Staff Software Engineer, Education

Anthropic

San Francisco (CA)

On-site

USD 320,000 - 405,000

Full time

8 days ago

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Benefits offered by this job

Competitive compensation

Equity donation matching

Generous vacation and parental leave

Flexible working hours

Office space

Job summary

Anthropic in San Francisco is seeking a Senior Full Stack Engineer to build the technical foundation for scalable AI-driven education experiences. You will own the platform layer, data models, and delivery systems, shaping how millions of learners interact with Claude-based education tools.

You will collaborate with security, infra, and data teams, and partner with educators to ensure the system meets educational goals while maintaining velocity and reliability.

Qualifications

7+ years of software engineering experience with a track record of taking a platform from zero to production at scale.
Strong passion for education and AI-native learning.
Ability to reason about educational content quality and the systems that produce it.
Full-stack capabilities with emphasis on backend systems: databases, APIs, authentication, reliability, and infra.
Experience operating platforms serving many concurrent users reliably.
Comfort with ambiguity and ownership, translating pedagogy into architecture.
Experience interfacing with security and infrastructure teams to meet requirements while preserving velocity.
Experience using AI tools within engineering workflows and curiosity about AI-enabled platforms.

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 and AI-forward features.
Own the technical vision for AI-driven educational experiences and shaping what's possible, not just building what's requested.
Build AI-augmented pipelines for content generation, real-time adaptation, assessment delivery, and quality assurance.
Design platform capabilities for adaptive paths, competency-based progression, and AI-evaluated demonstrations of skill.
Interface with security, infrastructure, and data teams to meet standards and integrate with existing architecture.
Build platform abstractions that let non-engineers configure and experiment with educational experiences.
Make product-level decisions about how the platform works and how learning is delivered.

Skills

Full-stack engineering

Backend systems

APIs

SSO/OAuth

Platform ownership

Education

Bachelor's degree

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 Anthropic

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 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

Strong candidates may also have

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

The annual compensation range for this role is listed below.

Annual Salary

$320,000—$405,000 USD

Logistics

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 through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

Guidance on Candidates' AI Usage

Learn about our policy for using AI in our application process.

Come work with us!