Engineering Manager, Automation Intelligence
Lead a senior engineering team taking an automation intelligence product from beta through launch, while owning detection quality, service readiness, team growth, and an AI-native engineering model.
At Dragos, the mission is personal. The systems we protect deliver the water you drink, power your home, and keep the hospitals your community depends on running. Those critical infrastructure systems that power our civilization around the world are under attack every day by adversaries. When those systems fail, people are immediately at risk. We are the global leader in xOT cybersecurity, combining technology, threat intelligence, and expert services. The people here chose this work because they understand what is at stake. Here, you will find a remote-first mission-driven team across North America, Europe, the Middle East, and APAC built on authenticity, transparency, and trust. If safeguarding the systems that protect your family, friends, and community is the kind of work that matters to you, you are in the right place.
About the Role:
We are looking for a Device Engineering Manager to lead the team that builds our device intelligence: the scanning and fingerprinting that discovers and classifies every asset on a customer network, the profiles and probes that pull information off those devices, and the actions we take on them, including credential rotation, firmware updates, certificate management, and configuration change control.
A core part of this team is device reverse engineering. These engineers work out how a device actually communicates when there is no documentation to rely on and turn that understanding into automated, supported product capabilities. You will set the direction for where that reverse engineering investment goes and hold the documentation and test standards that make it reusable rather than one-off.
Responsibilities:
Qualifications:
Compensation:
#LI-NH1 #LI-REMOTE
Dragos is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, state, or local laws. All new hires must pass a background check as a condition of employment.
Lead a senior engineering team taking an automation intelligence product from beta through launch, while owning detection quality, service readiness, team growth, and an AI-native engineering model.
Leads engineering teams responsible for critical platform services, setting technical direction and building reliable, secure systems at scale while developing leaders and connecting engineering investments to business outcomes.
Leads a distributed Antibot Engineering team, setting priorities and delivery plans while developing engineers and driving R&D that improves the effectiveness, durability, and scalability of Antibot capabilities.
Lead Headwayβs web platform strategy and a team of five frontend engineers, shaping its design system, web architecture, and AI-assisted UI standards while partnering across Engineering and Design.
Lead a small engineering pod while staying hands-on, owning platform architecture and engineering practices, and guiding applied machine learning strategy and product delivery.