Anthropic
Staff+ Software Engineer, Safeguards Human Review Tooling
$320K–$485K
New York City, NY +2 · Staff · Full-time · Posted Jul 13, 2026
- Location
- New York City, NY
San Francisco, CA
San Francisco, California, United States - Experience
- Minimum years correlate with internal job-level requirements; preferred qualification is 8+ years of industry software engineering experience.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field of study demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; if an offer is made, Anthropic will make every reasonable effort to obtain a visa.
About the job
Build and operate human-review investigation and enforcement tools and the platform that supports them, including workflows increasingly assisted by Claude.
What you'll do
- Build investigation, review, and enforcement tools for first- and third-party platforms, including case queues, audit logging, and account actions.
- Develop reusable backend services and deploy the tooling across multiple clouds, including partner environments where data must stay in place.
- Automate and measure review workflows, partnering with stakeholders to improve handling time and decision quality.
What they ask for
- Technical background in full-stack or platform engineering, with ability to engage deeply in architecture and design.
- Experience shipping internal tools or platforms for operational users and measurably improving their workflows.
- Experience working cross-functionally with non-engineering partners such as operations, policy, or legal.
- Strong communication skills, including explaining technical tradeoffs to non-technical stakeholders.
Nice to have
- 8+ years of industry software engineering experience.
- Experience with human-review tooling, sensitive or regulated data systems, or multiple cloud providers.
Pay
$320,000 — $485,000 USD (base salary)
Tools
Claude
AI focus
Enable reviewers to use Claude and build toward Claude-assisted and Claude-driven review workflows; feed review signals back into model training and safety classifiers.
Model-written summary · the original posting is authoritative