Cloud-hosted cybersecurity training platform with hands-on virtual labs
TryHackMe runs a browser-based cybersecurity training platform built on a JavaScript/TypeScript stack (React, Node.js, Express, MongoDB) across AWS, Azure and GCP. Its content roadmap is widening beyond offensive security: Microsoft Sentinel, Azure Defender, MITRE ATLAS and the NIST AI RMF sit alongside planned GRC and EU regulation learning paths. Product and growth tooling such as Amplitude, Mixpanel, Segment and GrowthBook points to an experiment-driven, conversion-focused team.
TryHackMe is a London-based company founded in 2018 that operates an online platform for learning cybersecurity. Courses come bundled with cloud-hosted virtual machines, so learners can work in hands-on labs without installing anything locally. The platform serves individual learners and academic users and covers CTFs, workshops, assessments and training. Its content spans penetration testing, network security and ethical hacking. The company has 51–200 employees and is hiring in the United Kingdom and Indonesia.
TryHackMe builds with React, TypeScript, Redux, Node.js, Express.js and MongoDB on AWS, Azure and GCP. It also uses Python, PyTorch, TensorFlow and Hugging Face, plus Amplitude, Mixpanel and Segment for analytics.
Yes. Hiring is accelerating and skews toward senior roles. Engineering and product lead the mix, with additional openings in ops, design, sales and security, based in the United Kingdom and Indonesia.
Current work includes realistic Azure lab environments, a first GRC learning path, EU cyber regulation paths and advanced defensive training content. The team is also scaling live class workshops and improving website conversion.
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TryHackMe's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.