AI Chatbot Product Manager Intern

Shopee; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Shopee is seeking a talented product role in Singapore to shape conversation-driven AI experiences. You will research how AI products communicate with users, build models of individual preferences, and steer long-term user engagement through structured prompts and interaction design.

You will collaborate with design, engineering, and algorithm teams to advance chatbot capabilities, evaluate performance, and inform strategic product decisions based on data-driven insights.

Responsibilities

• Conversation & user understanding — Research how AI products communicate with users at depth, and help build a long-term, compounding model of individual user context and preference.
• Multi-scenario interaction design — Investigate and ship interaction improvements across QA responses, task handling, and community/social engagement mechanics.
• Strategy execution — Work hands-on with interaction strategy design, prompt engineering, and Skills definition and optimization.
• Full lifecycle involvement — Support chatbot features end to end: problem framing, impact sizing, prioritization, system design, launch, and data-driven iteration.
• Evaluation framework — Contribute to iterating our chatbot evaluation standards. Work with algorithm, operations, and annotation teams to run evaluation cycles, refine model strategy, resolve live bad cases, and lift user satisfaction.
• Market & competitive research — Analyse the competitive landscape and turn findings into product proposals that inform real positioning decisions.
• Cross-functional partnership — Collaborate closely with design, engineering, and algorithm teams to push model capability forward through strategy iteration.

Job description

What You'll Do

• Conversation & user understanding — Research how AI products communicate with users at depth, and help build a long-term, compounding model of individual user context and preference.
• Multi-scenario interaction design — Investigate and ship interaction improvements across QA responses, task handling, and community/social engagement mechanics.
• Strategy execution — Work hands-on with interaction strategy design, prompt engineering, and Skills definition and optimization.
• Full lifecycle involvement — Support chatbot features end to end: problem framing, impact sizing, prioritization, system design, launch, and data-driven iteration.
• Evaluation framework — Contribute to iterating our chatbot evaluation standards. Work with algorithm, operations, and annotation teams to run evaluation cycles, refine model strategy, resolve live bad cases, and lift user satisfaction.
• Market & competitive research — Analyse the competitive landscape and turn findings into product proposals that inform real positioning decisions.
• Cross-functional partnership — Collaborate closely with design, engineering, and algorithm teams to push model capability forward through strategy iteration.