Store Manager
As a Store Manager, you are an entrepreneur in your own right and you—together with your driven team—ensure the ultimate shopping experience for your customers.
Jobs in the Netherlands, in English.
14,000+ live jobsOn-site in Utrecht·Added 5 days ago (last checked 15 Oct)
19 open roles
This job advert was originally written in Dutch.
Relevant education: You are currently pursuing, or have recently completed, a HBO or WO degree in the direction of Data, IT, Artificial Intelligence, Business & Technology, or a similar field of study.
Practical programming experience and technical knowledge: You can program independently, are familiar with modern software development environments, and understand the basic principles of cloud architecture.
AI enthusiast and practical experience: You integrate AI tools into your daily work and actively use Claude during software development.
Knowledge of agentic AI and RAG: You understand the basic architecture of agentic AI, Retrieval-Augmented Generation (RAG), and how modern AI models work under the hood.
Eager to learn and flexible: You approach challenges with unknown tools and technologies with confidence and use AI as a programming partner to quickly acquire new knowledge and develop solutions.
With innovative ideas, you ensure that we can continue to grow and innovate every day, so that should be reflected in your compensation. You work for WE®, WE work for you. Therefore, you will receive from us:
At WE Fashion, we are transforming the future of fashion retail and e-commerce through innovation and smart technology. Within our Data & BI team, we don't just build dashboards, but actively improve and innovate business processes using modern AI technology.
As a Working Student AI & Automation, you form the important link between different business departments and advanced technology. You will actively work within various teams at our headquarters, learning how their daily processes run and converting manual tasks into smart, automated solutions based on agentic AI.
Collaborating directly with various teams within WE Fashion to map out daily work processes and identify opportunities for automation;
Designing, prototyping, and developing complete AI solutions based on agentic AI and modern automation processes;
Translating concrete business challenges into practical code and scalable technical solutions;
Continuously experimenting with new AI frameworks, RAG architectures, and tools to realize a tangible impact within the organization;
Challenging traditional ways of working and presenting creative, practical ideas to stakeholders within the organization.
What do we expect from you?
Communicative and empathetic: You enjoy engaging in conversation with colleagues from different teams, listening to the challenges they experience in their daily work, and building strong relationships.
Initiative and ownership: You do not wait for step-by-step instructions, but take responsibility for your projects and ensure they make progress.
An out-of-the-box mentality: You dare to question existing ways of working, view problems from new angles, and focus on practical solutions with a large impact.
Overview and strategic insight: You keep the larger business goal in mind and look beyond the execution of individual tasks.
As a fashion lover, of course you have known WE Fashion for a long time. But did you also know that we are a successful Dutch multi-channel brand that is in full transition to becoming not only the best fashion retailer, but also the fashion e-tailer of Western Europe? The fashion world is always in motion! And that makes WE Fashion the place where you get the chance to see trends, respond to them, or create them yourself.
But we don't stop there: we continue to search daily for growth opportunities, also regarding socially responsible and sustainable business. Because WE Care. That is why development, improvement, and creation never stand still with us. WE Fashion is the place where you get the chance to innovate and grow personally. Good ideas? Make your voice heard and become a trendsetter!
or browse Machine learning & AI·Entry-level·Apparel retailers