Staff Software Engineer, Public Sector

🕒 June 5

🏢🏡 San Francisco – Hybrid

💵 $405k - $485k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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Anthropic

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Anthropic is an AI safety and research company based in San Francisco. The company focuses on developing research and creating reliable, beneficial AI systems. It offers products such as the Claude AI model, designed to be safe and efficient for enterprise use, and provides tools like the Claude API to help drive efficiency and create new revenue streams for businesses. Anthropic places a strong emphasis on AI safety, aligning its work with principles of harmlessness and ethical AI deployment.

📋 Description

• Architect and ship deployments that meet public sector compliance and security requirements, from FedRAMP to classified networks • Build AI applications tailored to government workflows by developing deep understanding of how agencies actually operate • Partner with research and safeguards teams to evaluate and improve Claude for government use cases • Work directly with government customers and internal go-to-market teams to turn requirements into technical and product roadmaps • Design scalable systems for deployment, user management, and administrative controls across constrained environments • Create clarity and technical direction in a fast-moving environment with unique constraints

🎯 Requirements

• Experience building AI products and a working intuition for their capabilities and limitations • A strong technical track record building and shipping enterprise- or government-grade products • Excellent cross-functional collaboration skills — you’ll partner with sales, legal, research, and policy teams alike

🏖️ Benefits

• Competitive compensation • Optional equity donation matching • Generous vacation and parental leave • Flexible working hours • Lovely office space for collaboration