Wraithwatch was founded by alumni 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 aerospace, defense, manufacturing, and emerging technology.
Our core product, Wraithwatch Commander, is a continuously adaptive cyber defense platform utilizing generative artificial intelligence agents to autonomously model and construct a digital twin of an organization’s entire IT and cybersecurity environment and analyze it for weaknesses, misconfigurations, and chains of possible attack. Specialized offensive and defensive AI agents work together in a process of adversarial co-evolution in order to detect novel attack paths that exist in a customer network and rapidly develop correlative defense strategies. Users are able to visualize, manipulate, and command the system through an intuitive and futuristic interface.
Responsbilities
Wraithwatch Security Engineers ensure our artificial intelligence engines can perceive and rapidly manipulate a wide variety of integrated cybersecurity tools, as well as optimize their autonomous reasoning and analysis on complex cybersecurity tasks. They'll also own Wraithwatch's internal corporate cybersecurity posture across our company endpoints, cloud environments, and build pipelines.
Qualifications
Basic
4+ years professional experience in building and deploying software or services as part of a corporate or enterprise security engineering team.
Deep, hands-on understanding of the current landscape of cybersecurity tools (EDRs, device management, identity, SIEMs, SOARs, XDRs, etc) and experience configuring, tuning, or automating these systems via APIs.
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.
Development experience in any modern programming language, including but not limited to Python, Rust, or Go.
Willingness to work extended hours and weekends as needed as part of a fast moving seed stage startup.
Preferred
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.