Jason (“Jay”) Mar-Tang is a cybersecurity GTM leader with more than 20 years in technology and over 15 years of experience across security operations, identity, offensive security, and enterprise security strategy.
He began his career in New York City at 17, working in IT at Thacher Proffitt & Wood LLP. Through the INROADS program, Jay later joined MetLife as an intern and went on to work full-time while completing his B.S. in Computer Engineering at Hofstra University.
In 2010, he joined RSA (the security division of EMC) as part of the Global Services Associate Program (GSAP), where he gained broad exposure to the cybersecurity landscape. As a solutions engineer, he worked across multifactor authentication (MFA), data loss prevention (DLP), and SIEM technologies. After RSA’s acquisitions of NetWitness and ECAT, Jay expanded into network forensics, endpoint detection, and incident response, supporting customers throughout the New York City region.
In 2017, he shifted his focus to privileged identity security by joining CyberArk. There, he helped organizations secure credentials and control privilege escalation across servers and endpoints, deepening his expertise in identity-driven attack paths.
Jay’s direction evolved again in 2020 when he joined Pentera, moving from purely defensive solutions to offensive validation. Pentera enabled customers to evaluate their environments from the attacker’s perspective, aligning directly with Jay’s interest in proactive security. He led the North America and Latin America solutions engineering organizations from 2022 to 2023 and, in 2024, stepped into the Field CISO role advising CISOs, shaping enterprise security strategy, and championing the value of continuous security validation.
After years of seeing the value of automating with Pentera, a new opportunity presented itself: AgenticAI. Jay decided to go back to security operations, but now with the edge that AI brings to the game. He co-founded SURGE in 2025, and is actively evangelizing the value of AgenticAI in security currently.
