SUMMARYWe’re looking for a talented AI Security Researcher 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.
WHAT YOU’LL DO
- 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.
WHAT YOU’LL BRING
- 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.
ADVANTAGE
- 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.
Originally posted on Himalayas
