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Staff Security Engineer, Risk Engineering

Anthropic· Security
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Hybrid (San Francisco, CA), Hybrid (New York City, NY), Hybrid (Seattle, WA)$320k - $405kfull-timePosted 4mo ago

About the role

Security Risk team at Anthropic focuses on identifying, prioritizing, and driving remediation of security risks across the organization, operating as an engineering-driven, AI-native platform to enable decision making and scalable risk management.

Responsibilities

  • 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 and seeing them through escalation, treatment decisions, and remediation
  • 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, what to accept and track, and what to defer
  • Mentor engineers and risk practitioners across Security and the broader engineering organization, and help build a risk engineering culture in which teams own their risks and our team provides the visibility and judgment that supports the Security risk engineering
  • Go across breadth of Anthropic’s security landscape (identity and secrets management, developer security and supply chain, infrastructure security, secure frameworks), and go deep where needed to reflect engineering reality in assessments
  • Identify systematic risks through threat modeling and structured assessment, drive severity calibration and escalation conversations, and provide defensible recommendations
  • Contribute to quantitative risk work (calibrated estimation, Monte Carlo simulations) where they meaningfully affect decisions
  • Design and build AI-native risk tooling using Claude to classify risks, augment triage, and sense changes in the risk landscape as teams ship
  • Create dashboards and data pipelines for real-time visibility into risk posture for engineering and product teams
  • Partner with Security Engineering and risk owners to design remediation roadmaps with clear sequencing, ownership, and required investment
  • Measure outcomes by focusing on decisions and risk reduction rather than activity

Qualifications

  • At least 8 years of software engineering or security engineering experience, including leading and remediating complex security risks independently
  • 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 (identity and secrets management, developer security and supply chain, infrastructure and cloud security, secure frameworks)
  • Calibrated risk judgment to assign defensible severity and likelihood
  • Experience leading cross-functional security initiatives and navigating complex organizational dynamics
  • Outstanding communication skills translating technical concepts across all levels of the organization
  • Track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution
  • Low ego and high empathy with a history of growing engineers and supporting diverse, inclusive teams
  • Passion for AI safety and security/risk management in building trustworthy AI systems

Skills

Required:software engineeringPythonsystems languagesthreat modelingrisk communicationleadership
Nice to have:quantitative risk

Benefits

  • Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office space
Last updated Sep 30, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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