SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Claroty is a global leader in cyber-physical systems (CPS) protection, securing the critical infrastructure that powers essential operations worldwide. The company is a fast-growing, award-winning organization focused on innovation in cybersecurity.
You will serve as Director of Data & AI, leading a multidisciplinary team responsible for the company's core visibility and asset discovery engine. This is a highly specialized role combining deep expertise in cyber-physical systems security with advanced data science and AI capabilities.
Key Responsibilities:
- Lead and mentor a multidisciplinary team comprising Data Science, Network/Protocol Research, and Asset Classification specialists
- Develop and execute the data and AI strategy to revolutionize how Claroty discovers, classifies, and secures critical assets
- Integrate AI and machine learning at scale to solve real-world cyber-physical security problems with uncompromising accuracy
- Architect solutions that provide deep visibility across CPS environments without disrupting critical operations
- Drive innovation in asset discovery and classification across industrial (OT) and healthcare (IoMT) environments
- Ensure technology strategy aligns with Claroty's focus on robust, distributed, cloud-native architectures supporting both cloud and on-premises deployments
The role demands both top-tier professional expertise in cybersecurity research and the ability to seamlessly integrate data science and AI in a precise, highly productive manner. You will combine in-depth understanding of cyber-physical systems with the scale and capabilities of modern AI to achieve Claroty's ambitious visibility goals.
Company Values: People First, Customer Obsession, Strive for Excellence, and Integrity.
Requirements:
The posting does not explicitly state years of experience, educational credentials, or specific certifications required. However, the role implicitly requires: deep professional expertise in cybersecurity research and cyber-physical systems (CPS/XIoT); proven experience leading multidisciplinary technical teams; advanced knowledge of data science and AI applications; expertise in network/protocol research and asset classification; and demonstrated ability to architect scalable, distributed systems.
