Manager, AI and Cloud Solutions

Dragos is on a relentless mission to defend industrial organizations that provide us with the necessities of modern civilization; running water, functioning electricity, and safe industrial working environments. As the market leader in ICS/OT Cybersecurity, we are dedicated to arming our customers with best-in-class technology, threat intelligence, and services to protect their systems as effectively and efficiently as possible. We’re a remote-first culture with operations in North America, Europe, the Middle East, and APAC. We’re looking for mission-oriented teammates who embody our core values of authenticity, transparency, and trust. Are you ready to make a difference? Come join a mission that can save the world! About the Role:

Dragos is looking for a hands-on technical leader to own two of our complimentary workstreams: enterprise cloud infrastructure management and internal AI delivery. As a Manager, AI and Cloud Solutions on our IT team, you'll take prioritized business problems and turn them into reliable, secure, and scalable production services — while building and guiding a small team of cloud and AI engineers. Your scope spans cloud operations across AWS and Azure (architecture, security, cost, and reliability) and AI enablement (deploying AI-powered applications, integrating copilots and agents into enterprise systems, and making them production-ready). This is a hands-on builder and team leadership role for someone who thrives on turning real business problems into durable, scalable technology while also growing and guiding a small team of cloud and AI engineers. Responsibilities:

• Implement and manage AI-powered tools, copilots, and workflow automations from POC to production, owning the full technical lifecycle including integrations with enterprise systems via APIs, webhooks, MCP servers, and core SaaS tooling. - Design, deploy, and maintain cloud infrastructure on AWS and Azure, including IAM, VPCs, security groups, multi-account strategies, and cost optimization through Savings Plans and resource right-sizing. - Prioritize capabilities already available in the existing tech stack and design targeted, scalable services only when genuine gaps exist. - Own reliability, observability, and security controls across all AI and cloud services, including incident response, debugging complex multi-service environments, and driving continuous improvement in partnership with the Security team. - Instrument solutions, collect adoption metrics and user feedback, and iterate based on real-world usage and business outcomes. - Supervise and mentor a team of cloud and AI engineers and contractors through 1:1s, technical guidance, work planning, sprint prioritization, and professional development. - Set clear expectations, provide ongoing feedback, conduct performance reviews, and contribute to hiring decisions for the cloud and AI engineering team. :