Nuvepro - Task Intelligence for the Enterprise
Anthropic· AI Research & Engineering· San Francisco, CA

Senior Full Stack Engineer, Education

Classified Tasks (26)

Automate 0%Augment 58%Human-Only 42%

Augment (15)

AI assists, human decides

Implement and maintain authentication/SSO systems for the education platform.

technical

Design and maintain learner data models.

technical

Build and operate content delivery systems.

technical

Build and operate progress-tracking systems.

technical

Design platform features for scale, AI-forward functionality, and reliability from day one.

technical

Build AI-augmented pipelines for content generation.

technical

Build AI-augmented pipelines for real-time content adaptation.

technical

Build AI-augmented pipelines for assessment delivery.

technical

Build AI-augmented pipelines for quality assurance.

technical

Design platform capabilities that enable adaptive learning paths.

technical

Design platform capabilities that enable competency-based progression.

technical

Design platform capabilities that enable AI-evaluated demonstrations of skill.

technical

Build platform abstractions that let non-engineers configure, extend, and experiment with educational experiences.

technical

Build infrastructure that enables AI-native education for daily user interaction.

technical

Define how content is served and adapted in real time to learners.

technical

Human-Only (11)

Requires human judgment

Architect and own the enterprise-ready education platform and infrastructure.

technical

Design and implement credentialing systems that verify genuine competence.

technical

Own the technical vision for AI-driven educational experiences and set technical direction.

leadership

Determine what to build, extend, and replace as needs evolve.

leadership

Make product-level decisions about how the platform works and shapes the learning experience.

leadership

Work closely with the education team to translate pedagogical requirements into technical systems.

communication

Interface with security, infrastructure, and data teams to ensure systems meet organizational standards and integrate with existing architecture.

communication

Collaborate with technical educational collaborators to execute the technical vision for delivering educational experiences at scale.

communication

Define how assessments respond to and measure a learner's actual understanding.

analytical

Ensure the platform evolves in pace with the product it teaches.

operational

Partner with trainers and stakeholders on GTM, devrel, and education teams to align platform development with stakeholder needs.

communication

Job description

About Anthropic 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. About the role Anthropic is seeking a Senior Full Stack Engineer to help build the technical foundation for how Anthropic educates customers and enterprises at scale, and to shape what that even means when AI is the delivery mechanism, not just the subject being taught. 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. You’ll own the technical vision for our AI-driven educational experience: the platform layer, enterprise readiness features, the data architecture, the AI-augmented pipelines, the integrations, and the delivery systems. You'll work with a handful of highly technical educational collaborators to own the technical vision and execution for how Anthropic’s education team delivers educational experiences at scale, and you'll build the AI-augmented pipelines and platform capabilities that let a small team of educators operate with reach and responsiveness that would otherwise require an organization ten times larger. This is an engineering role for someone who genuinely cares about how people learn. You'll make platform decisions that are deeply educational, and you need the judgment to make those decisions well, not just implement someone else's spec. You'll interface closely with Anthropic's security, infrastructure, and data teams, and you'll partner with trainers and educators on the GTM, devrel, and education teams who will be your primary stakeholders. 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 You may be a good fit if you have 7+ years of software engineering experience, with demons
Source: Anthropic careers · scraped 2026-05-22
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