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. Because AI is increasingly embedded across GA
programs and client needs, you should understand how modern AI tools are actually used in the
workplace and be able to translate that fluency into applied activities, labs, simulations, facilitator guides,
assessments, and client-specific adaptations.

While this role will contribute significantly to GA’s AI-enabled and emerging technology portfolio, it is
not a purely AI curriculum role. The core responsibility is to create scalable, high-quality GA programs
that meet learner needs, client goals, market expectations, and GA’s instructional standards.
You will project manage and collaborate with subject matter experts, instructors, product managers,
learning designers, assessment specialists, vendors, and client-facing teams to create learning experiences
that reflect current market needs, emerging capabilities, and practical workplace application.

Key Responsibilities:
Program Ownership & Discovery
● 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.
● Own the complete Client-facing Design Process; requirements gathering, learning outcomes,
project timelines, scope, resourcing, development plans, and content quality from discovery
through delivery.
● Partner with sales, product, client success, solutions, and delivery teams to identify client and
learner needs and translate those needs into practical learning solutions.
● Support pre-sales and client conversations by helping define skill needs, learner personas,
program objectives, audience readiness, and recommended learning pathways.
● 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.
● Define clear learning outcomes that move learners from awareness to practical application,
workflow improvement, productivity gains, behavior change, and responsible technology use.

Applied Learning Design & AI-Enabled Development
● 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.
● Create instructor-led training materials, including slides, hands-on labs, case studies, simulations,
assessments, facilitator guides, learner workbooks, and practical workplace exercises.
● Build learning experiences that help learners actively apply new skills in realistic workplace
contexts, including the use of AI tools and platforms where relevant.
● 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.
● Translate complex or technical concepts into structured, accessible, and engaging learning
experiences in partnership with subject matter experts.
● Curate, contextualize, and update content to reflect emerging industry trends, new tool
capabilities, evolving best practices, accessibility expectations, and responsible use
considerations.
● 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.
● 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.
● Ensure learning experiences are grounded in adult learning principles, learning science,
accessibility, measurable learner outcomes, and practical transfer to the workplace.
● Follow GA’s design and development standards, best practices, templates, QA processes, and
productization expectations for core and customized curriculum.
● Create, execute, and own the quality of project and program development timelines, deliverables,
and required resources.
● Onboard and project manage all resources required for program development, including SMEs,
other LEDs or instructional designers, assessment specialists, instructors, vendors, contractors,
and freelancers.

Delivery & Instructor Enablement
● 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.
● 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.
● 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.
● Ensure instructors are equipped to deliver learning experiences confidently, accurately,
consistently, and in alignment with GA’s instructional standards.
● Collect, synthesize, and analyze data on learning impact to support continuous improvement,
content refinement, learner outcomes, and program updates.
● Where applicable, work with translation vendors and localization partners to adapt learning
experiences for global audiences.

Productization
● Lead conversations and workflows with product management and learning systems design teams
to standardize reusable GA learning patterns, components, activities, templates, and program
structures.
● 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.
● Identify which custom learning materials can be converted into reusable product components or
repeatable delivery models.
● Support the evolution of GA’s learning portfolio by identifying emerging client needs, market
shifts, tool trends, and opportunities for new or improved learning products.

Qualifications:
● 5+ years of experience in instructional design, learning experience design, curriculum design, or a
related field, with 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, including leaders, business
teams, functional teams, and technical practitioners.
● Hands-on fluency with current AI tools and the ability to use those tools 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 where priorities, tools, and client needs evolve
quickly.
● Passionate about helping diverse learners build practical, future-facing skills for the changing
world of work.

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.

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. If hired as a regular full-time employee, this position will include a variable compensation plan which could be a bonus or a commission.

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. Available paid leave may include paid time off, parental leave and holiday pay.

The salary range published in this job posting is for US based locations only. Non-US based candidates interested in this position can email [email protected] for country-specific pay range details and benefits offered.