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Kyber is an AI workforce coordination platform designed to keep critical infrastructure running on time. Its first product targets aviation ground operations, helping human coordinators see fragmented data feeds in real time, predict the impact of disruptions, and dispatch staff efficiently. Early customers in aviation already trust Kyber to manage their ground operations workforce and improve aircraft departure punctuality. The company is currently hiring founding roles, signalling it's in an early, high-impact build phase where new hires can shape both product and company from the ground up.
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As the ML/Data Science Founding Engineer at Joinkyber.com in London, UK, you will own the Think layer of a live production system and build real-time AI capabilities for Maestro. Joinkyber.com is backed by Entrepreneurs First and led by founders with backgrounds in Formula 1 and Imperial College. This founding role offers meaningful equity and the chance to deploy decision-making systems that.
Backend/DevOps Founding Engineer (plus equity) at Joinkyber.com in London. Joinkyber.com is a London-based pre-seed startup backed by Entrepreneur First that is transforming airport ground operations with agentic AI. As the second founding engineer, you will own the backend and infrastructure for a product already live in North America and help ensure global aircraft departures stay on time.
Commercial aviation loses $15 billion a year to ground delays, and you can build the engine that fixes it. Join a pre seed startup backed by Entrepreneur First as their first engineering hire to own the real time orchestration layer for airport operations. This isn't just another dashboard—it’s a deep systems challenge involving state machines, resource allocation logic, and dependency aware recomputation. Work alongside ex F1 and aviation operations experts to turn noisy live signals into deterministic decisions that keep global flight networks moving. If you’re a backend expert in TypeScript or Python who wants true employee 1 ownership, this is the rarest systems problem in London.