United Kingdom
- RemoteSpain
- RemoteIreland
- RemoteFull timeR29099As a integral leader in cybersecurity, CrowdStrike 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 CrowdStrike 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. CrowdStrikers 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 CrowdStrikers 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
CrowdStrike’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 CrowdStrike’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 managementEstablish technical standards and best practices for ML development, deployment, and monitoringDefine and drive the technical strategy for machine learning initiatives in threat detection and agentic AI for securityLead ML projects from initial research through production deployment, ensuring successful delivery and measurable impactPlan and prioritize team roadmaps, balancing research innovation with delivery of production ML systemsStay current with emerging trends in ML and cybersecurity, and evaluate new technologies for potential adoptionCollaborate with cross‑functional teams including security research, engineering,



and product to align ML capabilities with business objectivesPartner with security domain experts to identify high‑impact opportunities where ML can enhance threat detection and responseCommunicate complex technical concepts and ML insights to stakeholders across the organizationGuide the development of advanced models for malware detection, behavioural threat analysis, and AI‑driven security automationDrive research initiatives that result in publications, blog posts, patents, and other contributions to the ML and security communitiesContribute to hands‑on technical work when needed, maintaining deep expertise in ML systems and security applicationsWhat You’ll Need: Advanced degree (Master’s or PhD) in Computer Science, Data Science, Mathematics, Physics, or related STEM field, OR Bachelor’s degree with equivalent experience5+ years of experience in data science and machine learning, with at least 2 years in a technical leadership or team lead capacityProven track record of leading ML projects from research to production deploymentStrong understanding of cybersecurity concepts, threat landscape, and security operations; candidates with dual expertise in both machine learning and security domains are particularly well‑suited for this roleProgramming proficiency in Python and experience with ML frameworks and big data technologiesExperience mentoring and developing data scientists and ML engineersDemonstrated ability to collaborate with cross‑functional teams and communicate technical concepts to non‑technical stakeholdersBonus Points: Deep expertise in cybersecurity, including experience in threat intelligence, malware analysis, or security operationsExperience with agentic AI systems, LLMs, or autonomous security automationTrack record of working with very large, sparse, high‑dimensional datasets in production environmentsExperience with advanced ML techniques including

📌 Manager, Data Science (Valencia)
🏢 CrowdStrike
📍 Valencia