AI-Driven Enablement / Full-Time / US Offices
Anthropic is seeking a Certification Content and Systems Architect to design and build the educational content and assessment components that power Anthropic's credentialing efforts. You'll own the substance of what certifications teach and measure: curriculum architecture, assessment design, competency frameworks, and the AI-native systems that let one educator maintain and evolve certification content across multiple programs simultaneously.
You'll work closely with go-to-market and partnerships teams who define what certifications are needed and for whom. You own the educational design: what people need to know, how we assess whether they know it, and how we build those learning and assessment experiences to scale through intelligent tooling rather than growing headcount. The broader program strategy — audience planning, pricing, partner relationships — lives with other teams; you're the person who makes the education rigorous, current, and scalable.
We're looking for someone who thinks about assessment from first principles — someone skeptical of multiple-choice exams as the default and excited about what becomes possible when AI can evaluate demonstrations of competence, generate adaptive assessments, and maintain item banks that evolve with the product. You should be as comfortable building the tooling and workflows around certification as you are designing the educational content itself.
Responsibilities:
Design certification curriculum architectures, assessment methodologies, and competency frameworks for product and technical knowledge
Build AI-augmented assessment systems — item generation, adaptive testing, competency evaluation — that maintain rigor while scaling without proportional human effort
Define competency levels, learning progressions, and assessment rubrics for different certification tiers as defined by program stakeholders
Create and maintain the educational content that feeds into certification programs, working with the Train-the-Trainer Lead to ensure alignment between training delivery and credentialing requirements
Develop and maintain item banks, assessment instruments, and evaluation rubrics — and build AI-assisted processes for keeping these current as Claude's capabilities evolve
Collaborate with GTM, Partnerships, and Customer Success when they identify certification needs — receiving their requirements around audience and business context, then owning the educational design and delivery
Establish quality standards for certification assessments including validity, reliability, and fairness
Analyze assessment data to continuously improve the learning experience and identify gaps in educational content
Build operational tooling for certification administration, verification, and renewal on the educational side
You may be a good fit if you have:
5+ years in education, assessment design, credentialing, or developer education — with demonstrated experience designing how competence is measured, not just how content is delivered
A working practice of using AI tools as core infrastructure in your workflows — you naturally build AI into your processes for content generation, assessment creation, quality checking, and operational tasks
Technical fluency with Claude's products including the API, Claude Code, and Claude.ai — sufficient to design meaningful assessments of real competence with these tools
Experience with assessment methodologies beyond multiple-choice: performance-based assessment, portfolio evaluation, adaptive testing, or other approaches that measure applied skill
Strong educational design instincts — you think in terms of learning progressions, competency frameworks, and what it actually means to "know" something versus having been exposed to it
Comfort operating in ambiguous, fast-moving environments and building from scratch — particularly building systems designed to run lean through intelligent automation
Clear, structured communication and the ability to work with non-education stakeholders (sales, partnerships) while maintaining an educator's standards
Strong candidates may also have:
Experience building AI-augmented assessment systems or using LLMs for item generation, evaluation, or adaptive learning
Knowledge of psychometrics, credential validation, or assessment quality frameworks
Experience with non-traditional methods for tracking and assessing understanding
Background in developer education or technical credentialing specifically
Familiarity with LMS platforms or certification delivery systems
Prior work at a high-growth technology company navigating rapid product change
