Vice President of Engineering
Andercore · 🌍 Berlin
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About the role
About Andercore Andercore is the AI-native supplier of industrial materials for energy, infrastructure, and construction in wholesale and beyond. We trade with global suppliers and distribute to European customers on our own account. Our AI runs the full trade and distribution end-to-end: sourcing, quality, pricing, sales, logistics, and embedded financing. For the customer, it feels like buying from their preferred local supplier; for our partners, it is the most convenient and safe way to do business across borders. Behind it, our software and agentic AI do the heavy lifting that used to take an asset-intensive supply chain with four or five intermediaries and weeks of manual coordination. Where we are today: • Strong triple-digit-million euro turnover • Seven European markets live • 80+ people across Berlin (HQ), offices in London, Mumbai, and Shanghai $40M Series B just closed, $75M raised to date from Atomico, Project A, and Inven Capital, institutional financing from international banks. We are building the world's first and last industrial-grade AI operating system for materials, redefining how global trade works in one of the largest and most essential industries on earth. Role Overview As VP Engineering, you own the Engineering organization and turn our platform and AI vision into shipped systems. You report to the Chief Product Officer and partner closely with product, commercial, operations, and finance. You lead our Senior Product Engineers, Staff Engineers and QA, and work closely with our product managers, who own product and design. This is an execution mandate. You carve our core systems into a modern platform, build our AI agents into one holistic system that runs the trade lifecycle end-to-end, and scale the teams that deliver it. You inherit a working machine at full speed: your job is to rebuild it in flight without losing a day of momentum. In your first year, the priorities are the carve-out of our transaction core and bringing our AI agents into one orchestrating layer. Key Responsibilities AI and Automation • Build our AI agents into one holistic, orchestrating AI layer across sourcing, pricing, quoting, sales, logistics, and financing. • Drive automation of the full transaction lifecycle, and own automation-rate and no-touch-quote targets as first-class delivery KPIs. • Work with our data team, which sits with the CPO, on systems that make our trade flows a compounding advantage, so every transaction makes the system smarter. • Keep us at the practical frontier of agentic AI: ship what creates leverage now, skip what is demo-ware. • Put the guardrails, evals, and human-in-the-loop controls in place so automation stays reliable where it matters most: money-touching and customer-facing paths, where a wrong output is a real loss, not just a bug. Platform and Architecture • Own execution of the target architecture for the Andercore platform, the system of record for industrial trade. • Lead the carve-out of our transaction core into a modern, modular light ERP (a lean core system for our trade transactions), with a clear migration path and zero disruption to daily trading. • Shape the role of Salesforce in our landscape: decide what stays on the platform, what moves to the new core, and how the two work together. • Make pragmatic build-vs-buy calls within the platform strategy and keep technology cost per transaction on a falling curve. • Make new-market launch a repeatable platform motion: multiple geographies, currencies, languages, and compliance regimes, built in rather than bolted on. • Keep the platform ready to pass technical due diligence at any moment: architecture, data, and security in shape for the next financing round. Engineering Organization and Talent • Lead the Engineering