Senior Full Stack Engineer

Picture this: A merchandising team is running markdown planning across thousands of SKUs. They tweak a parameter, click run, and watch five markdown scenarios load in seconds. Each one shows margin impact, sell-through, and other relevant KPI's. They pick one, hit approve, and the decision flows straight into their ERP. The engine, the API, the integration: crafted by a seasoned full-stack developer like you. In April 2024, we released Markmi , the markdown management assistant for fashion retailers that helps merchandising teams make faster, confident, and more profitable pricing decisions. Markmi replaces outdated spreadsheets with a fashion-specific workflow that combines industry expertise with the latest in AI. By automating the complex parts of markdown planning, it frees up teams to focus on what really matters: weighing trade-offs and choosing the best scenario. Retailers typically experience a margin improvement of 3% to 7% and an 80% to 95% reduction in workload . Today, we're a 10-person team based in Ghent , serving mid and large size fashion retailers EU-wide, generating €750K+ in annual recurring revenue . With a solid product and proven traction, we've entered our next exciting phase: scaling our presence across international markets . More enterprise clients, more complex integrations, more pressure on the platform to perform reliably under load. We've reached the moment where what got us here won't get us to the next gear. The product works. The customers are real. The demand is growing. What we need now is a builder . Someone who takes ownership of backend development without waiting for direction, makes sharp architecture calls, and ships mission-critical features that hold up under enterprise expectations. Someone with a security-first mindset baked in, not bolted on. That is where you fit in. 🎯 The Role As our Senior Full-Stack Engineer (backend-focused) , you'll act as a core technical driver during a high-growth transition period. This is a role for a builder who thrives in high-autonomy environments, mainly takes ownership of backend development, and wants to ship mission-critical features directly to customers. Experience applying AI/ML in a product engineering context is a strong plus.