AI Agents to Bridge the Gap between Engineering & Purchasing to reduce manufacturing waste

My co-founder Ian and I combine over 15 years of industry experience, 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 and reducing idle inventory from being scrapped.

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. With new technology and AI, that can finally happen.

Complex processes and products, lack of engineering talent and massive labour costs as well as 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 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 finite resources.

🦾 We're already live with global manufacturing leaders in Europe

💰 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 Data 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.

The Role

As our Senior Data Engineer, you will take strategic and hands-on lead in architecting and implementing Resourcly's intelligent data processing systems that transform unstructured technical specifications into actionable insights within our Shared Inventory platform. It will be your responsibility to own and design the end-to-end data flow from various data sources. You will work closely with our Founding Engineer Soheil, developers, domain experts, and customers to build our data infrastructure and AI/ML capabilities from the ground up (incl. DevOps & tool ownership).

🪄 Key Responsibilities

• Design and build scalable, resilient data infrastructure and workflows for processing large volumes of technical documents, images, and structured data, including robust ETL/ELT pipelines for messy real-world data
• Architect data quality, auditing, and monitoring systems across the processing pipeline, enabling traceability, ranking, and reliability of data at scale
• Develop intelligent data and ML systems that encode mechanical engineering judgment, detect specification equivalence, and assess criticality and safety, selecting appropriate ML or rule-based approaches
• Define and drive the Data & AI strategy, aligning with engineering leadership and product goals, while clearly communicating complex technical concepts to non-technical stakeholders
• Build reliable data outputs incl. real-time dashboards (metabase) for customers (incl. C-level mgmt.) and Resourcly internal management team