, and truly delightful.We're looking for a forward-thinking Product Manager who’s excited to shape the next-gen AI agent platform: a product that empowers both customers and human agents, and evolves with every conversation.Job DescriptionLead the end-to-end development of chatbot and agent-AI interaction features, from concept to rollout to ongoing iterationDesign systems that allow agents to supervise, correct, and train AI models in real time (e.g. feedback loops, annotation workflows, reinforcement learning from human feedback)Collaborate with engineering, data science, operations, and design to ship products that combine Large Language Models (LLMs) and agentic logic with operational scalabilityDefine product metrics, user journeys, and evaluation frameworks to track and improve model quality, deflection rate, and Customer Satisfaction Score (CSAT) impactBuild tools for chatbot lifecycle management: training/annotation platforms, intent classification, knowledge integration, and auto-evaluation pipelinesDrive alignment across business, ops, and tech teams to deliver AI solutions that balance automation with human judgmentStay updated on the evolving GenAI landscape: prompting strategies, fine-tuning approaches, and multi-agent orchestration, and translate them into product opportunitiesRequirementsBachelor’s degree in Computer Science, Engineering, or a related technical field Equivalent experience in building and scaling AI products is a plus.Experience shipping products powered by LLMs (e.g. GPT, Claude) or conversational AI frameworksFamiliarity with agentic system design, prompt orchestration, and the human-in-the-loop paradigmStrong data orientation: you’re comfortable digging into product metrics, model performance dashboards, and user behaviour insights
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