A complete application in a minute
Tailored resume and cover letter, ready to send.
Armadin in Mexico is seeking an Associate Red Team Analyst who combines offensive security with AI workflows. You'll review AI attacker decisions, bypass CAPTCHAs, and provide context to help safety engineers.
This remote role involves working across multiple client engagements, evaluating safety disengagements, and feeding decisions back to engineering teams to improve AI models while maintaining rigorous safety.
At Armadin, we're a group of engineers, researchers, and security researchers on a mission to redefine what proactive security can do in the AI era. Cyberattacks are becoming autonomous and relentless and we believe defending against threats before they materialize is one of the most powerful ways to protect the institutions the world depends on.
We're building autonomous proactive security from the ground up, reinforcing the tradecraft of elite security practioners into purpose-built security models and agents that discover risk and remediate it before organizations are breached.
Led by Kevin Mandia, founder of Mandiant ($5.4B exit to Google), our team brings together researchers and engineers from Google, xAI, Meta, Stanford, Georgia Tech, Waterloo, Berkeley, and MIT to reinvent security for an adversary that never sleeps.
A successful Associate Red Team Analyst at Armadin should possess an understanding of both offensive information security and artificial intelligence workflows. They should understand fundamental concepts such as web application architecture, authentication mechanisms, and network security, and be able to learn advanced concepts such as AI safety constraints, attacker data classification, and context-driven exploit validation. This is not a traditional "monitor the dashboard" defensive SOC job; this career is technical, offensive-focused, and challenging, with opportunities to work at the cutting edge of AI-driven red teaming alongside world-class red teamers. A typical shift could involve reviewing an AI attacker's safety disengagement during a complex web application test, bypassing a sophisticated CAPTCHA to unblock an automated attack path, or providing the missing contextual judgment an AI needs to exploit a deep vulnerability. If you can rapidly evaluate applications, make critical safety judgments on the fly, think like a red teamer, and feed data back to engineering teams to improve AI models, then you’re the type of analyst we’re looking for.
Perform Disengagement Validation by reviewing AI attacker decisions to ensure each proposed action is appropriate and safe given the specific application context.
Unblock AI authentication hurdles by providing necessary context, solving CAPTCHAs, or utilizing alternative avenues to establish access.
Guide the AI during the reconnaissance phase and ensure Attack Data Classification is accurate and actionable.
Serve as a critical feedback contributor, feeding your tactical decisions back into the system to help safety engineers calibrate models, reduce false positives, and maintain rigorous safety guarantees.
Navigate and maintain deep context across multiple simultaneous client engagements.
1+ years’ experience, via internships, classes, projects, or professional work, in at least one of the following:
Web application or network penetration testing
Security Operations Center (SOC) or tactical monitoring environments
Manual interaction with complex authentication flows, APIs, or session management
Evaluating or auditing automated security tools and vulnerability scanners
Ability to rapidly context-switch between multiple live engagements while maintaining strict attention to detail and safety protocols.
Must be eligible to work in Mexico without sponsorship.
Prior experience working alongside Artificial Intelligence, Machine Learning models, or automated offensive security frameworks.
Experience in security competitions, CTFs, and/or testing platforms such as Hack the Box, TryHackMe, PortSwigger Web Security Academy, etc.
Strong technical acumen and the ability to quickly assimilate new information to make time-sensitive "human-in-the-loop" judgments.
Ability to document and explain technical decisions clearly to internal safety and engineering teams.
Remote in Mexico