ARG Engineering Manager

Coinscapture; United States; On-site; USD 170,000 - 210,000; Full time

Job summary

Stripe is seeking an Engineering Manager to lead the Abuse Research Group (ARG), a team of threat intelligence analysts, fraud researchers, and detection engineers. You will set the research agenda, drive investigations, and ensure findings become production-ready detection rules and automated responses.

You will scale the team through hiring, coaching, and mentorship while partnering with Risk, Trust & Safety, Fraud Platform, and Security Engineering to fortify Stripe’s defenses against abuse

Qualifications

• 10+ years leading security engineering or research teams.
• Experience in adversarial threat intelligence and fraud detection.
• Ability to present complex findings to leadership and coordinate with partners.

Responsibilities

• Lead the Abuse Research Group (ARG) and set the research agenda.
• Hire, coach, and develop team members to grow expertise.
• Translate research into production-grade detection rules and automation.
• Collaborate with Risk, Trust & Safety, Fraud Platform, and Security Engineering.
• Coordinate with law enforcement and other external stakeholders.

Skills

Threat intelligence leadership

Fraud research & detection engineering

Threat actor tracking & investigations

OSINT & dark web collection

Operational communication to leaders

Cross-functional collaboration

Education

B.S./M.S. in Computer Science or Security

Tools

ATT&CK framework

STIX/TAXII

Detection engineering tooling

Job description

# ARG Engineering ManagerStripeOn-siteUnited StatesCybersecurityPosted Oct 6, 2026Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Abuse Research team is dedicated to proactively hunting for emerging abuse vectors and studying complex attacker behaviors. Rather than just reacting to alerts, the team maps complete abuse paths across Stripe products and external systems to validate novel findings and explain the underlying product conditions that enable fraud. By building continuous abuse tests with agentic testing and related systems, they translate their deep research into actionable threat advisories, strategic control recommendations, and regression scenarios that fortify Stripe’s defenses. What you’ll do You will lead the Abuse Research Group (ARG)—a team of threat intelligence analysts, fraud researchers, and detection engineers focused on proactively identifying and mitigating threats to Stripe and our merchants. You will set the research agenda, guiding work across threat actor tracking, hands-on fraud investigations, merchant ecosystem defense, and the detection pipelines that turn findings into production enforcement. You will scale the team through hiring, coaching, and talent development, while serving as a technical advisor on complex investigations. You will also own ARG's relationships with key partners—including Risk, Trust & Safety, Fraud Platform, and Security Engineering. • 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 Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. 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.