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.

We are hiring an Engineering Manager 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 a security engineering team while maintaining deep technical involvement in cloud security architecture across all 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

• 4+ years managing security engineering teams with proven track record of team productivity
• 5+ years hands-on infrastructure security and software engineering experience
• Deep expertise in securing complex cloud environments, threat modeling, and risk assessment
• 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 with technical internal customers
• Familiarity with AI safety concepts and frameworks

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

The expected salary range for this position is:

Annual Salary:

$320,000 - $405,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

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.

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process