AI Chatbot Product Manager Intern

Shopee; Indonesia; On-site; IDR 300,000,000 - 600,000,000; Full time

Job summary

Shopee is seeking a Product/AI Interaction designer to research how our AI products communicate with users, build a long-term context model, and drive cross-scenario improvements in QA, tasks, and engagement.

You will work hands-on with interaction strategy, prompt engineering, and Skills definition, supporting chatbot features end-to-end from problem framing to launch and data-driven iteration, while evaluating our framework to lift user satisfaction.

Responsibilities

• Research how AI products communicate with users and build user context models.
• Investigate and ship interaction improvements across QA responses, task handling, and engagement mechanics.
• Work hands-on with interaction strategy design, prompt engineering, and skills optimization.
• Support chatbot features end to end: problem framing, impact sizing, design, launch, and iteration.
• Contribute to chatbot evaluation standards with cross-functional teams to improve user satisfaction.
• Analyze competitive landscape to inform product positioning.
• Collaborate with design, engineering, and algorithm teams to advance model capability through strategy iteration.

Skills

Interaction design

Prompt engineering

Strategy design

Data-driven iteration

Evaluation framework

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.