TryHackMe is the fastest-growing online cybersecurity training platform, dedicated to making cybersecurity education accessible through gamified exercises and challenges. With over 7 million community members, we continue to expand our reach and impact in the cybersecurity field.

The Role

We are seeking a Senior AI Security Content Engineer to design and develop cutting-edge AI-focused cybersecurity training content. This senior position requires extensive hands-on cybersecurity experience paired with strong AI/ML knowledge. You will create advanced learning experiences that teach users how to secure, assess, and defend AI/ML systems in a rapidly evolving security landscape.

Responsibilities

• Research and develop immersive training content that covers AI system vulnerabilities, attack vectors, and defensive strategies.
• Transform complex AI security concepts into engaging, practical labs that help learners build essential skills for the future of cybersecurity.
• Collaborate with the Content Engineering Team to align AI-focused content with TryHackMe's learning pathways.
• Stay current with the evolving AI threat landscape and update content to reflect new attack techniques and defenses.
• Serve as a subject matter expert in both cybersecurity and AI security, mentoring other content engineers.

Requirements

• At least 5+ years of hands-on cybersecurity experience in roles such as Security Engineer, SOC Analyst, Threat Hunter, Incident Responder, or Penetration Tester.
• Proven practical knowledge of AI/ML systems and their security implications, with hands-on exposure to AI model deployment, MLOps pipelines, or cloud-based AI environments (Azure, AWS, GCP).
• Deep experience with defensive/offensive security fundamentals, including threat detection, incident response, and penetration testing.
• Proficiency with core security tools and frameworks (SIEM, EDR, IDS/IPS, MITRE ATT&CK, or similar).
• Strong understanding of network security, endpoint security, and cloud security principles.
• Solid grasp of AI/ML system architectures, data pipelines, and attack surfaces (model poisoning, data leakage, etc.).
• Familiarity with AI security frameworks such as OWASP Top 10 for LLMs and NIST AI Risk Management Framework.

Nice to Have

• Experience building or evaluating LLM-based applications (e.g., LangChain, OpenAI API).
• Programming experience with Python, PowerShell, or Bash.
• Background in CTF challenge design or gamified cybersecurity content.

What We Offer

• 100% Remote work flexibility.
• Flexible working hours with at least 4 hours overlap with the UK timezone.
• Dedicated work laptop and accessories.
• £2,500 training budget for personal development.
• Annual company retreat, fully funded.
• Lunch covered during virtual company lunches.
• Enhanced maternity and paternity packages.
• 401k / Pension plan for retirement savings.

Application Process

• Stage 1: Short introduction call (30 mins).
• Stage 2: Technical Take Home Exercise.
• Stage 3: Technical interview (one hour).
• Stage 4: Final call with a Co-Founder (30 mins).

At TryHackMe, we simplify the learning process in cybersecurity, providing prebuilt courses with cloud-hosted virtual machines ready for deployment. Join us in making cybersecurity education engaging and effective.