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

• 5+ years of hands-on experience in security or security research.
• A strong threat-modeling mindset - deep understanding of both how attackers approach complex environments and how enterprises defend them
• Deep understanding of how complex software systems are built, so you can find where they're vulnerable (Low-level, Distributed, or Core System Engineering mindset)
• A foundation in program analysis - parsing, compilation and static code analysis — and comfort reasoning about code as data.
• Proven ability to define and implement AI agents, and to make their output reproducible.
• Proven ability to work independently, prioritize, and carry complex, multi-quarter projects from concept to working production grade software.

Preferred qualifications

• Security research experience in modern cloud environments (AWS, GCP, Azure, Kubernetes, etc) and infrastructure-as-code.
• Familiarity with model benchmarking, evaluation, fine-tuning, and with grading agent output against ground truth.
• Query languages for security telemetry, graph databases, or large-scale data-mining and clustering experience.
• Excellent written and verbal communication, with a track record of shipping alongside cross-functional teams (Product, Engineering, Research).