Staff Software Engineer, Education

Anthropic is seeking a Senior Software Engineer to build the technical foundation for AI-native education at scale. You will own the technical vision for the AI-driven educational experience, including the platform layer, enterprise readiness features, data architecture, AI-augmented pipelines, integrations, and delivery systems. You will work with a small team of educators to deliver educational experiences with the reach of a much larger organization.

• Architect and own the enterprise-ready education platform, including authentication/SSO, learner data models, content delivery, credentialing, and progress tracking.
• Build AI-augmented pipelines for content generation, real-time adaptation, assessment delivery, and quality assurance.
• Design platform capabilities for adaptive paths, competency-based progression, and AI-evaluated demonstrations of skill.
• Interface with security, infrastructure, and data teams to meet organizational standards.
• Build platform abstractions that let non-engineers configure and experiment with educational experiences.

• 7+ years of software engineering experience, with demonstrated ability to take a platform from zero to production at scale.
• 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.
• Working practice of using AI tools in engineering workflows.

• Experience with learning platforms, credentialing systems, or educational technology products.
• Background in 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.

Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.