We’ve hired six senior engineers for Maze so far, each with a proven track record of building from zero and scaling robust platforms. Beyond technical strength, every hire has been a clear culture add—product-focused operators who can move fast, think long-term, and uphold Maze’s exceptionally high standards in a fully remote environment.
Maze is a London-based cybersecurity startup reinventing vulnerability management with agentic AI that autonomously investigates, prioritises, and resolves cloud security risks. Founded in 2024 and backed by top investors including Theory Ventures, Cherry Ventures, and Tapestry VC, Maze’s platform replaces rule-based scanners with intelligent AI agents that reason like expert security engineers, cutting through noise, pinpointing real threats, and enabling teams to stop breaches before they happen.
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Company info
Context
Maze was operating in stealth with an uncompromising hiring bar. The founders wanted to build a fully remote team of exceptional engineers, talent good enough to work at FAANG or frontier AI labs, but who deliberately chose early-stage startups for the ownership, pace, and cultural fit. With no public presence and a narrow target profile, inbound channels were unlikely to surface the calibre or mindset they needed.
Process
We partnered closely with Maze to run a highly targeted, proactive search across talent-dense markets including London, Amsterdam, Berlin, and NYC. Leveraging our on-the-ground presence and curated communities, we focused exclusively on product-minded engineers with low ego, high standards, and an AI-forward way of thinking. Every candidate was assessed for greenfield experience, remote readiness, and genuine alignment with Maze’s bar for craft, autonomy, and collaboration.