AI Chatbot Product Manager Intern

Shopee; Indonesia; On-site; IDR 240,000,000 - 420,000,000; Full time

Job summary

Shopee is seeking an AI product designer to shape how chatbots speak with users in Indonesia, focusing on long-term user context and preference modeling. You will drive cross-functional work on conversation design, multi-scenario interactions, and prompt engineering, guiding the full lifecycle from framing problems to data-driven iteration with design, engineering, and algorithm teams.

The role emphasizes market research, competitive analysis, and building scalable strategies to improve user

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.