Staff Software Engineer, Enterprise AI Platform

Anthropic Limited; San Francisco (CA); Presencial; USD 405.000 - 485.000; Jornada completa

Descripción de la vacante

Anthropic Limited in San Francisco is seeking an experienced Senior Software Engineer aligned to Enterprise Knowledge Work. You will own end-to-end product design for enterprise-facing AI tools and collaborate with product, design, and sales teams to ship impactful solutions.

Ideal candidates have 8+ years in software engineering, leadership at Staff level, and a track record delivering large-scale AI-enabled customer products across the full stack.

Formación

• Eight or more years of software engineering experience
• Prior leadership at staff or equivalent level preferred
• Experience delivering AI-enabled enterprise products
• Ability to work with enterprise customers and translate learnings into tech decisions
• Experience creating products from 0 to 1 in fast-moving environments
• Ability to drive cross-team alignment to ship impactful work

Responsabilidades

• Own technical design and delivery for enterprise-facing core products
• Partner with product, design, and GTM to ship workflows
• Set technical direction and standards for the team
• Engage with enterprise customers and translate insights into priorities
• Collaborate with research to improve model capabilities and evals
• Mentor engineers and raise the technical bar across the team
• Build core primitives enabling Claude adoption across industries

Conocimientos

8+ years software engineering

Staff-level leadership

Enterprise AI products

Full-stack delivery

Customer-facing product design

Cross-team alignment

Educación

Bachelor’s degree or equivalent

Field of study relevant to role

Descripción del empleo

Anthropic Limited in San Francisco is seeking an experienced Senior Software Engineer aligned to Enterprise Knowledge Work. You will own end-to-end product design for enterprise-facing AI tools and collaborate with product, design, and sales teams to ship impactful solutions.

Ideal candidates have 8+ years in software engineering, leadership at Staff level, and a track record delivering large-scale AI-enabled customer products across the full stack.