CTI Analyst

Description:

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 CTI Analyst who is passionate about turning raw threat data into clear, evidence-backed intelligence and operational outcomes. You’ll play a major role in advancing our next-gen CTI platform across threat actor attribution, adversary infrastructure analysis, External Attack Surface Management (EASM), and STIX-based knowledge management - Working closely with the Engineering, MLOps, and Data teams to deliver high-signal intelligence that drives action. 

• Execute the CTI 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. 
• Identify, validate, and track Indicators of Compromise (IOCs) and emerging threats using passive sources and approved active techniques. 
• Normalize, enrich, deduplicate, and maintain intelligence in STIX 2.1, aligned with internal ontology and quality standards. 
• Collaborate with the Engineering, MLOps, and Data teams to translate intelligence into actionable intelligence, alerts, and customer-facing outputs. 
• Produce high-quality intelligence reports, threat briefs, watchlists, and early-warning assessments for internal teams and customers. 
• Support investigations by providing contextual analysis, confidence scoring, and evidence-backed assessments. 
• Ensure adherence to governance, ethics, sourcing, provenance, and data-quality standards across all intelligence outputs.