Engineering Manager

Job Description

Responsibilities

• Lead, develop, and retain a team of threat intelligence analysts, fraud researchers, and detection engineers who thrive at the intersection of adversarial research and engineering
• Set and execute the research agenda across threat actor tracking, fraud investigation, merchant ecosystem defense, and automated detection engineering
• Provide technical depth and analytical judgment on complex investigations, including API key takeovers, account compromise campaigns, and KYC bypass techniques
• Operationalize research findings into production-level detection rules, automated response mechanisms, and cross-functional escalations
• Collaborate with Risk, Trust & Safety, Fraud Platform, and Security Engineering to translate abuse research into proactive platform protections
• Coordinate with external stakeholders, including law enforcement, to disrupt and attribute high-impact threat actors
• Coach and mentor individual contributors to support their career development while maintaining high technical standards

Minimum requirements

• 10+ years of experience leading security engineering or research teams, with a track record of managing technical ICs doing investigative, intelligence, or detection work. 
• B.S. or M.S. Computer Science or related field, or equivalent experience in Security
• Experience recruiting, growing, and leading technical teams, including performance management
• Excellent written and verbal communication skills, including the ability to develop and deliver operational or incident-related information to leadership
• Familiarity with fraud and abuse patterns specific to payments and fintech
• Hands-on experience with threat intelligence tradecraft: OSINT, dark web collection, actor attribution, and working with structured intelligence frameworks (ATT&CK, STIX/TAXII, or equivalent)
• Strong understanding of threat actor tactics, techniques, and procedures (TTPs)

Preferred qualifications

• Background in security research, threat intelligence, or fraud detection engineering — prior experience leading or working in teams that study adversary behavior, build detection systems, or operate intelligence programs; experience in payments, fintech, or financial crime is a strong plus. 
• Technical fluency across the domains ARG works in — threat intelligence, fraud signal development, detection engineering, and OSINT.
• Experience managing or growing technical research teams, ideally in a domain where the work is investigative, ambiguous, and doesn’t map cleanly to sprint velocity.

Are you interested in this position?
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