Engineering Manager, SDET - 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 SDET Engineering Manager to lead our quality engineering efforts within the AI Detection and Response (AIDR) team. In this role, you will lead a team of SDETs responsible for end-to-end validation of AIDR services — a platform that processes millions of AI security events per second and manages petabytes of critical AI data. Your team will own test strategy, tooling, frameworks, and automation across both cloud-side backend services and UI applications, ensuring the system behaves correctly at every stage from individual components to full system behavior.

This is a deeply technical, hands‑on leadership position where you are expected to be in the weeds daily — writing code, building test frameworks, debugging complex distributed system failures, and leading by example. You'll set the quality bar not just through strategy and process, but by demonstrating what engineering excellence looks like. While you will grow and mentor your team, you will remain a strong individual contributor who also leads people.

Your team's work spans functional, performance, contract, and chaos/resilience engineering — ensuring that AIDR's services maintain the highest standards of reliability and security as we 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 SDET team while personally remaining deeply technical and hands‑on in the codebase

• Architecting enterprise‑grade test frameworks and automation that validate systems scaling from thousands to millions of requests per second

• Driving quality culture across the broader AIDR engineering organization

• Partnering effectively with backend, UI, and product teams to embed quality at every stage of the development lifecycle

• Attracting, developing, and retaining top quality engineering talent

• Lead, mentor, and grow a team of SDETs while being hands‑on enough to build test frameworks, write automation, develop tooling, and debug complex failures alongside your team

• Own and drive testing strategy across functional, performance, contract, and chaos/resilience testing concerns for the AIDR platform

• Be in the weeds on production issues — tracing distributed calls, identifying root causes, and writing regression tests to prevent recurrence

• Participate actively in code and design reviews — reviewing both your team's work and product code with a quality‑first lens, providing guidance on testability and code hygiene

• Define and maintain quality gates across CI/CD pipelines, ensuring automated validation is comprehensive and reliable

• Partner with backend and UI engineering managers to align on quality standards, shared tooling, and testing best practices

• Manage team capacity, sprint…