Lead Learning Experience Designer creating practical AI-enabled workforce training for General Assembly. Designing instructor-led programs, applied activities, and scalable learning products for enterprise and professional audiences.
Responsibilities
Design, develop, and contextualize high-quality GA learning programs for enterprise, technical, and professional audiences
Create practical, outcome-driven learning experiences for workplace application
Translate AI tool fluency into applied activities, labs, simulations, facilitator guides, assessments, and client-specific adaptations
Project manage and collaborate with subject matter experts, instructors, product managers, learning designers, assessment specialists, vendors, and client-facing teams
Own the client-facing design process from requirements gathering and learning outcomes through delivery
Partner with sales, product, client success, solutions, and delivery teams to identify client and learner needs
Support pre-sales and client conversations by defining skill needs, learner personas, program objectives, audience readiness, and learning pathways
Design instructor-led training materials, including slides, hands-on labs, case studies, simulations, assessments, facilitator guides, learner workbooks, and workplace exercises
Design hands-on activities using current workplace and AI tools
Curate and update content for industry trends, tool capabilities, best practices, accessibility, and responsible use
Develop interactive exercises such as tool walkthroughs, prompt refinement activities, workflow mapping, ethical decision-making scenarios, coding challenges, technical labs, and business simulations
Develop instructor enablement materials and guide instructors in applied, interactive learning delivery
Tailor programs for enterprise clients, startups, government organizations, technical teams, business leaders, and cross-functional employee populations
Collect and analyze learning-impact data for continuous improvement
Work with translation vendors and localization partners where applicable
Standardize reusable learning patterns, components, activities, templates, and program structures
Build a scalable library of reusable GA learning components
Identify custom materials that can become reusable product components
Identify emerging client needs, market shifts, tool trends, and opportunities for new or improved learning products
Requirements
5+ years of experience in instructional design, learning experience design, curriculum design, or a related field
Significant experience creating instructor-led training content
Ability to design high-quality learning experiences for enterprise, professional, technical, or workplace audiences
Experience creating practical, outcome-driven learning materials, including slides, facilitator guides, activities, assessments, case studies, labs, simulations, and learner resources
Experience managing clients, stakeholders, SMEs, instructors, vendors, or cross-functional partners through a content development process
Strong understanding of Bloom’s Taxonomy, ADDIE, experiential learning, practice-based learning, and adult learning principles
Ability to design for technical and non-technical audiences
Hands-on fluency with current AI tools
Experience designing learning experiences related to AI, emerging technology, data, digital transformation, technical skills, or workplace technology adoption
Strong working knowledge of generative AI, large language models, prompt engineering, machine learning, AI agents, ethical AI, responsible use, and enterprise AI adoption
Experience collaborating with subject matter experts
Familiarity with LMS platforms, content management systems, and authoring tools
Willingness to flex schedule for meetings across time zones, particularly the United States, Europe, Middle East, and Asia
Technical proficiency in AI, data science, or coding, including Python, APIs, TensorFlow, or PyTorch (nice to have)
Experience using GitHub or other technical collaboration tools (nice to have)
Experience with AI training labs, coding exercises, model-building workshops, or real-world AI case studies (nice to have)
Familiarity with virtual machines, cloud-based labs, sandbox environments, or technical learning environments (nice to have)
Experience with AI-driven personalization, adaptive learning, or AI-supported learner practice (nice to have)
Experience designing enterprise AI adoption programs, leadership AI programs, technical academies, digital transformation programs, or role-based learning journeys (nice to have)
Experience creating learning experiences for ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, NotebookLM, Midjourney, or similar platforms (nice to have)
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