anthropic

Staff+ Security Engineer, Risk Engineering

Apply Now

At a Glance

Location
San Francisco, CA | New York City, NY | Seattle, Washington, United States
Experience
8+ years
Posted
2026-06-10T19:15:55-04:00

Key Requirements

Required Skills

PythonRust

Certifications

  • ISO

Domain Knowledge

  • Automation
  • Banking
  • Education
  • Engineering
  • Logistics
  • Regulatory
  • Supply Chain

Requirements

At least 8 years of software engineering or security engineering experience, including leading and remediating complex security risks independently

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

Experience leading cross-functional security initiatives and navigating complex organizational dynamics

A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution

Passion for AI safety and the role security and risk management play in building trustworthy AI systems

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.