• Proactively hunt for vulnerabilities in the interactions between our agentic applications, cloud infrastructure, and foundational models, with a focus on realistic, high-impact attack vectors.

• Design and execute red and purple team exercises, simulating sophisticated adversarial scenarios to stress-test our defenses and refine our detection capabilities.

• Partner with defensive teams to translate offensive insights into actionable improvements, from detection engineering to incident response.

• Conduct in-depth penetration testing across our product suite, including AI-driven workflows, custom infrastructure, and user-facing interfaces.

• Build and automate offensive tooling to scale your impact, leveraging cutting-edge techniques to stay ahead of emerging threats.

• Communicate findings with clarity and conviction, ensuring technical and non-technical stakeholders understand risks and prioritize mitigations effectively.

• Shape Mistral AI's security strategy by contributing attacker-informed perspectives to threat modeling, risk assessment, and architectural decisions.

You're likely a strong fit if you bring:

• 7+ years of offensive security experience, with a track record of identifying and exploiting subtle vulnerabilities in complex systems-or equivalent expertise demonstrated through exceptional achievements.

• Deep knowledge of AI/ML security risks, including prompt injection, data leakage, model manipulation, and abuses of dynamic UI components.

• Hands-on experience assessing modern technology stacks, such as:

  • Custom Kubernetes deployments and containerized environments

  • Cloud-native architectures (AWS, GCP, or Azure)

  • CI/CD pipelines and GitHub security best practices

  • macOS/Linux internals and Python/React-based applications

  • Data science toolchains and AI/ML infrastructure

• A builder's mindset: The ability to write robust tools, automate offensive workflows, and contribute to defensive solutions in complex codebases.

• Strong intuition for trust boundaries and risk assessment in fast-moving, high-stakes environments.

• Outstanding communication skills, with the ability to distill technical nuances into compelling narratives that drive change.

• A collaborative spirit, eager to work alongside engineers, researchers, and product teams to embed security into every phase of development.

Now, it would be ideal if you had experience with:

• Background in AI, data science, or related fields, with an understanding of how security intersects with model behavior and system design.

• Experience in high-growth startups or research-driven organizations, where agility and innovation are paramount.

• Expertise in adjacent disciplines, such as software engineering, detection engineering, SRE, or security architecture.