Pentest Product Associate
Posted 20 Jan 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 2+ yrs
- Management level
- Individual contributor
- Visa sponsorship
- Not offered
No salary listed for this role.
Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google, meaning we offer our customers an AI-powered platform that harnesses Google’s Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation.
Our Wizards from all over the globe work together to protect the infrastructure of our customers, including over 65% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun!
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.