About the company
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
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
Requirements
- 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
Conditions
- Annual compensation range: $320,000 — $405,000 USD
- Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
- Required field of study: A field relevant to the role as demonstrated