Product Designer - AI-Assisted Learning Experiences

📍 Job Overview

Job Title: Product Designer - AI-Assisted Learning Experiences

Company: Learn. Develop. Succeed

Location: Vancouver, British Columbia, Canada

Job Type: Full-time, Ongoing

Category: Product Design / Educational Technology / UX/UI

Date Posted: April 02, 2026

Experience Level: 2-5 Years (Experienced)

Remote Status: Hybrid (Remote available after probationary period)

🚀 Role Summary

• Design and rapidly build learner-facing applications within the PEAK platform, leveraging AI-assisted tools to create adaptive and personalized learning experiences.

• Develop intuitive, neuro-affirming user experiences that cater to neurodivergent learners, grounded in real educational needs through collaboration with educators.

• Translate innovative concepts into functional, interactive prototypes end-to-end, focusing on usability, clarity, and accessibility.

• Collaborate closely with engineering teams to integrate backend logic, data, and systems, ensuring seamless functionality of developed tools.

• Drive rapid iteration cycles based on feedback, usage data, and observational insights to continuously improve and evolve learning tools.

📝 Enhancement Note: This role sits at the critical intersection of product design, educational technology, and emerging AI capabilities. The focus on "AI-Assisted Learning Experiences" and the "PEAK platform" suggests a forward-thinking approach to personalized education, specifically targeting neurodivergent learners. The emphasis on rapid prototyping and iteration within a "fast-paced, experiment-driven role" indicates a need for agility and a strong bias for action.

📈 Primary Responsibilities

• Design and construct end-to-end interactive, learner-facing prototypes for the PEAK platform, employing modern UX/UI principles.

• Translate abstract concepts into tangible, testable applications and engaging experiences, ensuring a high degree of usability and clarity.

• Champion neuro-affirming and accessible design practices, specifically tailoring user experiences for neurodivergent learners.

• Conduct collaborative design sessions with educators, internal staff, and potentially learners to gather feedback, validate concepts, and refine prototypes.

• Implement iterative design processes, rapidly incorporating feedback, usage analytics, and observational data to enhance prototype functionality and user engagement.

• Partner with the engineering team to connect prototypes with backend systems and data pipelines, ensuring robust integration and data flow.

• Actively utilize and explore AI-assisted tools (e.g., GitHub Copilot, GPT-based tools) to accelerate design workflows, content generation, and iterative development.

• Experiment with and explore novel interaction formats, such as game-like interfaces, adaptive learning pathways, and dynamic interactive tools.

• Create comprehensive documentation for concepts, prototypes, and key learnings to facilitate knowledge sharing and support ongoing platform development.

📝 Enhancement Note: The responsibilities highlight a blend of creative design, technical execution, and collaborative problem-solving. The explicit mention of "game-like interfaces," "adaptive experiences," and "interactive tools" suggests a focus on highly engaging and dynamic learning solutions. The requirement to "document concepts, prototypes, and learnings" implies a need for strong communication and knowledge management skills within a fast-paced development environment.

🎓 Skills & Qualifications

Education:

Experience:

• 2-5+ years of demonstrated experience in UX/UI design and interactive prototyping.

• Proven ability to independently build functional, interactive prototypes from concept to near-completion.

Required Skills:

• Excellent communication skills with a proven ability to collaborate effectively with diverse stakeholders, including educators and engineers.

• Strong intuition and practical application of UX/UI design principles, focusing on usability, clarity, and interaction design.

• Demonstrated experience designing for accessibility and diverse user needs, with a preference for experience with neurodivergent users.

• High level of initiative, self-motivation, and comfort operating within an experimental, fast-moving, and often ambiguous environment.

• Ability to independently take ideas from initial concept through to functional prototype development.

• Creative, flexible, and analytical problem-solving approach to address complex design challenges.

• Strong sense of ownership, accountability, and a proactive attitude towards task completion.

• Demonstrated alignment with Learn. Develop. Succeed's mission and values.

Preferred Skills:

• Frontend development experience with modern web stacks, such as React/Next.js, or similar frameworks used in production systems.

• Experience building interactive or game-like user experiences that drive engagement.

• Specific experience designing for neurodivergent users or within educational technology contexts.

• A keen interest in learning science, cognitive design principles, or human-centered AI systems.

📝 Enhancement Note: The requirement for "2-5+ years" of experience combined with the "degree or equivalent experience" suggests a role that values practical application and demonstrated skill over formal education alone. The emphasis on "neuro-affirming design" and specific experience with neurodivergent users is a critical differentiator, signaling the organization's commitment to inclusive design. The explicit mention of AI tools like "GitHub Copilot" points to a modern, tech-forward development environment.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing end-to-end UX/UI design projects and, critically, interactive prototype work.

• Evidence of designing for accessibility and diverse user needs, with specific examples or case studies demonstrating this capability.

• Case studies detailing the process of taking an idea from concept to a functional, testable prototype, highlighting iterative improvements.

• Examples of problem-solving within design, demonstrating creative and flexible approaches to user challenges.

Process Documentation:

• Examples of how you document design concepts, user flows, and prototype functionalities to facilitate team understanding and knowledge transfer.

• Case studies that illustrate your ability to work within an experimental, fast-moving environment, showing how you manage ambiguity and evolving requirements.

• Documentation of learnings derived from prototype testing and user feedback, demonstrating a commitment to data-informed iteration.

📝 Enhancement Note: For this role, the portfolio is paramount. It needs to demonstrate not just static design skills, but the ability to build and iterate on interactive prototypes. The emphasis on "end-to-end" and "functional prototypes independently" means candidates should be prepared to showcase the development aspect of their design work, not just the conceptualization. Evidence of experience with accessibility and neuro-affirming design is crucial and should be clearly highlighted.

💵 Compensation & Benefits

Salary Range: $60,000 - $70,000 CAD per annum, commensurate with experience.

Benefits:

• Retirement Savings: $1,000 RRSP contribution (for 2026).

• Paid Time Off: Paid vacation time aligned with experience, plus a paid office closure period from December 25th to January 1st.

• Health & Wellness: Extended health, dental, and insurance benefits provided after the initial 3-month probationary period.

• Workplace Culture: Access to a neuroaffirming and inclusive workplace environment.

• Team Environment: A collaborative, values-driven team atmosphere.

• Professional Development: Opportunities for ongoing professional growth and learning.

• Relocation Support: Potential financial assistance for relocation expenses may be available.

Working Hours:

• Standard working hours are 40 hours per week, Monday to Friday.

• An approximate schedule can range from 8:30 AM to 4:30 PM PST to 10:30 AM to 6:30 PM PST, offering some flexibility within the workday.

📝 Enhancement Note: The salary range is competitive for an experienced Product Designer role in Vancouver, particularly given the specialized focus. The benefits package is comprehensive, with a notable inclusion of a paid office closure, which is a significant perk. The RRSP contribution and potential relocation support further enhance the total compensation package. The flexible working hours offer a good work-life balance, aligning with the hybrid work arrangement. The mention of being a "Certified Living Wage Employer in BC" underscores the organization's commitment to fair compensation and employee well-being.

🎯 Team & Company Context

🏢 Company Culture

Industry: Educational Nonprofit Charity / Technology / Research-Based Learning Solutions

Company Size: The provided information suggests a growing, innovative organization. While an exact size isn't given, the description of "scientists, educators, and engineers" working together implies a dynamic, multi-disciplinary team that is likely medium-sized and focused on impact.

Founded: The founding date is not explicitly stated, but the organization is described as "growing" and "innovative," indicating a mature yet forward-thinking entity.

Team Structure:

• The Product Designer will be part of the RISE Next Generation AI initiative, working within a "small, high-trust team."

• They will report to the "Senior Manager, Technology," indicating a clear reporting line within the technology department.

Methodology:

• The organization employs a "research-based" and "evidence-based" approach to its programs.

• The PEAK platform is described as "data-informed," emphasizing a data-driven decision-making process.

• The role itself is characterized by a "fast-paced, experiment-driven" methodology, focusing on rapid prototyping, testing, and iteration.

• AI tools are integral to accelerating design and development workflows.

Company Website: https://ldsociety.ca/

📝 Enhancement Note: Learn. Develop. Succeed operates within the unique space of educational non-profits focused on learning differences. Their approach is a blend of scientific research, pedagogical expertise, and technological innovation. The "RISE Next Generation AI initiative" and the "PEAK platform" signal a strong commitment to leveraging cutting-edge technology to achieve their mission. The culture appears to be mission-driven, collaborative, and focused on making a tangible impact on learners' lives.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as an "Experienced" Product Designer, specifically focusing on AI-assisted learning experiences. It sits within the Technology department and reports to a Senior Manager, indicating a mid-level individual contributor role with significant autonomy. The scope involves end-to-end design and prototyping, suggesting a high degree of responsibility for product development cycles.

Reporting Structure: The role reports to the Senior Manager, Technology. This suggests a direct line of communication for strategic direction, performance feedback, and career development discussions. The "small, high-trust team" environment implies close working relationships and potential for mentorship from the manager and peers.

Operations Impact: The Product Designer's impact is directly tied to the development and refinement of the PEAK platform and its associated AI-driven learning tools. By creating effective, engaging, and accessible learning experiences, this role directly contributes to the organization's mission of supporting neurodivergent learners. Success will be measured by the adoption, effectiveness, and iterative improvement of the tools developed, ultimately impacting learner outcomes and the organization's reach.

Growth Opportunities:

• Skill Advancement: Deepen expertise in AI-assisted design workflows, neuro-affirming UX, and interactive prototyping for educational technology. Potential to become a subject matter expert in designing for neurodivergent users.

• Technical Proficiency: Develop stronger frontend development skills if pursuing the "highly valued" asset, potentially transitioning into a more hybrid design-engineering role.

• Leadership Potential: As experience grows within the RISE initiative, opportunities may arise to lead design efforts on specific features or projects, mentor junior designers, or contribute to broader product strategy.

• Cross-Functional Exposure: Gain deep insights into learning science, cognitive design, and educational methodologies through close collaboration with educators and researchers.

📝 Enhancement Note: The role offers substantial growth potential by immersing the designer in a cutting-edge initiative focused on AI in education. The opportunity to specialize in neuro-affirming design and contribute to a platform like PEAK provides a unique career path. Advancement could lead to senior design positions, specialized AI/UX roles, or even product management within the ed-tech space.

🌐 Work Environment

Office Type: The role is advertised as "Hybrid," with remote work becoming available after a probationary period. This suggests a modern work environment that balances in-office collaboration with remote flexibility. The organization also operates physical "Learning Centres" in East and North Vancouver, and a mobile classroom, indicating a physical presence alongside digital operations.

Office Location(s):

• Primary work location: Vancouver, British Columbia.

• Specific office locations mentioned include Learning Centres in East Vancouver and North Vancouver.

Workspace Context:

• Collaborative Environment: The emphasis on a "small, high-trust team" and collaboration with educators and engineers points to a dynamic and interactive workspace. The hybrid model will require effective virtual collaboration tools and practices.

• Tools and Technology: The role will heavily utilize design and prototyping tools, AI-assisted development tools (like GitHub Copilot), and Git for version control. Access to modern development environments and potentially specialized hardware for testing will be expected.

• Team Interaction: Opportunities for direct interaction with educators and engineers are crucial for grounding designs in real needs and ensuring technical feasibility. Regular check-ins, design reviews, and collaborative sessions will be standard.

Work Schedule:

• A standard 40-hour work week, Monday to Friday.

• Flexible scheduling is offered, with approximate hours potentially falling between 8:30 AM - 4:30 PM PST and 10:30 AM - 6:30 PM PST. This flexibility is beneficial for managing deep work sessions and collaborative meetings across different time zones or personal needs.

📝 Enhancement Note: The hybrid work model is a significant aspect of this role, offering flexibility while maintaining opportunities for in-person collaboration. The mention of physical Learning Centres and a mobile classroom suggests that the organization values diverse modes of service delivery and interaction, which might influence how the design team engages with end-users or educators for feedback.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of application, resume, and portfolio to assess alignment with core requirements and experience.

• Portfolio Presentation & Discussion: A key stage will likely involve presenting a selection of work from your portfolio, focusing on interactive prototypes and case studies demonstrating your design process, problem-solving skills, and experience with accessibility or neuro-affirming design. Expect questions about your design decisions, iterative process, and collaboration methods.

• Technical/Design Challenge: A potential exercise to assess your ability to rapidly prototype a concept or solve a specific design problem, possibly incorporating AI tools or focusing on accessibility.

• Team/Cultural Fit Interviews: Conversations with the Senior Manager, Technology, and potentially other team members (educators, engineers) to evaluate collaboration style, communication skills, and alignment with the company's mission and values.

• Final Interview: May involve a broader discussion about your aspirations, understanding of the role's impact, and final suitability.

Portfolio Review Tips:

• Highlight Interactive Prototypes: Prioritize showcasing functional prototypes that demonstrate your ability to build, not just conceptualize. Use video demonstrations or interactive links where possible.

• Emphasize Process & Iteration: For each project, clearly articulate the problem, your design process, the challenges faced, how you incorporated feedback (especially from educators or diverse users), and the resulting improvements.

• Showcase Accessibility & Neuro-Affirming Design: Dedicate specific examples or projects to demonstrating your understanding and application of these principles. Explain why certain design choices were made to support neurodivergent users.

• Quantify Impact (if possible): If you have metrics on how your designs improved user engagement, task completion, or learning outcomes, present them clearly.

• Tailor to the Role: Ensure your portfolio directly addresses the requirements of this specific role, emphasizing AI-assisted workflows, educational contexts, and interactive experiences.

Challenge Preparation:

• Understand the Context: Research "AI-Assisted Learning Experiences," "neurodivergent learners," and the "PEAK platform" to grasp the domain.

• Practice Rapid Prototyping: Be prepared to demonstrate your speed and efficiency in creating functional prototypes using common tools.

• Think About AI Integration: Consider how AI could genuinely enhance learning experiences and how you would design for it responsibly.

• Focus on User Needs: Always ground your solutions in the needs of the learners and educators.

• Prepare to Articulate Your Thinking: Be ready to explain your design decisions, trade-offs, and rationale clearly and concisely.

📝 Enhancement Note: The emphasis on a portfolio review and potential design challenge underscores the practical, hands-on nature of this role. Candidates should prepare to demonstrate their ability to build and iterate, rather than just present theoretical design concepts. The specific mention of answering "5-6 questions" in lieu of a cover letter suggests a desire for direct, thoughtful responses that reveal personality and alignment with values.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Proficiency in industry-standard tools such as Figma, Sketch, Adobe XD, or similar for UI design and interactive prototyping.

• Version Control: Strong familiarity with Git-based workflows (e.g., using GitHub, GitLab, Bitbucket) for code and asset management.

• AI-Assisted Development: Willingness and ability to learn and adopt AI-assisted tools such as GitHub Copilot, GPT-based tools (e.g., for content generation, code completion, design idea generation), or similar agentic development workflows.

Analytics & Reporting:

• While not explicitly listed as a primary responsibility for the designer, familiarity with analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude) would be beneficial for understanding user behavior and informing design iterations.

CRM & Automation:

Highly Valued (Frontend Development Stack):

• Frontend Frameworks: Experience with modern web frameworks like React/Next.js, or similar technologies used in production systems. This indicates the potential to contribute more directly to the development of functional prototypes or even production features.

• Web Technologies: Solid understanding of HTML, CSS, and JavaScript.

📝 Enhancement Note: The technology stack emphasizes modern design and development practices. The inclusion of "AI-assisted tools" like GitHub Copilot is a key differentiator, indicating a company that is embracing AI to enhance productivity and innovation. The "highly valued" frontend development experience suggests that candidates with a stronger technical bent may have an advantage, particularly for rapidly building functional prototypes.

👥 Team Culture & Values

Operations Values:

• Mission Alignment: A strong commitment to the organization's mission of serving children, youth, and adults with learning differences. This is paramount and will be assessed during the application process.

• Innovation & Research-Based: A culture that values evidence-based practices, scientific inquiry, and the application of new technologies like AI to improve learning outcomes.

• Neuroaffirming & Inclusive: A commitment to creating a workplace and products that are welcoming, respectful, and supportive of neurodivergent individuals. This extends from internal culture to the design of external tools.

• Collaboration & Trust: A "high-trust team" environment where open communication, mutual respect, and shared ownership are encouraged.

• Impact-Driven: A focus on making a meaningful difference in the lives of learners, with an emphasis on results and continuous improvement.

Collaboration Style:

• Cross-Functional Integration: Expect to work closely with educators to ensure designs meet pedagogical needs, and with engineers to translate designs into functional prototypes.

• Iterative Feedback Loops: The culture supports rapid iteration based on feedback, encouraging a continuous dialogue between design, development, and educational stakeholders.

• Knowledge Sharing: Documentation of learnings and concepts is important, suggesting a culture where sharing insights and best practices is valued to support team growth and platform evolution.

• Experimentation: A willingness to explore new ideas and formats, with a comfort level for experimentation and learning from both successes and failures.

📝 Enhancement Note: The company's values are deeply intertwined with its mission. The emphasis on "neuroaffirming" and "inclusive" culture is a significant aspect, suggesting that candidates should demonstrate an understanding and appreciation for diversity in learning and working styles. This is not just about design principles but about how individuals interact and contribute to the team.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapid Prototyping Demands: Balancing the need for rapid iteration and experimentation with the requirement for robust, accessible, and neuro-affirming design can be challenging.

• Integrating AI Responsibly: Designing AI-assisted learning experiences requires careful consideration of ethical implications, data privacy, and ensuring that AI enhances, rather than hinders, the learning process and human connection.

• Bridging Design and Development: Effectively collaborating with engineers to connect prototypes with backend systems and data requires strong communication and a shared understanding of technical constraints and possibilities.

• Evolving Requirements: Working in an experimental, fast-moving environment means requirements may evolve, demanding adaptability and resilience.

Learning & Development Opportunities:

• Specialized Skill Development: Gain in-depth expertise in designing for neurodivergent users, AI-driven educational tools, and advanced interactive prototyping techniques.

• Industry Exposure: Immerse yourself in the field of educational technology and learning science, potentially attending relevant conferences or workshops.

• Mentorship: Potential to learn from senior technology leaders and experienced educators within the organization, fostering professional growth.

• Leadership Exposure: Opportunities to take ownership of design projects, influence product direction, and potentially mentor junior team members as the initiative grows.

📝 Enhancement Note: The primary challenges revolve around the innovative nature of the work – balancing speed with quality, integrating new technologies like AI thoughtfully, and adapting to evolving project requirements. These challenges are directly tied to significant growth opportunities, particularly in specialized areas of UX design and AI application in education.

💡 Interview Preparation

Strategy Questions:

• Operations Strategy & Methodology: Be prepared to discuss how you approach designing for complex user needs, especially in an educational context. Expect questions about your process for translating research or educator feedback into actionable design solutions. How do you prioritize features in a rapidly evolving product?

• Collaboration & Stakeholder Management: Prepare examples of how you've collaborated with non-designers (educators, engineers) to achieve project goals. How do you handle conflicting feedback or differing priorities?

• Problem-Solving & Efficiency: Be ready to walk through a complex design problem you've solved, emphasizing your thought process, the trade-offs you made, and how you ensured the solution was effective and efficient.

Company & Culture Questions:

• Mission Alignment: Clearly articulate why Learn. Develop. Succeed's mission resonates with you and how your values align with theirs. Research their work and be ready to discuss specific aspects that interest you.

• Team Dynamics: Discuss your preferred collaboration style and how you contribute to a positive and productive team environment, especially in a hybrid or remote setting.

• Operations Impact Measurement: How do you measure the success of your designs, particularly in an educational context? Be ready to discuss metrics for prototypes and user engagement.

Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly define the problem, your role, the key challenges, your approach (including any AI tools used), the solutions, and the outcomes or learnings.

• Focus on Interactive Prototypes: Demonstrate live prototypes or video walkthroughs that highlight interactivity, user flows, and key features.

• Quantify Achievements: If possible, use data or metrics to support the impact of your design work (e.g., user feedback trends, engagement rates for specific features).

• Highlight Accessibility & Neuro-Affirming Design: Dedicate specific slides or sections to showcasing how you've applied these principles, explaining your rationale and methods.

• Be Prepared for Deep Dives: Anticipate detailed questions about your design decisions, technical choices, and the iterative process.

📝 Enhancement Note: The interview process will heavily scrutinize your practical design and prototyping skills, your collaborative abilities, and your genuine alignment with the company's mission. Preparing specific examples that demonstrate your experience with accessibility, AI tools, and iterative design will be crucial. The emphasis on answering written questions in lieu of a cover letter suggests a need for concise, thoughtful, and direct communication.

📌 Application Steps

To apply for this Product Designer position:

• Submit Your Application: Apply directly through the Learn. Develop. Succeed careers page: https://ldsociety.ca/careers/

• Prepare Your Portfolio: Curate a portfolio that prominently features your interactive prototype work, case studies demonstrating your end-to-end design process, and specific examples of designing for accessibility and neuro-affirming experiences. Ensure it highlights your experience with AI-assisted workflows where applicable.

• Craft Your Responses: In lieu of a cover letter, prepare thoughtful, concise answers (3-4 sentences each) to the 5-6 questions posed on the application. Focus on directly addressing the prompts and showcasing your alignment with the company's mission and values.

• Optimize Your Resume: Tailor your resume to highlight keywords and experiences relevant to UX/UI design, prototyping, AI-assisted development, accessibility, and educational technology. Quantify achievements where possible.

• Research the Organization: Understand Learn. Develop. Succeed's mission, values, and the PEAK platform. Familiarize yourself with the challenges and opportunities in AI-assisted learning for neurodivergent individuals.

• Practice Your Presentation: Rehearse presenting your portfolio, focusing on clarity, conciseness, and the ability to articulate your design process, challenges, and solutions effectively. Be ready to discuss your approach to AI integration and user-centric design.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.