We're building an AI assistant, serving users across Southeast Asia and global markets. As an intern here you'll own real feature work from framing the problem through launch and post-launch analysis.
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.
Requirements
What We're Looking For
Currently pursuing a Bachelor's or Master's Degree in Computer Science, Information Systems, Business Analytics, Mathematics or a related field is preferred
Ability to take a specific user experience problem, abstract it into a logical concept, and translate it into an LLM product solution or Skill design — this is the core skill we're hiring for.
Clear structured thinking and comfort with systems abstraction; able to independently break down and make progress on complex product strategy problems.
Strong communication and coordination skills — you can pull together input from algorithm, engineering, and research partners and keep a project moving.
Genuine enthusiasm for AI, with a solid grasp of large model technology and where the field is heading.
Full-time interns preferred (3-6 months), Part-time interns who can commit at least 3 working days a week are also welcome to apply
Nice to Have
Prior internship experience in AI product management, e-commerce AI customer service, or conversational AI systems.
Experience in a strategy PM capacity — designing rules or strategies and following them through to measured online impact.
Project or internship experience in search, recommendation, or ranking.
Hands-on exposure to LLM/AIGC capability building or core strategy planning.
Familiarity with prompt engineering, RAG, or multi-agent architectures.
Strong data sense — you can read a metric movement, form a testable hypothesis about what's driving it, and design the check. Comfort with SQL or product analytics tools.