Engineering Manager, Cloud Safety

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The team is composed of researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

You will lead the Cloud Safety team responsible for scaling and optimizing Claude for developers and enterprise customers using Cloud Service Providers (CSPs). You will own safety end-to-end for these services, including API, inference, classifiers, fraud detection, data management, and operations. The team ensures Claude is used safely across CSPs and enables Anthropic to scale and launch new frontier models and features reliably.

Responsibilities

• Set technical strategy and oversee development of safety features across all Claude CSP surfaces
• Collaborate across teams and companies to understand product, infrastructure, operations, and capacity needs; identify solutions to support frontier LLM serving
• Work closely with cross-functional stakeholders to align on goals and drive outcomes
• Create clarity for the team and stakeholders in an ambiguous and evolving environment
• Hire, coach, and retain top technical talent; support a high-performing, inclusive team culture
• Design and run processes such as postmortem review, incident response, and on-call rotations to improve operational reliability

Minimum qualifications

• 8+ years of experience in high-scale, high-reliability software development (particularly infrastructure or capacity management)
• 3+ years of engineering management experience
• Experience recruiting, scaling, and retaining engineering talent in high-growth environments
• Experience scaling products, resources, and operations to accommodate rapid growth
• Deep interest in the transformative effects of advanced AI systems and commitment to their safe development
• Strong skills building relationships and strategy with stakeholders across engineering, product, finance, and policy
• Experience working with external partners to align goals and deliver impact
• Comfortable working in a fast-paced, early-stage environment and adapting priorities quickly
• Excellent written and verbal communication skills
• Demonstrated success building a culture of belonging and engineering excellence
• Willingness and ability to travel frequently between Seattle and the San Francisco Bay Area

Preferred qualifications

• Experience with identity and access controls (KYC/KYB, verification flows, tiered access)
• Experience detecting and mitigating platform abuse at scale (account fraud, bot traffic, model extraction)
• Experience with trust & safety, security, and/or legal/compliance
• Experience or interest in machine learning infrastructure (GPUs, TPUs, Trainium) and supporting networking infrastructure like NCCL
• Experience with deployment and capacity management automation

Compensation

Annual Salary: $405,000 - $485,000 USD

Logistics

• Locations listed: San Francisco, CA and Seattle, WA
• Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience
• Location-based hybrid policy: staff expected to be in an office at least 25% of the time (some roles may require more)
• Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer; sponsorship is not guaranteed for every role/candidate
• The role expects frequent travel between Seattle and the San Francisco Bay Area

How we're different

Anthropic emphasizes large-scale, collaborative AI research with a focus on impact (steerable, trustworthy AI). The organization values communication, cross-team collaboration, and working on a few large-scale research efforts.

Come work with us

Anthropic is a public benefit corporation headquartered in San Francisco. They offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office space for collaboration. They provide candidate guidance for AI use in the application process.