Sr. Threat Researcher- Detection

Every nation has data. Few can protect it. Fewer still can act on it. Dream is the sovereign AI and national cyber-defense company for governments. We help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign. This is more than a job. It's a Dream job, where you'll work at a global scale alongside some of the best AI researchers, cyber operators, and government experts in the world. We defend nations against the most advanced threats in the world with a national security suite that offers AI-native resilience against APTs with visibility, insights and mediation across Posture, CTI, and Detection & Response, all fully sovereign. The Dream Job We are on an expedition to find you, a Threat Researcher who is passionate about turning raw threat data into clear intelligence and operational outcomes. You’ll play a major role in advancing our next-gen Detection platform across threat actor attribution, adversary infrastructure analysis, External Attack Surface Management (EASM), and STIX-based knowledge management. The Dream-Maker Responsibilities Investigate and analyze emerging threats and malicious techniques, and define technical requirements to mitigate them. Execute the Detection research roadmap across threat actor attribution, adversary infrastructure analysis, EASM insights, and STIX-based knowledge management. Conduct in-depth infrastructure and campaign analysis, including domain/IP relationships, hosting patterns, and certificates. Design and shape AI-driven security agents by encoding expert threat actor and defender reasoning into agentic flows, prompts, decision logic, and investigative strategies. Work closely with developers and data scientists to produce AI detection models. Architect and build scalable solutions to evaluate platform security metrics. The Dream Skill Set 5+ years of experience in the cybersecurity research domain In-depth knowledge of OS internals, malware analysis, and network research Strong proficiency with reverse engineering of x86/x64/ARM binaries. Experienced with analysis tools, such as IDA, WinDBG, SysInternals, etc. Solid coding skills with the ability to dive into internals and develop POC's. Curiosity and understanding of modern AI techniques - or a strong motivation to partner with AI experts to integrate domain knowledge into intelligent systems. Strong ownership and leadership skills, with a track record of driving initiatives forward. Excellent communication, teamwork, and problem-solving skills Kernel development experience - advantage Advanced C++ - advantage Never Stop Dreaming... If you think this role doesn’t fully match your skills but are eager to grow and break glass ceilings, we’d love to hear from you!