Staff Software Engineer, Education na Anthropic

Presencial - San Francisco, CA | New York City, NY

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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.

Salary

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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