Sr. Certification Development Program Manager (AI)

Location: Menlo Park, California, United States

Salary: $144,000–$189,000 per year

Company

A provider of the AI Data Cloud platform and related enterprise data technologies.

What you will do

• Design, develop, and deploy lab-based practical assessments, micro-credentials, performance-based tasks, and rubric-based evaluations.
• Recruit, train, and facilitate global subject matter expert workshops covering job task analyses, item writing, technical reviews, and standard setting.
• Author, review, and validate advanced scenario-based exam questions aligned with platform updates, AI/ML features, and architectural best practices.
• Manage medium-to-large-scale certification development projects and simultaneous exam releases from concept through launch.
• Collaborate with psychometricians and delivery vendors to monitor item performance, manage item banks, ensure QTI compliance, and maintain exam security.
• Oversee localization, publishing, maintenance, study guides, practice exams, web content, and launch materials.

Requirements

• 6+ years of experience in technical content development, certification design, assessment engineering, or IT/technical training in enterprise software environments.
• 2+ years of hands-on experience designing and building technical labs, practical assessments, or hands-on environments across enterprise cloud or data platforms.
• Experience leading complex, multi-stakeholder technical projects from concept to launch using project management tools and frameworks.
• Bachelor’s degree in Information Systems, Data Engineering, Education, Statistics, or equivalent practical experience.
• Ability to translate complex cloud architecture patterns into clear assessment objectives and concise editorial content.

Nice to have

• SnowPro Core or SnowPro Advanced certification.
• Hands-on experience with the AI Data Cloud, including SQL and/or Python.
• Experience with item banking platforms such as Pearson ExamDeveloper and QTI standards.
• Experience with LLMs, AI/ML workflows, and building agents.

Culture & Benefits

• Work in a fast-paced, experimental environment focused on redefining how work gets done with AI.
• Collaborate across Engineering, Product Marketing, Technical Documentation, psychometrics, and external delivery vendors.
• Support a global certification program for technical experts and enablement audiences.