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.

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.

• 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. 

• 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 

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!