Anthropic seeks a Senior Full Stack Engineer to build the technical foundation for AI-driven educational experiences at scale. The role involves owning the enterprise-ready education platform, designing AI‑augmented pipelines for content generation and assessment, and collaborating with security, infrastructure, and data teams to deliver reliable, scalable solutions.
Staff Software Engineer, Education en Anthropic
Presencial - San Francisco, CA | New York City, NY
Más vacantes en AnthropicSalary
USD 320,000 - 405,000
Requirements
Skills
- 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
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. 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
Technologies
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