Responsibilities
Research, develop, and implement new offensive security capabilities that push the boundaries of the EASM category, including exploit development and PoC creation across web applications, AI/LLM assets, network infrastructure, cloud environments, and supply chain dependencies.
Drive innovation by conceptualizing, implementing, and adopting AI-driven initiatives and offensive security expertise to enhance our detection, validation, and automation capabilities at scale.
Conduct in-depth research to continuously expand platform coverage.
Develop exploitability tests to uncover critical, real-world findings across enterprise attack surfaces – directly demonstrating the power of the platform.
Collaborate with global enterprises as design partners to understand their security needs and design solutions accordingly.
Take ownership of key research projects, addressing security and scalability challenges from concept through to delivery.
Requirements:
3+ years of hands-on experience in security research, offensive security, or software development.
Practical experience conducting offensive security assessments, including web application exploitation, network-based attacks, and adversarial attack simulation.
Strong development skills (Python – advantage): capable of writing production-quality, scalable code.
Advantages:
Prior published CVEs, conference talks, or public security research is a strong plus.
Bachelor's degree in Computer Science, Computer Engineering, or equivalent experience is preferred.
Experience with leveraging emerging LLMs and AI capabilities.
