Anthropic Staff+ Security Engineer at Anthropic leads complex security risk problems and builds AI-native risk management systems. The role involves driving risk treatment, mentoring, and shaping security program architecture.
Responsibilities
The Security Risk team is responsible for how Anthropic identifies, prioritizes, and drives treatment of its most important security risks. We are rebuilding risk management to operate as an engineering function through automation and AI-native platforms to enable decision making. The systems we assess span Anthropic’s full security landscape, from authorization primitives to cryptographic foundations, so the team needs breadth across domains and the ability to go deep in any of them. Security Risk, in deep partnership with Security Engineering, will help define the security program to shape how both engineers and non-engineers build and ship software.
The conventional GRC playbook was not built for a company shipping frontier AI. You will help define what replaces it, with a direct line to CISO-level decisions and the mandate to build the AI-native platform underneath. 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. This is largely greenfield work, and you will help define the architecture and discipline.
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
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
Qualification
Calibrated risk judgmentOutstanding communication skillsLow ego and high empathyBuilt security automationA security engineeringEnough familiarity with SOC 2
Required
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 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
Calibrated risk judgment, meaning you can put a defensible severity and likelihood on an ambiguous problem and change your position when the 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
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
The annual compensation range for this role is listed below.
