Lead Learning Experience Designer - U.S. (30 hours/week)

Lead Learning Experience Designer role at General Assembly, a flexible 2 or 3 month contractor position requiring 30 hours per week when on a project. The role is 100% remote and is responsible for designing, developing, and contextualizing high-quality GA learning programs for enterprise, technical, and professional audiences, with hands-on fluency in AI tools and emerging workplace technologies.

Responsibilities

Serve as Lead Learning Experience Designer for GA programs; Own the complete client-facing design process from discovery through delivery; Partner with sales, product, client success, solutions, and delivery teams to translate client and learner needs into learning solutions; Evaluate tools, workflows, and workplace contexts and determine how they should be represented in learning experiences; Design and develop practical, instructor-led learning experiences; Create 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, contextualize, and update content to reflect industry trends and best practices; Design structured learning pathways across levels of proficiency; Develop instructor enablement materials and provide guidance to instructors; Collect and analyze data on learning impact for continuous improvement; Work with translation vendors and localization partners where applicable; Lead productization workflows to standardize reusable GA learning components; Project manage and onboard all resources required for program development, including SMEs, instructional designers, assessment specialists, instructors, vendors, contractors, and freelancers

Requirements

5+ years of experience in instructional design, learning experience design, curriculum design, or a related field; Significant experience creating instructor-led training content; Demonstrated ability to design high-quality learning experiences for enterprise, professional, technical, or workplace audiences; Strong 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 instructional design methodologies, including Bloom's Taxonomy, ADDIE, experiential learning, practice-based learning, and adult learning principles; Ability to design for both technical and non-technical audiences; Hands-on fluency with current AI tools and the ability to use them to design, prototype, evaluate, and improve learning experiences; Demonstrated experience designing learning experiences related to AI, emerging technology, data, digital transformation, technical skills, or workplace technology adoption; Strong working knowledge of AI concepts, including generative AI, large language models, prompt engineering, machine learning, AI agents, ethical AI, responsible use, and enterprise AI adoption; Experience designing practical, hands-on learning activities that may include AI tools, labs, case studies, simulations, workflow exercises, or tool-based practice; Experience collaborating with subject matter experts to translate complex concepts into structured, engaging, and accessible learning experiences; Familiarity with LMS platforms, content management systems, and authoring tools; Willingness to flex your schedule to join meetings across time zones, particularly in the United States, Europe, the Middle East, and Asia; Thrives in fast-paced, dynamic environments; Passionate about helping diverse learners build practical, future-facing skills

Nice to have

Technical proficiency in AI, data science, or coding, including Python, APIs, TensorFlow, PyTorch, or similar frameworks; Experience using GitHub or other technical collaboration tools; Experience designing AI training labs, coding exercises, model-building workshops, or real-world AI case studies; Familiarity with virtual machines, cloud-based labs, sandbox environments, or technical learning environments; Experience integrating AI-driven personalization, adaptive learning, or AI-supported learner practice into course design; Experience designing enterprise AI adoption programs, leadership AI programs, role-based AI academies, technical academies, digital transformation programs, or role-based learning journeys; Experience creating learning experiences for tools such as ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, NotebookLM, Midjourney, or similar platforms