We're looking for a talented AI Security Researcher to join our team and play a critical role in our 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.
Responsibilities
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.
Responsibilities
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:
Minimum qualifications
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.
Preferred qualifications
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.
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.
Minimum qualifications
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.
Preferred qualifications
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.
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.
This position is open to all candidates.
