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

Product Manager Intern — AI Commerce (Spring 2027)