Minimum Qualifications

• 2 years of hands-on experience in AppSec or penetration testing, including proficiency with enterprise tools like Burp Suite, OWASP ZAP, or Acunetix.
• Hands-on experience with Linux, Windows, Docker, Kubernetes, web protocols (HTTP/S, REST, GraphQL), and authentication mechanisms (OAuth, SAML).
• Proficiency in scripting languages such as Python, Bash, or Go to automate security tasks and interact with codebases.
• Solid knowledge of networking concepts, the OSI model, and cloud infrastructure (AWS, Azure, or GCP).

Preferred Qualifications

• Knowledge of AI/ML and how LLMs or reinforcement learning agents operate within a cybersecurity context.
• SaaS and cloud experience, with familiarity in AWS, Azure, or GCP environments and modern cloud-native architectures.
• A red teaming background, with experience in simulated adversarial attacks and bypassing standard WAF or security controls.
• An analytical mindset with the ability to diagnose complex logs and scans to distinguish between tool failures, configuration issues, and valid security findings.
• Self-motivated with the ability to work collaboratively and communicate high-stakes security concepts effectively across teams.

About the job

We’re looking for a Pentest Product Associate to join our Product team and help expand the power of Wiz. In this pivotal role, you will be the primary operator of our cutting-edge AI-driven Dynamic Application Security Testing (DAST) agent while simultaneously innovating detection mechanisms for cloud-native technologies. You will bridge the gap between automated AI testing and cloud infrastructure, defining the "rules of engagement" for our agents to ensure they effectively simulate sophisticated attacks and accurately classify the modern attack surface.

Responsibilities

• Develop advanced detection algorithms to classify cloud technologies while fine-tuning the attack policies that define how our agents identify and exploit vulnerabilities.
• Analyze cloud services, APIs, and log payloads to review complex attack paths, reducing false positives and ensuring compliance with industry standards.
• Stay at the forefront of novel attack vectors and emerging cloud/API threats, translating new techniques into executable behaviors for the Wiz DAST engine.
• Collaborate directly with Research, Backend, and R&D teams to turn operational insights into feature requests, positioning Wiz as the market leader in vulnerability management.