
Staff+ Software Engineer, Developer Productivity
About this role
Role Overview
The Staff+ Software Engineer, Developer Productivity position at Anthropic is a senior technical role focused on building and optimizing the engineering infrastructure that supports safe and reliable AI development. Based in San Francisco, CA, New York City, NY, or Seattle, WA, this position suits experienced engineers passionate about scaling developer workflows and system architecture.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Anthropic is a public benefit corporation dedicated to creating reliable, interpretable, and steerable artificial intelligence systems that benefit society. Operating as a single collaborative team, the organization approaches AI research as an empirical science akin to physics and biology. Employees work on large-scale research initiatives designed to advance trustworthy AI capabilities while maintaining rigorous safety standards.
How to Apply
Interested candidates should submit their application directly through the official Anthropic careers page. Applications are reviewed on a rolling basis.
Skills and tech stack
Questions candidates ask
What locations are available for this role?
The position is available in San Francisco, CA, New York City, NY, or Seattle, WA, operating under a location-based hybrid policy requiring staff to be in the office at least 25% of the time.
What is the salary range for the Staff+ Software Engineer position?
The annual salary range is $405,000 to $625,000 USD.
How many years of experience are required?
Candidates must have 15+ years of software engineering experience in building and operating large-scale developer infrastructure, plus 3+ years of experience leading complex projects or teams as a tech lead.
Does Anthropic offer visa sponsorship for this role?
Yes, Anthropic sponsors visas and retains an immigration lawyer to assist candidates who receive an offer.
What programming languages are required or preferred?
Candidates need strong proficiency in Python, Rust, and/or Go.