Digital Twin Implementation Specialist; EU

Ware Bee is an AI Warehouse Consultant empowered by Digital Twin technology. We build living models of warehouses that merge physical space, processes, and real data.

Teams use Ware Bee not only to see what’s happening and understand why, but also to get clear suggestions on what to do next. And the impact is tangible: items move, layouts change, and people’s work becomes easier, faster, and safer.

We’re looking for someone who can turn messy warehouse data into clarity and guide customers in making Ware Bee part of their daily operations. This is an implementation role: you’ll be close to customers, helping them unlock value from data, simulations, and Ware Bee’s guidance on how to improve.

• Fluency in English (required — daily customer interaction)
• Proficiency in SQL (required — to clean, transform, and query data)
• A “data mindset” — you think in systems, spot patterns, and design better processes through data
• A hands-on, practical approach — you care about making things work

• Connect & configure — work with customer teams to set up their warehouse Digital Twin and integrate their data (no code)
• Tame messy data — clean, structure, and transform WMS data using SQL so it’s reliable and ready for decisions
• See & understand — help analyse warehouse processes, uncover inefficiencies, and turn data into clear actions
• Guide action — translate Ware Bee’s recommendations into real changes: from how items are slotted to how workflows run on the floor
• Drive improvement — support continuous improvement initiatives, measure results, and help teams scale what works
• Be the bridge — support customer teams daily, making sure Ware Bee becomes a trusted part of how they run operations

• Experience with warehousing and logistics
• Additional European languages (German, French, Spanish, Italian, or Dutch)
• A degree in Supply Chain, Logistics, Engineering, Computer Science, or a related field
• Experience in structured, KPI-driven environments
• Hyper-logical thinking and outstanding attention to detail
• Curiosity and persistence when working with messy, real-world data
• Clear communication skills, able to explain complex insights simply
• Background in operations research, systems modelling, or simulations
• Good analytical and problem-solving skills
• A genuine interest in business improvement and operational change
• Familiarity with Lean / Six Sigma or continuous improvement frameworks

We’re looking for someone with the drive and potential to grow — experience is not required, but a proactive mindset and willingness to learn are essential.