Numerous PLM and ERP systems in manufacturing companies create a fragmented and siloed system landscape - engineering, procurement and other functions work on different data. Engineers can't find existing parts, so they create new ones, because it's faster to create a new part than to find an existing one. The result: complexity, variant proliferation and parts proliferation across the component portfolio.
My co-founder Ian and I have lived this problem for over 15 years, working with companies like SEW-Eurodrive, Terex, Bosch and Carl Zeiss. We co-founded Resourcly, a Project A-backed industrial tech start-up to help industrial manufacturers streamline complex portfolios to improve EBIT while preventing the same parts from being designed, bought and stocked twice.
With our solution, we want to solve industry problems that we have tried to address for the last decade in the manufacturing companies we worked for, but that have so far been out of reach.
Complex processes and products, siloed engineering and purchasing data and a lack of intelligent automation have remained the industry's most pressing challenge. With LLMs and agents, we finally have the tools to solve this: our AI reads what is actually inside a part - technical drawings, 3D models and datasheets, not just part numbers - and connects it with ERP data to create a golden record with contextual understanding across millions of parts in a global manufacturing company.
Our vision is that future purchasing and engineering processes will be orchestrated and run by an AI workforce - ensuring reliable and cost-efficient procurement and flow of goods in an uncertain and complicated world with fragile supply chains.
🦾 We're already live with manufacturing leaders in Europe and rolling out globally with companies like Siemens Energy
🏆 We're among the winners of the World Economic Forum's AI Innovation for Resilient Supply Chains Challenge (UpLink)
🏅 Winner of the WirtschaftsWoche Best of Technology Award 2026
💰 Backed by one of Europe's top early-stage funds (Project A)
📈 Growing fast and hiring exceptional talent to join early
Our goal is to build a small, but excellent team, therefore we are looking for a Senior AI/ML Engineer. If you are excited to work in a very early-stage environment alongside the founding team, stellar data scientists and engineers, using AI at the product core to solve meaningful problems - please reach out.
As our Senior AI/ML Engineer, you will own the models that decide what our platform tells a customer, and the evidence that they are right. We turn technical drawings, datasheets and messy catalogue data from some of Europe's largest manufacturers into structured, comparable part data, and then answer the question everything rests on: are these two parts the same part? Customers make purchasing and engineering decisions on those answers, so a wrong answer costs more than a slow page.
This is a second senior hire into an existing applied-ML practice, with models already serving customers. You will work side by side with the engineer who owns our model pipelines today, report to our Head of Engineering, and collaborate closely with backend engineers, product and our customer-facing team. You will build and fine-tune models, and you will build the thing we are still missing: an evaluation strong enough to decide whether a model ships. This is neither a research role nor a platform role. You define the problem from the data, build the dataset, train the model, prove it, and put it on a GPU.