Product Manager Intern — AI Commerce (Spring 2027)

• Own well-scoped product features under a Product Manager's guidance. Translate user needs into clear product requirements, business rules, user flows, and acceptance criteria.
• Design and improve AI shopping experiences, including personalised shopping lists, voucher recommendations, add-to-cart, and order assistance. Consider the complete user journey, including clarification, user confirmation, and fallback scenarios.
• Collaborate with engineering, algorithm, design, and business teams to clarify dependencies and drive development, testing, and launch. Proactively track progress, identify blockers, and communicate risks.
• Analyse user conversations, feedback, and agent execution traces to identify capability gaps and usability issues. Turn recurring problems into actionable improvements and follow through on resolution.
• Develop evaluation scenarios and quality criteria for AI features. Conduct product acceptance testing and verify improvements through regression testing.
• Research relevant products and analyse usage data to identify opportunities, assess feature performance, and recommend further iterations.

• Currently pursuing a Bachelor's or Master's degree, preferably in Computer Science, Information Systems, Business, Engineering, or a related discipline.
• Strong interest in AI products and e-commerce, with hands-on experience exploring AI assistants or agent-based applications.
• Strong analytical and structured thinking skills, with the ability to break down ambiguous problems into clear requirements and practical solutions.
• A strong sense of ownership, attention to detail, and initiative to drive tasks to completion. Comfortable coordinating with others and escalating issues when needed.
• Basic understanding of large language models, prompting, and tool calling, with an interest in translating AI capabilities into useful products.

Good to Have

• Previous internship or project experience in product management, AI applications, e-commerce, search, or recommendation systems.
• Familiarity with SQL or Python for data analysis, evaluation, or workflow automation.
• Experience using AI coding tools or prototyping platforms to build interactive demos and validate product ideas.
• Full-time interns preferred
• Part-time interns who can commit at least 4 working days a week are also welcome to apply