Staff+ Security Engineer, Risk Engineering

Details

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.

About the role

The Security Risk team is responsible for how Anthropic identifies, prioritizes, and drives treatment of its most important security risks. The team is rebuilding risk management to operate as an engineering function through automation and AI-native platforms to enable decision making.

You will help define what replaces the conventional GRC playbook for a company shipping frontier AI. You’ll work across a breadth of areas from identity and secrets management to infrastructure security, with your focus shaped by your strengths, ability to learn quickly, and the team’s priorities.

Key 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 work.

Security risk engineering

• Work across the breadth of Anthropic’s security landscape, spanning areas like identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks, and build the context needed to reason about risk credibly in each.
• Go deep where a risk demands it, understanding how these systems are built and how they fail so that assessments and treatment plans reflect engineering reality rather than abstraction.

Risk assessment and quantification

• Identify systematic risks through threat modeling and structured assessment, then drive the severity calibration and escalation conversations that follow, bringing leadership a defensible position and a clear recommendation that holds up under pointed questions.
• Contribute to the team’s quantitative risk work, applying methods such as calibrated estimation and Monte Carlo simulation where they meaningfully change a resource or treatment decision.

Risk platform and automation

• Design and build AI-native risk tooling that uses Claude to classify incoming risks, augment triage, and continuously sense changes in our risk landscape as teams ship.
• Create the dashboards and data pipelines that give engineering and product teams real-time visibility into their risk posture and make distributed ownership of risk practical.

Remediation strategy and investment

• Partner with Security Engineering and risk owners to design remediation roadmaps that are explicit about sequencing, ownership, and the investment required.
• Measure outcomes rather than activity, focusing on decisions made and risk reduced.

Minimum 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, including:
  • identity and secrets management
  • developer security and supply chain
  • infrastructure and cloud security
  • secure frameworks
• Calibrated risk judgment (ability to assign defensible severity and likelihood on ambiguous problems and change position as evidence changes).
• Experience leading cross-functional security initiatives and navigating complex organizational dynamics.
• 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.
• Low ego and high empathy, with a history of growing the engineers around you and supporting diverse, inclusive teams.
• Passion for AI safety and the role security and risk management play in building trustworthy AI systems.

Preferred qualifications

• 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.

Logistics

• Location-based hybrid policy: currently, staff are expected to be in one of the offices at least 25% of the time (some roles may require more time in offices).
• Visa sponsorship: the company does sponsor visas, and if they make an offer they will make every reasonable effort to get you a visa (with an immigration lawyer to help).