Posted 3 months ago
Offensive Security Engineer
AI Summary
Offensive Security Engineer is responsible for hardening the company product and teaching its AI system advanced attack tradecraft to autonomously model and assess an organization’s IT and cybersecurity environment.
About this role
Wraithwatch was founded by security engineers from SpaceX, Palantir, and Anduril to build the next generation of AI-powered cyber defense systems for the United States and its allies. We are deployed today to customers spanning Fortune 500, US Federal Government, commercial nuclear, aerospace, defense, maritime, and other emerging technology companies. Our core product is a cyber defense platform utilizing generative artificial intelligence agents to autonomously model a digital twin of an organization's entire IT and cybersecurity environment and analyze it for weaknesses, misconfigurations, and chains of possible attack.
As an offensive security engineer you will not only continuously harden Wraithwatch (the company and product) against advanced threats, you will also teach the system your expert attack tradecraft and have it evolve to execute it on its own.
Note: This is not a research position. You will be building and shipping things on the daily with the core product engineers.
Basic Qualifications
5+ years professional experience conducting complex penetration testing assessments in commercial or government environments.
Deep, hands-on understanding of the current landscape of offensive cyber tradecraft (in memory, fileless attacks, beacon object files, malleable C2, modern initial access vectors, emerging EDR bypasses, etc).
Experience implementing or assisting with the implementation of enterprise / corporate security controls such as anti-malware policies, identity and access controls, detection engineering, device management, or similar.
Interest in adapting AI to red teaming / penetration testing use cases. This is a hard requirement.
Preferred Qualifications
Interest in modern machine learning or artificial intelligence capabilities, especially emerging subsets of Generative AI such as agentic behavior, tool calling, knowledge graph integration, retrieval augmented generation, etc.
Ability to deal with ambiguity and learn new technologies quickly.
Additional Requirements:
Willingness to work extended hours and weekends as needed.
