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Vice President of Engineering

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EMP:Management
Berlin
Tiempo Completo
Remoto
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AndercoreAndercore 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 turnoverSeven European markets live80+ 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 OverviewAs 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 orchest.

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