Role Description
As a Senior Learning Experience Designer (LED), you will be responsible for designing, developing, and contextualizing high-quality GA learning programs for enterprise, technical, and professional audiences. This role requires strong learning experience design knowledge, excellent program development and project management skills, and hands-on fluency with AI tools and emerging workplace technologies.
You will create practical, outcome-driven learning experiences that help learners build relevant skills and apply them with confidence in real workplace contexts.
Key Responsibilities:
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Program Ownership & Discovery
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Serve as the Lead Learning Experience Designer for GA programs that may include AI, emerging technology, digital transformation, technical skills, leadership, role-based application, or workplace productivity components.
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Own the complete Client-facing Design Process; requirements gathering, learning outcomes, project timelines, scope, resourcing, development plans, and content quality from discovery through delivery.
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Partner with sales, product, client success, solutions, and delivery teams to identify client and learner needs and translate those needs into practical learning solutions.
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Support pre-sales and client conversations by helping define skill needs, learner personas, program objectives, audience readiness, and recommended learning pathways.
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Evaluate the tools, workflows, use cases, and workplace contexts most relevant to a client or learner audience, including AI tools where relevant, and determine how they should be represented in the learning experience.
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Define clear learning outcomes that move learners from awareness to practical application, workflow improvement, productivity gains, behavior change, and responsible technology use.
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Applied Learning Design & AI-Enabled Development
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Design and develop practical, instructor-led learning experiences for learners at varying levels of expertise, including programs where AI tools, workflows, or emerging technologies are central to the learner outcome.
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Create instructor-led training materials, including slides, hands-on labs, case studies, simulations, assessments, facilitator guides, learner workbooks, and practical workplace exercises.
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Build learning experiences that help learners actively apply new skills in realistic workplace contexts, including the use of AI tools and platforms where relevant.
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Design hands-on activities using current workplace and AI tools, such as ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, Midjourney, NotebookLM, or other tools relevant to enterprise learning.
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Translate complex or technical concepts into structured, accessible, and engaging learning experiences in partnership with subject matter experts.
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Curate, contextualize, and update content to reflect emerging industry trends, new tool capabilities, evolving best practices, accessibility expectations, and responsible use considerations.
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Design structured learning pathways across levels of proficiency, including AI literacy, role-based application, technical skill development, workflow redesign, responsible technology use, and advanced concepts where appropriate.
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Develop practical, interactive exercises such as tool walkthroughs, prompt refinement activities, workflow mapping, use case development, ethical decision-making scenarios, productivity tasks, coding challenges, technical labs, or real-world business simulations.
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Ensure learning experiences are grounded in adult learning principles, learning science, accessibility, measurable learner outcomes, and practical transfer to the workplace.
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Follow GAβs design and development standards, best practices, templates, QA processes, and productization expectations for core and customized curriculum.
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Create, execute, and own the quality of project and program development timelines, deliverables, and required resources.
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Onboard and project manage all resources required for program development, including SMEs, other LEDs or instructional designers, assessment specialists, instructors, vendors, contractors, and freelancers.
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Delivery & Instructor Enablement
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Develop instructor enablement materials to support live classroom training delivery, including facilitator guides, run-of-show documents, learner workbooks, real-world case studies, tool setup instructions, troubleshooting guidance, and activity facilitation notes.
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Provide guidance to instructors on best practices for applied, interactive learning, including live tool demonstrations, coaching, discussion facilitation, learner support, applied exercises, and technology-supported problem solving.
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Work closely with instructors, learning facilitators, and client teams to tailor learning programs for diverse audiences, including enterprise clients, startups, government organizations, technical teams, business leaders, and cross-functional employee populations.
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Ensure instructors are equipped to deliver learning experiences confidently, accurately, consistently, and in alignment with GAβs instructional standards.
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Collect, synthesize, and analyze data on learning impact to support continuous improvement, content refinement, learner outcomes, and program updates.
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Where applicable, work with translation vendors and localization partners to adapt learning experiences for global audiences.
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Productization
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Lead conversations and workflows with product management and learning systems design teams to standardize reusable GA learning patterns, components, activities, templates, and program structures.
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Contribute to the development of a scalable library of reusable GA learning components, including program structures, activities, assessments, facilitator resources, client-ready assets, and AI-enabled learning patterns where relevant.
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Identify which custom learning materials can be converted into reusable product components or repeatable delivery models.
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Support the evolution of GAβs learning portfolio by identifying emerging client needs, market shifts, tool trends, and opportunities for new or improved learning products.
Qualifications
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5+ years of experience in instructional design, learning experience design, curriculum design, or a related field, with significant experience creating instructor-led training content.
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Demonstrated ability to design high-quality learning experiences for enterprise, professional, technical, or workplace audiences.
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Strong experience creating practical, outcome-driven learning materials, including slides, facilitator guides, activities, assessments, case studies, labs, simulations, and learner resources.
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Experience managing clients, stakeholders, SMEs, instructors, vendors, or cross-functional partners through a content development process.
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Strong understanding of instructional design methodologies, including Bloomβs Taxonomy, ADDIE, experiential learning, practice-based learning, and adult learning principles.
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Ability to design for both technical and non-technical audiences, including leaders, business teams, functional teams, and technical practitioners.
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Hands-on fluency with current AI tools and the ability to use those tools to design, prototype, evaluate, and improve learning experiences.
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Demonstrated experience designing learning experiences related to AI, emerging technology, data, digital transformation, technical skills, or workplace technology adoption.
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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.
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Experience designing practical, hands-on learning activities that may include AI tools, labs, case studies, simulations, workflow exercises, or tool-based practice.
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Experience collaborating with subject matter experts to translate complex concepts into structured, engaging, and accessible learning experiences.
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Familiarity with LMS platforms, content management systems, and authoring tools.
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Willingness to flex your schedule to join meetings across time zones, particularly in the United States, Europe, the Middle East, and Asia.
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Thrives in fast-paced, dynamic environments where priorities, tools, and client needs evolve quickly.
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Passionate about helping diverse learners build practical, future-facing skills for the changing world of work.
Requirements
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Technical proficiency in AI, data science, or coding, including Python, APIs, TensorFlow, PyTorch, or similar frameworks.
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Experience using GitHub or other technical collaboration tools.
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Experience designing AI training labs, coding exercises, model-building workshops, or real-world AI case studies.
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Familiarity with virtual machines, cloud-based labs, sandbox environments, or technical learning environments.
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Experience integrating AI-driven personalization, adaptive learning, or AI-supported learner practice into course design.
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Experience designing enterprise AI adoption programs, leadership AI programs, role-based AI academies, technical academies, digital transformation programs, or role-based learning journeys.
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Experience creating learning experiences for tools such as ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, NotebookLM, Midjourney, or similar platforms.
Benefits
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The anticipated annualized salary range for this position in the US market is $75,000 and $80,000. Salary will be determined based on experience, education, geographic location, and other factors.
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If hired as a regular full-time employee, this position will include a variable compensation plan which could be a bonus or a commission.
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US benefit offerings for full-time employment may include medical, dental, vision, term life insurance, short-term and long-term disability, additional voluntary benefits, commuter benefits, wellness plans & reimbursement and retirement programs.
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Available paid leave may include paid time off, parental leave, and holiday pay.
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Unless otherwise noted, remote positions can be performed from the following approved General Assembly operating countries: United States of America, Canada, United Kingdom, Australia, and Singapore.