Manager, Data Science; Remote Ireland or Spain

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.

About the Role:

Crowd Strike’s CTO Labs team is seeking a Manager to lead a team of data scientists at the intersection of Machine Learning, Big Data, and Security. This is a leadership role where you will guide a team working on cutting-edge threat detection and agentic AI systems for cybersecurity.

As a technical leader, you will drive the strategic direction of machine learning initiatives, mentor and develop your team, and collaborate across functions to deliver innovative security solutions. You’ll leverage Crowd Strike’s unique cybersecurity data—processing nearly a trillion behavioural events per day and over 2000 terabytes of malware samples—to advance our threat detection capabilities and explore new frontiers in AI-driven security.

This role requires a unique combination of deep machine learning expertise and cybersecurity domain knowledge, as you’ll bridge the gap between data science and security operations to deliver meaningful impact for our customers.

What You’ll Do:

Lead and mentor a team of data scientists, providing technical guidance, career development, and performance management

Establish technical standards and best practices for ML development, deployment, and monitoring

Define and drive the technical strategy for machine learning initiatives in threat detection and agentic AI for security

Lead ML projects from initial research through production deployment, ensuring successful delivery and measurable impact

Plan and prioritize team roadmaps, balancing research innovation with delivery of production ML systems

Stay current with emerging trends in ML and cybersecurity, and evaluate new technologies for potential adoption

Collaborate with cross-functional teams including security research, engineering, and product to align ML capabilities with business objectives

Partner with security domain experts to identify high-impact opportunities where ML can enhance threat detection and response

Communicate complex technical concepts and ML insights to stakeholders across the organization

Guide the development of advanced models for malware detection, behavioural threat analysis, and AI-driven security automation

Drive research initiatives that result in publications, blog posts, patents, and other contributions to the ML and security communities

Contribute to hands-on technical work when needed, maintaining deep expertise in ML systems and security applications

What You’ll Need:

Advanced degree (Master’s or PhD) in…