Staff+ Software Engineer, Safeguards Human Review Tooling

The role

You will own the tools safety investigators use to understand and act on platform activity. You will build investigation, review, and enforcement tooling and the underlying platform layer including APIs and backend services.

What you will do

• Build investigation, review, and enforcement tooling for first-party and third-party platform surfaces
• Develop the platform layer of reusable APIs, data storage, and backend services
• Stand up and run deployments of this tooling across multiple clouds
• Scale review through automation and Claude-assisted workflows
• Partner with policy, operations, legal, privacy, and data science stakeholders
• Instrument the tools to surface metrics on queue health, reviewer throughput, and decision quality

Required qualifications

• Technical background in full-stack or platform engineering
• Experience shipping internal tools or platforms with demanding operational users
• Experience working cross-functionally with non-engineering partners
• Excellent communication skills
• Care about the societal impacts of AI
• Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Field of study relevant to the role as demonstrated through coursework, training, or professional experience

Nice to have

• 8+ years of industry software engineering experience
• Experience building data labeling, trust and safety, integrity, fraud, or abuse-prevention tooling
• Have built systems that handle sensitive or regulated data
• Have worked across multiple cloud providers, or built infrastructure designed to be provider-agnostic
• A product-minded approach to internal users

Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Office space

Before you apply

• We do sponsor visas

About the company

Anthropic is a public benefit corporation headquartered in San Francisco. Their mission is to create reliable, interpretable, and steerable AI systems.