Staff+ Security Engineer (AI)

Location: San Francisco, CA; New York City, NY; or Seattle, WA. Staff are expected to work from one of the offices at least 25% of the time, with some roles requiring more office time.

Annual salary: $320,000–$405,000 USD

Company

Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.

What you will do

• Own complex security risk problems end to end, from threat assessment and severity calibration through escalation, treatment, and remediation.
• Build risk quantification tools, automated intake and triage workflows, dashboards, and data pipelines that make security risk measurable and visible.
• Partner with Security Engineering to pressure-test architectures, prioritize remediation roadmaps, and support investment decisions.
• Design AI-native risk tooling using Claude to classify risks, augment triage, and detect changes in the risk landscape.
• Assess security domains including identity and secrets management, developer security and supply chain, infrastructure and cloud security, and secure frameworks.
• Mentor engineers and risk practitioners while helping establish a risk engineering culture across the organization.

Requirements

• At least 8 years of software engineering or security engineering experience, including independently leading and remediating complex security risks.
• Bachelor’s degree in a relevant field or equivalent education, training, and experience.
• Strong programming skills in Python or a systems language such as Go, Rust, or C/C++.
• Broad security engineering knowledge with depth in at least one core domain, such as identity, secrets, supply-chain, infrastructure, cloud security, or secure frameworks.
• Experience leading cross-functional security initiatives, communicating technical concepts clearly, and driving ambiguous problems to resolution.
• Passion for AI safety and the role of security and risk management in trustworthy AI systems.

Nice to have

• Experience owning security risks through discovery, executive review, remediation, and measurable outcomes.
• Experience building security automation, detection, or risk platforms adopted across an engineering organization.
• Experience shipping LLM- or agent-powered security and risk workflows.
• Experience with quantified security risk programs, FAIR-style analysis, Monte Carlo simulation, or loss exceedance analysis.
• Familiarity with SOC 2, ISO 27001, or FedRAMP.

Culture & Benefits

• Collaborative work on large-scale research efforts focused on steerable and trustworthy AI.
• Flexible working hours and office-based collaboration.
• Generous vacation and parental leave.
• Competitive compensation, benefits, and optional equity donation matching.
• Visa sponsorship is available, with immigration lawyer support, subject to role and candidate eligibility.