R&D Manager - AI & Cybersecurity

Role Overview

As the R&D Manager - AI & Cybersecurity, you will lead the development and innovation of advanced AI-driven cybersecurity solutions designed to protect enterprise and cloud infrastructures from evolving cyber threats. This is a leadership role at the intersection of artificial intelligence, security engineering, and research, offering the opportunity to shape next-generation defense technologies. You will manage a multidisciplinary team of researchers and engineers, driving projects from conceptual research through to real-world deployment.

Key Responsibilities

• Lead and manage R&D initiatives focused on AI-powered cybersecurity systems, including anomaly detection, threat simulation, and vulnerability analysis.
• Drive the design and optimization of machine learning and deep learning models tailored to adversarial scenarios and cybersecurity use cases.
• Oversee the development of behavioral analytics, graph-based threat modeling, and intelligent automation frameworks.
• Guide red / blue team exercises and the creation of autonomous agents for continuous threat emulation.
• Collaborate closely with engineering, product, and executive teams to align R&D output with commercial product strategies.
• Contribute to technical roadmaps and ensure timely delivery of high-impact solutions.
• Represent the organization at conferences, technical forums, and in peer-reviewed publications.

Requirements

Vulnerability research (fuzzing, binary analysis, static / dynamic analysis)

Penetration testing or red / blue team operations

Machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn

Behavioral modeling or graph-based security inference (e.g., GNNs)

Preferred Qualifications

What We Offer