What if your instinct for thinking like an attacker could directly shape how AI understands and reasons about cybersecurity threats? We're looking for offensive security professionals to analyze real-world attack paths, adversary behavior, and defensive gaps — helping build and evaluate AI systems that need to understand how modern threats actually work.
This is not an exploit development role. It's about structured adversarial reasoning — mapping how attacks unfold, where defenses break down, and how risk propagates across complex environments. No AI background needed. Just deep, hands-on security knowledge and the ability to communicate it clearly.
• Analyze attack paths, kill chains, and adversary strategies across realistic, production-style environments
• Identify weaknesses, misconfigurations, and defensive gaps in modeled systems
• Review and evaluate red-team-style scenarios and intrusion narratives for accuracy and completeness
• Generate,
label, and validate adversarial reasoning data used to train and benchmark AI systems
• Clearly articulate attack chains, potential impact, and risk tradeoffs in structured formats
• Work independently and asynchronously on task-based assignments — fully on your own schedule
Who You Are
• 2+ years of hands-on experience in pentesting, red teaming, or a blue-team role with strong offensive knowledge
• Deep understanding of how real attacks unfold in production environments — not just theory
• Able to map attacker decision-making across complex, multi-stage intrusion scenarios
• Strong written communicator — you can explain technical attack paths clearly and precisely
• Methodical, detail-oriented, and consistent in your analytical approach
• No prior AI or machine learning experience required
Nice to Have
• Familiarity with frameworks like MITRE ATT&CK;, Cyber Kill Chain, or OWASP
• Exper