Flag job

Report

Software Engineer, Employee Acceleration Tools

Salary

$0.003k - $0.00405k

Min Experience

3 years

Location

remote, San Francisco, CA, New York City, NY

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

Anthropic is looking for an empathetic engineer to build internal tools to enable and increase productivity for our employees, including scenarios for fraud, trust & safety, sales, and support teams. You'll collaborate closely with internal users to understand needs and create efficient solutions, often incorporating Claude for a greater experience and impact. On Employee Acceleration Tools, we are passionate about delighting and enabling our users through thoughtful and easy-to-use everyday solutions. Responsibilities: Rapidly prototype and build internal tools for a variety of functions Develop custom internal tools and integrations where needed for more complex workflows Consult with different teams to deeply understand their workflows and identify opportunities for automation Maintain and iterate on tools based on user feedback to continually improve utility Monitor tool reliability and be available to troubleshoot issues Advocate for interfaces, APIs, and UX designed for usability You may be a good fit if you: 3-10+ years building production full-stack software with a focus on usability Strong communication skills and user empathy to understand needs Proficiency with modern web development stacks Experience with cloud technologies Demonstrated a focus on reliability and iterative improvement Strong candidates may also: Experience building internal tools A background in fraud, security, or related internal workflows Knowledge of security and privacy best practices Experience balancing trade-offs while maintaining security, privacy, and reliability standards

About the company

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Skills

full-stack
web development
cloud technologies