Certification Architect
OpenAI · San Francisco
About this role
## About the Team Customer Education helps customers build the practical skills and confidence to use AI and OpenAI products safely and effectively. We combine customer insight, learning and enablement expertise, product signals, and measurement to move organizations from access to durable adoption. Within Customer Education, the Certification team helps individuals demonstrate competence for in-demand AI skills and helps customers and partners validate that their workforce has the skills needed to meet their AI-enabled business goals. Our work is grounded in the belief that learners should know: - where to go to build skills and capabilities, - how to demonstrate them, and - what to pursue next. Similarly, enterprise leaders should understand what each credential signifies and how it supports workforce readiness—through a transparent OpenAI credential framework and trusted, role-based certifications that verify practical capability. --- ## About the Role As **Certification Architect**, you will define the framework, standards, and assessment architecture that make OpenAI certifications a trusted signal of demonstrated capability. This is a senior hands-on role on the Certification team. You’ll build reusable foundations for a growing portfolio, including: - clear competency standards, - defensible assessments, - scalable in-product delivery, and - evidence of continued competence. You’ll work closely with certification specialists, technical subject matter experts, learning product and engineering teams, operations and policy partners, and stakeholders across the go-to-market organization. **Location:** San Francisco, CA (hybrid: 3 days in the office per week). Relocation assistance is available. --- ## What You’ll Do - **Own the credential framework** and shared competency standards, clearly distinguishing completed learning, demonstrated skills, and formal certification—along with capability claims and evidence requirements. - **Establish reusable assessment standards** and guidance for certification pods, including job-task analysis, competency models, assessment blueprints, performance tasks, scoring rubrics, and passing standards. - **Own validation approach and evidence documentation requirements**, partnering with pod leaders to validate proposals for job relevance, representative task coverage, scoring consistency, fairness, and correct interpretation of results. - **Define exam delivery architecture and requirements** across registration, identity verification, monitoring, permitted assistance, evidence capture, scoring, human review, appeals, customer support, and record management (including third parties). - **Define expectations for continued competence validation** after assessments. - **Partner across teams** (learning, operations, policy, legal, privacy, security, accessibility) to align preparation with competencies while protecting assessment integrity and setting appropriate evidence access, retention, accommodations, and review processes. --- ## You Might Thrive If You Have - **10+ years** designing and delivering professional technical IT industry certifications or assessments that support credible claims about what people can do. - Experience leading **performance-based assessments** for AI, software development, technical architecture, or customer-facing implementation roles. - Built **credential frameworks, competency models, or shared assessment standards** that work across multiple roles or program
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