Software Engineer, Education

About the role

Anthropic is seeking a Software Engineer to help build the technical foundation for how Anthropic educates customers and enterprises at scale, and to shape what that even means when AI is the delivery mechanism, not just the subject being taught.

Your work will define how millions of people experience learning about Claude: how content is served and adapted in real time, how assessments respond to what a learner actually understands, how credentialing systems verify genuine competence rather than course completion, and how the entire platform evolves as fast as the product it teaches.

Responsibilities

• Architect and own Anthropic’s enterprise ready education platform and infrastructure — authentication/SSO, learner data models, content delivery, credentialing, and progress tracking — designed for scale, AI-forward features, and reliability from day one
• Own the technical vision for how Anthropic delivers AI-driven educational experiences and shaping what's possible, not just building what's requested
• Build AI-augmented pipelines for content generation, real-time adaptation, assessment delivery, and quality assurance — working closely with the education team to understand what these systems need to do pedagogically
• Design platform capabilities that enable genuinely new kinds of empowering learning experiences — adaptive paths, competency-based progression, AI-evaluated demonstrations of skill
• Interface with Anthropic's security, infrastructure, and data teams to ensure education systems meet organizational standards and integrate cleanly with existing architecture
• Build platform abstractions that let non-engineers on the team configure, extend, and experiment with educational experiences without engineering bottlenecks
• Make product-level decisions about how the platform works

Requirements

• 7+ years of software engineering experience, with demonstrated ability to take a platform from zero to production at scale
• Genuine passion for education and educational technology
• Strong eye for quality educational content, with a sense of the complex systems that produce it
• Full-stack engineering skills with particular strength in backend systems: databases, APIs, authentication, reliability, and infrastructure
• Experience building and operating platforms that serve many concurrent users reliably
• Comfort with ambiguity and ownership: translating pedagogical intent into technical architecture without heavy specification
• Experience interfacing with security and infrastructure teams
• Working practice of using AI tools in engineering workflows

Bonus Qualifications

• Experience building or significantly contributing to learning platforms, credentialing systems, or educational technology products
• Background in or exposure to learning science, instructional design, or educational research
• Experience with SSO/identity (SAML, OAuth), badging standards (Open Badges), or LTI integrations
• Familiarity with building systems that incorporate LLM capabilities as core infrastructure
• Prior work at a high-growth company building platform infrastructure that other teams depended on
• Experience designing systems that non-technical users configure and operate