Staff+ Security Engineer (Risk Engineering)

Join Anthropic, a leading AI safety and research company, as a Staff+ Security Engineer (Risk Engineering). In this role, you will be responsible for identifying, prioritizing, and driving the treatment of the company's most important security risks. You will work across a breadth of areas, from identity and secrets management to infrastructure security, and help define the architecture and discipline of risk management. This is a largely greenfield position, allowing you to take ownership of complex security risk problems and drive them end to end.

• Take ownership of Anthropic’s most complex security risk problems and drive them end to end with minimal oversight, turning ambiguous signals into a defensible view of severity and likelihood.
• Build the systems that make risk measurable and let risk work scale, including quantification tooling, automated intake and triage, and the observability that partner teams use to understand their own risk posture.
• Work alongside Security Engineering as a calibrated technical peer who pressure tests architectures and treatment plans, translates findings into prioritized remediation roadmaps, and makes the investment case for what to fix now.
• Low ego and high empathy, with a history of growing the engineers around you and supporting diverse, inclusive teams
• Outstanding communication skills, translating technical concepts effectively across all levels of the organization
• A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution
• Strong programming skills in Python or at least one systems language such as Go, Rust, or C/C++
• Broad knowledge across the core security engineering domains, with depth in at least one, including identity and secrets management, developer security and supply chain, infrastructure and cloud security, and secure frameworks
• At least 8 years of software engineering or security engineering experience, including leading and remediating complex security risks independently
• Passion for AI safety and the role security and risk management play in building trustworthy AI systems
• Experience leading cross-functional security initiatives and navigating complex organizational dynamics
• Bachelor’s degree in a related field or equivalent experience
• Calibrated risk judgment, meaning you can put a defensible severity and likelihood on an ambiguous problem and change your position when the evidence changes
• Owned a named security risk and driven it from discovery through remediation across multiple teams
• Briefed executives on risk decisions and defended accept, remediate, or transfer recommendations under challenge
• Built security automation, detection, or risk platforms adopted across an engineering organization
• Shipped LLM or agent-powered tooling and workflows that automate security or risk activities
• A security engineering, detection engineering, or offensive security background with a risk-based prioritization mindset
• Built or operated a quantified security risk program (FAIR-style decomposition, Monte Carlo simulation, loss exceedance analysis) whose outputs changed real resource decisions
• Enough familiarity with SOC 2, ISO 27001, or FedRAMP to know what compliance does and does not buy you
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed