Anthropic
Staff Security Engineer, Risk Engineering
$320K–$405K
San Francisco, CA +3 · Staff · Full-time · Posted Jun 8, 2026
- Location
- San Francisco, CA
New York City, NY
Seattle, WA
San Francisco, California, United States - Experience
- At least 8 years of software engineering or security engineering experience. Logistics also states that required years correlate with internal job-level requirements.
- Education
- Bachelor’s degree in a related field or equivalent experience. Logistics specifies a field relevant to the role, demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; if an offer is made, Anthropic will make every reasonable effort to obtain a visa and provides an immigration lawyer.
About the job
Build and lead engineering systems and practices that identify, quantify, prioritize, and reduce security risks across Anthropic, including AI-native risk tooling.
What you'll do
- Lead complex security risk assessments and remediation from discovery through escalation and treatment decisions.
- Build risk quantification tools, automated intake and triage, dashboards, and data pipelines, including tooling that uses Claude.
- Partner with Security Engineering and risk owners on remediation roadmaps, investment decisions, and risk ownership.
What they ask for
- At least 8 years of software engineering or security engineering experience, including independently leading and remediating complex security risks.
- Bachelor’s degree in a related field or equivalent experience.
- Strong programming skills in Python or at least one systems language such as Go, Rust, or C/C++.
- Broad knowledge across core security engineering domains, with depth in at least one.
Nice to have
- Shipped LLM- or agent-powered tooling and workflows that automate security or risk activities.
- Built or operated a quantified security risk program whose outputs changed resource decisions.
Pay
$320,000 — $405,000 USD (base salary)
Tools
Python, Go, Rust, C/C++, Claude, Monte Carlo simulation
AI focus
Design AI-native risk tooling using Claude to classify incoming risks, augment triage, and continuously sense changes in the risk landscape.
Model-written summary · the original posting is authoritative