Engineering Manager, Cloud Backend - AI Detection and Response; AIDR); Hybrid

As a global leader in cybersecurity, Crowd Strike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily.

Our customers span all industries, and they count on Crowd Strike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. Crowd Strikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation.

We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented Crowd Strikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters?

The future of cybersecurity starts with you.

Crowd Strike is seeking an experienced Engineering Manager to lead a cloud backend team within our AI Detection and Response (AIDR) group. In this role, you will lead a team of talented engineers responsible for building and operating the next generation of AIDR provisioning and orchestration systems. When customers onboard to the AIDR platform, your team ensures they become operational seamlessly — from initializing customer stores and configuring security policies, to setting up management groups, provisioning data stores, and enabling configuration across dependent services.

Your team manages the automation of this complex orchestration to deliver a frictionless customer experience at massive scale. You'll play a critical role in enhancing existing provisioning flows and architecting next-generation systems that support millions of AI security events per second across petabytes of critical data. This is a player-coach role — while your primary focus is leading and growing your team, you will also contribute code, prototype solutions, and stay deeply embedded in the technical work when needed.

This is an opportunity to lead at the intersection of people leadership and technical excellence, building both high-performing teams and high-performing systems that protect organizations worldwide from sophisticated AI-based threats.

PLEASE NOTE:

This role is hybrid, requiring 2-3 days per week on-site at one of the posted locations.

• Building and leading a high-performing engineering team that delivers with velocity while maintaining the highest standards of quality, security, and reliability
• Architecting and driving the evolution of provisioning and orchestration systems that scale seamlessly as AIDR's customer base grows
• Driving operational excellence through proactive system improvements, robust monitoring, and rapid incident resolution
• Fostering a culture of ownership, collaboration, continuous learning, and engineering excellence
• Partnering effectively with product management, peer engineering teams, and cross-functional stakeholders to align on priorities and deliver business outcomes
• Attracting, developing, and retaining top engineering talent

• Lead, mentor, and grow a team of backend engineers building cloud-native provisioning and orchestration services for the AIDR platform
• Own the technical vision and roadmap for customer lifecycle management — onboarding, provisioning, configuration, and orchestration across dependent services
• Drive architectural decisions for highly scalable, reliable, and secure distributed systems
• Contribute directly to the codebase as needed — whether unblocking critical deliverables, prototyping new approaches, fixing production issues, or filling gaps during team scaling (expect ~20-30% hands‑on coding depending on team needs)
• Partner with product management to…