Lead (Staff) Software Engineer | Merchandising

About this role

What we do RELEX Solutions delivers a unified supply chain planning platform for retailers and manufacturers, enabled by proven AI technology. We help companies optimize demand forecasting, replenishment, merchandising, pricing and promotions, supply chain operations, and production planning across the end-to-end value chain. With a global team of over 2,000 professionals, we work side-by-side with our customers to solve real problems with lasting impact.

Companies trust RELEX to increase product availability, boost sales, deliver actionable insights, improve sustainability, and drive profitable growth. Join us and make an impact on the world and your career! In response to our fast growth and market expansion, we are looking for a Lead Software Engineer to join our Merchandising team. Merchandising builds the systems retailers use to decide what to sell, where, and at what price.

Those decisions ripple out into less waste, better-stocked shelves, and fairer pricing for millions of shoppers. In this role you own a product end to end: how it's built, how it runs in production, and how it evolves based on what customers actually need. That takes real technical depth plus enough product and business judgment to make the call yourself. What we need you to do and be Own the codebase and technical outcomes for your product end to end, from the architecture calls to the quality bar to catching regressions before customers do Build, ship and maintain production-quality code across the full stack Work directly with customers, gathering structured feedback and validating that what you build solves the business problem, not just the ticket as written Raise the bar around you through code review, design feedback and hands-on mentorship, so the engineers near you get better, not only your own output Work AI-fluently: use AI tools to move faster, and review AI-generated code as critically as you would a teammate's What you'll bring to the table A track record of owning a product or service end to end at senior level or above, including the product decisions and not only the technical ones Full-stack proficiency across backend, frontend and data layers, with real depth in at least one Experience mentoring or technically leading other engineers, formally or informally Distributed systems experience: you have designed for failure and scale, and run what you built in production Clear technical communication, so you can explain a trade-off to a non-technical stakeholder as easily as to another engineer Comfortable with using AI in your everyday work and developing the use of AI tools as a larger organizational strategy Fluent in written and spoken English Nice to have: exposure to retail, merchandising, or pricing and promotions More important: you have worked on products where forecasting, regression, or optimization sit at the core, and you are used to reasoning about model behavior rather than just shipping features around it What we offer in return You'll be supported and given the space to thrive.