Engineering Manager, Cloud Security

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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About The Team

At Anthropic, the Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do.

What You'll Do

We are hiring an Engineering Manager, Cloud Security to lead our Cloud Security team, whose remit is to build and maintain secure foundations for our AI systems. This role focuses on cloud infrastructure and platform services, with particular emphasis on data protection, intuitive access controls, and enabling secure-by-default patterns across our multi-cloud environments.

In This Role You Will

• Lead and grow a security engineering team while maintaining deep technical involvement in cloud security architecture across multi-cloud environments
• Design and implement comprehensive security controls for model weights, customer data, and training datasets
• Build secure-by-default infrastructure to create self-service patterns that prevent misconfigurations while enabling engineering velocity
• Establish continuous attack surface monitoring and automated remediation systems using cloud security posture management tools, custom detection capabilities, and infrastructure-as-code security scanning
• Partner with product, research, and infrastructure teams to embed security requirements into system design and development workflows from inception through deployment
• Identify and assess systematic risks across the organization, translating complex security requirements into prioritized roadmaps and actionable engineering work
• Develop security and reliability metrics and observability systems that measure risk posture, demonstrate security improvements, and inform data-driven security investments
• Coach and mentor engineers while building a team culture that balances security rigor with development velocity and innovation

Who You Are

• 4+ years managing security infrastructure engineering teams in a fast paced growth environment with a proven track record of team productivity
• A background including 4+ years hands-on experience in software engineering and Infrastructure security
• Deep expertise in securing complex multi-cloud environments, threat modeling, risk assessment and distributed systems engineering
• Strong cross-functional collaboration skills, balancing security requirements with business objectives
• Clear and persuasive communicator in both writing and verbal settings
• Low ego, high empathy leader who attracts talent and builds diverse, inclusive teams
• Passionate about developing engineers' careers in a supportive yet challenging environment
• Experience working cross functionally with technical internal customers
• Familiarity with AI safety concepts and frameworks

How We're Different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Key skills/competency

• Cloud Security
• Multi-cloud Environments
• Infrastructure Security
• Data Protection
• Access Control
• Threat Modeling
• Risk Assessment
• Security Architecture
• Continuous Monitoring
• DevSecOps