About our client: They offer an Agentic AI platform for autonomous penetration testing and red teaming across Web, API, and infrastructure. It discovers shadow assets and web applications, safely validates what is exploitable, and connects findings into multi-stage attack paths with near-zero false positives. Unlike traditional scanners, it discovers credential reuse, business-logic flaws, privilege escalation, and app-to-app or app-to-network lateral movement. It can operate autonomously or with expert-in-the-loop validation. Role: Pre-Sales Solutions Engineer, Offensive Security Location: Mumbai/Bangalore Offensive Security G Solution Expertise Own technical discovery for enterprise opportunities across Web, API, infrastructure, ASM, CART, penetration testing, and red-team validation use cases. Design and run controlled POCs with transparent scope, success criteria, rules of engagement, exclusions, safety boundaries, test windows, credentials, and expected outcomes. Demonstrate capabilities across asset discovery, shadow asset identification, Web/API testing, exploit validation,



evidence review, attack-path analysis, reporting, and remediation workflows. Explain the difference between vulnerability detection, exploit validation, attack simulation, exposure management, BAS, DAST, PTaa S, manual pentesting, and autonomous penetration testing. Handle technical objections around false positives, false negatives, probabilistic coverage, production safety, scope limitations, repeatability, and evidencequality. Understand and explain Web and API security issues including authentication flaws, authorisation bypass, business-logic vulnerabilities, credential reuse, privilege escalation, broken access control, insecure APIs, and app-to-infrastructure attack paths. Engage confidently on OWASP Top 10, OWASP API Top 10, MITRE ATT&CK;, PTES, red-team methodology, vulnerability management, and enterprise security validation practices. Address enterprise requirements around deployment m

📌 Presales Engineer (Mumbai)
🏢 Sales & Profit
📍 Mumbai