WareBee ltd.

WareBee 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 WareBee 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 WareBee part of their daily operations. This is an implementation role: you'll be close to customers, helping them unlock value from data, simulations, and WareBee's guidance on how to improve. What you'll need 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 What you'll be doing 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 WareBee'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 WareBee becomes a trusted part of how they run operations Nice to have 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 About you 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.

WareBee is an AI Warehouse Consultant powered by Digital Twin technology. We build models of warehouses that merge physical space, processes, and real data to help clients move items, improve layouts, and make work safer and faster. We are seeking an implementation-focused professional who can turn messy data into clarity, work closely with customer teams, and guide them in making WareBee part of their daily operations.

WareBee ltd. is seeking a Data Scientist (Optimization Science) to tackle real warehouse optimisation problems and build solvers and heuristics that operate at production scale. You will work with operators, product teams, and engineers to turn constraints into formal models and deliver practical, shippable solutions. You will engage with messy data, changing constraints, and deadlines while applying linear programming, MILP, constraint programming, and simulation as appropriate.

A warehouse is an optimisation problem in a trench coat. Layouts, slotting, labour shifts, pick paths, replenishment - the difference between a good answer and a great one moves real money for every operator WareBee serves. As Data Scientist (Optimization Science) you will reach for linear programming, mixed-integer programming, constraint satisfaction, heuristic search, and simulation, and pick the right one for the problem in front of you. WareBee runs on two engines: Physical AI - a living, spatial model of the warehouse floor, its racks, aisles, and movement - and Process AI, which learns how work actually flows through it. Your optimisation work sits on top of both. What you will do Sit with operators and the product team, understand the real constraints, and turn fuzzy operational pain into formal models Solve real instances - at production scale, with messy warehouse data, against deadlines that matter Build solvers and heuristics that ship, not papers that don't Pair with engineers to embed solvers behind clean APIs and feedback loops Validate against the truth (operations on the ground), not just against the model What we are looking for Strong foundations in operations research, mathematical optimisation, or applied mathematics Production experience with at least one solver ecosystem and one general-purpose programming language Comfort with messy real data, partial information, and changing constraints Pragmatism about when an optimal solution is overkill and a heuristic ships Curiosity about the operational domain - logistics, supply chain, warehousing Hands-on warehouse, logistics, or supply-chain experience - you've seen how a real floor runs (a strong plus) What we offer Real operational problems with real money on the table A small senior team that respects the craft Hybrid in Cambridge, UK or Tel Aviv, Israel - or fully remote

WareBee is seeking a Senior Backend Engineer to own the contracts that power the product - ingestion pipelines transforming warehouse data into a model, robust APIs, durable storage, and reliable background work. You will ensure observability that lets a small team operate them confidently at 3 am. Two engines power WareBee: Physical AI and Process AI. You will build systems to feed both, keeping them fast and reliable, and you'll push back on unnecessary complexity to maintain simplicity and

The backend is where the digital twin either earns its reliability or quietly loses it. As Senior Backend Engineer at WareBee you will own the contracts the product lives and dies by - the ingestion pipelines that turn warehouse data into a model, the APIs, durable storage, background work, and the observability that lets a small team operate them with confidence at 3 am. WareBee runs on two engines: Physical AI - a living, spatial model of the warehouse floor, its racks, aisles, and movement - and Process AI, which learns how work actually flows through it. Your systems are what keep both fed, fast, and reliable. What you will do Design APIs and data models that are obvious to the next person who touches them Build ingestion and background processing that handles large warehouse datasets without losing work Pair with frontend and optimisation teammates to ship features end to end Make production legible - tracing, structured logs, useful errors, fast recovery Push back on complexity that does not earn its keep What we are looking for Several years building production backends that other engineers extended after you Comfort with relational thinking, schema design, and the failure modes of distributed systems A test discipline that means deployments rarely surprise you Bias toward boring, type-safe technology you can hand off Care about the developer experience of the people who come after you Hands-on warehouse, logistics, or supply-chain experience - you've seen how a real floor runs (a strong plus) What we offer Senior ownership of the systems behind a product warehouse managers depend on A small senior team where engineering decisions are made by engineers Hybrid in Cambridge, UK or Tel Aviv, Israel - or fully remote