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Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. We're looking for a talented Threat Researcher (AI) to join our team and play a critical role in Wiz's foundational, risk-driven approach to cloud security. This role requires deep technical research into complex cloud- and AI-native environments to identify the most significant, unaddressed risks.
Job Responsibility:
Conduct deep technical research to discover and report novel risks and attack vectors specific to modern cloud- and AI-native architectures and systems
Discover and articulate the highest unaddressed risk areas, working with Product and Engineering teams to translate research into product capabilities
Define necessary foundational product capabilities by delivering both compelling proofs of risk (demonstrating impact) and technical POCs (showing how to solve it)
Work closely with Product and Engineering teams to ensure comprehensive risk coverage and support the investigation of new and complex product scope
Requirements:
5+ years of hands-on experience in security or security research, specifically relevant to modern cloud environments (AWS, GCP, Azure, Kubernetes, etc.)
Strong hands-on skills with scripting languages (e.g., Python, Go) for automation and research, as well as query languages (e.g., KQL, SQL) for efficient data analysis of security telemetry
Proven ability to work independently, prioritize effectively, and drive complex, multi-quarter research projects from initial concept through to clear, delivered impact
Excellent written and verbal communication skills, with a track record of successfully collaborating with cross-functional teams (e.g Product, Engineering, Marketing) to achieve shared goals
Nice to have:
Specialized knowledge or research experience in AI security, focusing on risks to AI as deployed in the enterprise
Experience in public-facing work, such as presenting at recognized industry conferences, authoring technical blog posts, or publishing research
Experience conducting data-driven research and working with large-scale security telemetry to derive statistically significant or high-impact findings