Staff Software Engineer, Education

The shape of it

In the posting’s own words

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. You'll build the infrastructure that makes AI-native education real — not as a concept, but as a working system that people interact with every day.

What it asks for · 8

• 7+ years of software engineering experience, with demonstrated ability to take a platform from zero to production at scale
• Genuine passion for education — you think about how people learn, you have opinions about what educational technology should look like in an AI-native world, and you want to build it
• A 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: you'll need to translate pedagogical intent into technical architecture without heavy specification
• Experience interfacing with security and infrastructure teams to meet organizational requirements while maintaining development velocity
• A working practice of using AI tools in your own engineering workflows — and genuine curiosity about how AI fundamentally changes what educational platforms can be

Also a plus

• 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 where you built platform infrastructure that other teams depended on
• Experience designing systems that non-technical users configure and operate

What the job covers

• 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. You’ll determine what to build, what to extend, and what to replace as needs evolve
• 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 — not just digital versions of traditional courses
• 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 — you're shaping what the learning experience is, not just serving it

Tools and skills named

Words the posting leans on

• experience23×
• platform22×
• educational18×
• systems17×
• infrastructure14×
• build11×
• education11×
• engineering9×
• learning9×
• building8×
• technical8×
• content7×
• data6×
• delivery6×
• scale6×
• architecture5×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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