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We are looking for a passionate and skilled Team Leader to join and lead our Network Threat Prevention group. This is a unique opportunity to lead a talented team of engineers working on the front lines of Cyber Security, delivering real-time protections against network threats and vulnerabilities affecting millions of users globally.

As a leader in this group, you will drive the development of innovative security solutions, lead research into cutting-edge network threats, and ensure timely delivery of protections in response to the rapidly evolving threat landscape.

Key Responsibilities
Lead a team of security researchers and engineers in developing network threat protections for Check Points Network Security products.
Guide the team in analyzing emerging vulnerabilities, attack techniques, malware campaigns, and network applications.
Oversee the development and release of detection and prevention signatures and updates across the companys product lines.
Collaborate closely with product management, QA, and global threat intelligence teams to align goals and deliver effective protections.
Drive the teams technical vision, mentor team members, and help them grow in both skills and impact.
Ensure high quality, performance, and stability of security updates delivered to customers.
Maintain awareness of the latest industry trends and technologies in network security and threat research.

Were looking for a Cyber & Data Analyst with a hackers curiosity and a data scientists precision, ready to craft high-fidelity detections and AI-powered insights. Youll be diving into huge log datasets in Azure (ADX), designing custom detection algorithms, and experimenting with advanced statistical models and AI techniques to detect hidden patterns and anomalies. This is a hands-on, impact-driven role where cyber expertise meets big data.

Key Responsibilities
Research, design, and deploy next-gen XDR and NDR detection rules across massive cybersecurity log datasets.
Hunt for unknown threats by analyzing attacker TTPs, malware behaviors, and building proactive detections.
Dive into large-scale data lakes to uncover anomalies, trends, and new detection opportunities, turning raw data into actionable algorithms.
Collaborate with cross-functional teams to build content-driven security features that raise the bar for detection quality.
Experiment with new AI models and advanced analytics to shape the future of cyber detection.