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Armadin is seeking a Forward Deployed Engineer to embed with enterprise teams, deploy our agentic platform, and craft customer-specific integrations. You will own the end-to-end deployment, address wall-balls, and ship fixes the same night. You’ll bring learnings back to product to accelerate future deployments.
You’ll work with security, platform, and DevOps teams, turning ambiguous requirements into concrete deployment plans and ensuring operational health across critical deployments.
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.
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.
As a Forward Deployed Engineer at Armadin, you'll embed with enterprise teams, deploy our agentic platform into their environment, and build whatever it takes to make it work for them. You're the person in the room when the customer hits a wall and the person who ships the fix that night. Your job is to make every customer feel like Armadin was built for them, then bring what you learn back into the product so the next deployment is faster than the last.