Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer

Company: Coursera

Location: Canada

Job Type: Full-Time

Category: Product Design / UX Design

Date Posted: 2026-08-11T22:59:38

Experience Level: 5-10 years

Remote Status: Remote OK

🚀 Role Summary

• Own the design of established features within a product area, translating complex research insights and business needs into elegant, well-crafted design solutions.

• Drive strategic design perspectives informed by business and market insights, taking ownership of significant components within larger strategic initiatives.

• Execute iterative design processes within an agile framework, breaking down complex problems into executable deliverables and planning for continuous improvement.

• Partner closely with cross-functional teams including Product Managers, Engineers, Researchers, and Data Scientists to deliver innovative products from conception through launch and beyond.

• Leverage AI tools and methodologies within the design process to enhance prototyping, explore concepts rapidly, and iterate on innovative solutions.

📝 Enhancement Note: This role focuses on established features, suggesting a need for designers who can refine and optimize existing user experiences while also integrating new functionalities, particularly those involving AI. The emphasis on "simplicity from complexity" and "design systems" indicates a need for strong foundational UX principles and the ability to scale solutions.

📈 Primary Responsibilities

• Translate user research findings and high-level concepts into clear design directions, comprehensive workflows, intuitive visual designs, and detailed interaction specifications.

• Develop and articulate strategic design perspectives, grounded in a deep understanding of business objectives, market trends, and user needs.

• Define project scope, impact, and sequencing, creating actionable design roadmaps that support agile development cycles and iterative improvements.

• Design user-centric, scalable, and aesthetically pleasing solutions that enhance usability, promote efficiency, and enable reuse across the Coursera platform.

• Collaborate effectively with Product Management, Engineering, User Research, and Data Science teams to ensure seamless product development and successful launches.

• Synthesize insights from diverse sources—including user feedback, data analytics, and market research—to formulate cohesive design recommendations and define success metrics.

📝 Enhancement Note: The responsibilities highlight a blend of strategic thinking, detailed execution, and cross-functional leadership. The explicit mention of "AI-powered personalized guide and features" and "prompt-based interactions" in preferred qualifications suggests a strong focus on AI integration within the product design.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio and demonstrated experience in UX/Product Design are paramount. Candidates with degrees in Design, Human-Computer Interaction, Computer Science, or related fields may have a foundational advantage.

Experience: 5-8 years of dedicated experience as a UX or Product Designer, with a proven track record of owning design initiatives throughout the entire product lifecycle.

Required Skills:

• Expertise in core UX methodologies, including user research, insight synthesis, user flow mapping, information architecture definition, wireframing, and prototyping.

• Proficient in interaction design and visual design principles, with experience contributing to and leveraging established design systems.

• Proven ability to design responsive, mobile-first experiences informed by robust user research and data-driven insights.

• Advanced proficiency in design and collaboration tools such as Figma and FigJam.

• Demonstrated ability to articulate design rationale clearly and influence cross-functional stakeholders, including Product Managers, Engineers, and Researchers.

• Experience integrating AI into the design process, utilizing tools like Claude Code to accelerate prototyping, explore diverse concepts, and iterate on new ideas. Preferred Skills:

• Experience specifically designing AI-driven products, including prompt-based interactions and best practices for effective human-AI collaboration.

• Experience in coaching or mentoring junior designers, guiding them in design thinking principles and craft best practices.

• A genuine passion for education, transformative learning experiences, and Coursera's mission to democratize access to world-class education.

📝 Enhancement Note: The experience requirement of 5-8 years, combined with the need for full product lifecycle ownership, suggests this role is for a mid-to-senior level designer capable of independent work and strategic contribution. The emphasis on AI integration is a key differentiator for this role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 comprehensive case studies demonstrating ownership of design work across the full product lifecycle, from initial concept to post-launch iteration.

• Projects should highlight your ability to translate user research and business requirements into elegant, user-centered design solutions.

• Include examples of information architecture, user flows, wireframes, interactive prototypes, and final visual designs.

• Demonstrate experience working within or contributing to a design system, showcasing consistency and scalability in your designs.

• Clearly articulate your role and contributions within each project, especially in collaborative team settings. Process Documentation:

• Detail your approach to user research, including methods used, insight synthesis, and how findings influenced design decisions.

• Illustrate your process for breaking down complex problems into manageable design tasks and your approach to agile iteration.

• Provide examples of how you have used data and metrics to inform design hypotheses, define success criteria, and measure design impact.

• Showcase your experience with AI integration in design, including specific tools and methodologies employed to enhance the design process.

📝 Enhancement Note: A strong portfolio is critical for this role, particularly one that demonstrates end-to-end product ownership and the ability to integrate complex requirements, including AI functionalities, into cohesive user experiences. The emphasis on both design craft and strategic thinking within the portfolio is key.

💵 Compensation & Benefits

Salary Range: $124,000 - $155,000 CAD per year.

Benefits:

• Comprehensive health and wellness benefits.

• Bonus program.

• Restricted Stock Units (RSU) equity program.

• Global perks designed to support employee growth and well-being.

Working Hours: While not explicitly stated, a full-time role typically implies a standard 40-hour work week. The company's globally distributed nature and emphasis on intentional collaboration suggest flexibility may be available, but core working hours will likely align with team needs.

📝 Enhancement Note: The salary range provided is specific to Canada and should be considered benchmarked against local market rates for senior-level product designers in the tech industry. The inclusion of bonus and RSU equity indicates a comprehensive compensation package common in publicly traded tech companies.

🎯 Team & Company Context

🏢 Company Culture

Industry: Education Technology (EdTech), E-learning, AI Integration.

Company Size: Coursera, post-Udemy merger, is a significant player in the EdTech space, employing a large, globally distributed workforce. This scale implies robust processes and a need for scalable design solutions.

Founded: Coursera was founded in 2012. The recent merger with Udemy signifies a strategic pivot and expansion, aiming to create a leading skills development platform for the AI era.

Team Structure:

• The Design & Research teams are integral to Coursera's product development, working closely with Product Management, Engineering, and Data Science.

• Senior Product Designers are expected to operate with a high degree of autonomy within their product areas, while also contributing to the broader design strategy and fostering collaboration.

• The company promotes a globally distributed team model, with intentional in-person gatherings for key milestones and collaborative work. Methodology:

• Data-driven decision-making is a core tenet, with designers expected to use insights from user research and analytics to inform their work.

• Agile development methodologies are employed, requiring designers to break down work into manageable sprints and iterate rapidly.

• A strong emphasis is placed on creating systematic and scalable design solutions, often leveraging design systems.

• Innovation is encouraged, particularly in integrating emerging technologies like AI to enhance the learning experience.

Company Website: https://www.coursera.org/

📝 Enhancement Note: The merger with Udemy suggests a dynamic and evolving organizational structure. As a B Corp and public benefit corporation, Coursera likely fosters a culture that balances business objectives with social impact, particularly in democratizing education.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Product Designer role, indicating a mid-to-senior level of expertise. Designers at this level are expected to lead design initiatives, mentor junior team members, and contribute strategically to product direction, rather than solely executing tasks.

Reporting Structure: Senior Product Designers typically report to a Design Lead or Director of Product Design. They work in close partnership with Product Managers and Engineering leads for their designated product areas.

Operations Impact: Product designers at Coursera directly influence the learner and educator experience, which is fundamental to the company's mission and business success. By creating seamless, engaging, and effective learning platforms, they drive user adoption, retention, and ultimately, the company's ability to provide universal access to world-class learning. The integration of AI is expected to further enhance this impact by personalizing and optimizing learning pathways.

Growth Opportunities:

• Specialization: Deepen expertise in specific product areas or emerging fields like AI-driven design, human-AI collaboration, or advanced learning technologies.

• Leadership: Transition into Lead Designer roles, mentor junior designers, or contribute to design strategy and process improvement initiatives.

• Cross-functional Mobility: Develop broader product management or research skills through collaboration and internal learning opportunities.

• Industry Influence: Contribute to the evolution of design in EdTech and AI through thought leadership, conference participation, or by shaping Coursera's design practices.

📝 Enhancement Note: The opportunity to work with AI in the context of education and skill development offers a unique growth path, positioning designers at the forefront of a rapidly evolving field. The company's mission-driven nature also provides intrinsic career satisfaction.

🌐 Work Environment

Office Type: Coursera operates with a globally distributed team model, emphasizing remote work flexibility. While intentional in-person collaboration for specific events is mentioned, the day-to-day environment is largely virtual.

Office Location(s): While the role is based in Canada and offers remote work, Coursera has offices in various locations globally, indicating a distributed workforce culture. The specific location within Canada is flexible due to the remote nature of the role.

Workspace Context:

• Collaborative Environment: The emphasis is on intentional virtual collaboration, using tools like Figma and FigJam to foster teamwork and knowledge sharing.

• Tools and Technology: Access to industry-standard design and collaboration tools, including Figma, FigJam, and potentially AI-assisted design tools like Claude Code.

• Team Interaction: Opportunities for regular interaction with product managers, engineers, researchers, and fellow designers through virtual meetings, design critiques, and project discussions.

Work Schedule: A standard full-time schedule is expected, but the remote nature of the role allows for flexibility in structuring the workday, provided core collaboration times are met. The company's global presence may mean occasional interaction with colleagues in different time zones.

📝 Enhancement Note: The globally distributed nature of Coursera means that successful candidates must be comfortable working autonomously and communicating effectively across different time zones and cultures. The company actively facilitates virtual collaboration to maintain team cohesion.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess qualifications and experience alignment.

• Portfolio Review & Design Exercise: You will likely present your portfolio, discussing key projects and your design process. This may be followed by a design exercise or case study to evaluate your problem-solving skills, design thinking, and ability to apply core UX methods.

• Cross-functional Interviews: Meetings with Product Managers, Engineers, and Researchers to assess collaboration skills, technical understanding, and cultural fit.

• Hiring Manager Interview: A final discussion with the hiring manager to delve deeper into your experience, strategic thinking, and leadership potential.

Portfolio Review Tips:

• Curate Selectively: Focus on 2-3 of your strongest, most relevant projects that demonstrate end-to-end ownership and impact.

• Tell a Story: For each project, clearly articulate the problem, your role, the process you followed (research, ideation, iteration), the challenges you faced, and the quantifiable outcomes or impact.

• Highlight AI Integration: If applicable, specifically showcase how you've incorporated AI into your design process or designed AI-powered features.

• Demonstrate Design Systems: Show how you've used or contributed to design systems to ensure consistency and scalability.

• Be Prepared for Deep Dives: Expect questions about your decision-making process, trade-offs you made, and how you handled stakeholder feedback.

Challenge Preparation:

• Understand the Context: If given a design challenge, ensure you thoroughly understand the problem statement, target user, and business goals.

• Structure Your Approach: Outline your process clearly, starting with problem definition, user research synthesis (even if hypothetical), ideation, and solution design.

• Articulate Rationale: Be ready to explain the "why" behind every design decision, linking it back to user needs and business objectives.

• Consider AI: Think about how AI could be leveraged within the problem space, even if not explicitly required by the challenge.

📝 Enhancement Note: The interview process will heavily scrutinize your portfolio and your ability to articulate your design process and rationale. Demonstrating an understanding of AI's role in product design and learning is crucial for this role.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The primary tool for UI design, wireframing, and prototyping. Proficiency is essential.

• FigJam: Used for collaborative ideation, brainstorming, and whiteboarding.

• AI Design Assistants: Tools like Claude Code are mentioned for speeding up prototyping, concept exploration, and idea iteration.

Analytics & Reporting:

• While not specified for designers, familiarity with how user data and analytics (e.g., from tools like Amplitude, Google Analytics) inform design decisions is beneficial. CRM & Automation:

• Not directly used by designers, but understanding how product features integrate with CRM or automation platforms can be advantageous for holistic product thinking.

📝 Enhancement Note: Proficiency in Figma and FigJam is a baseline requirement. Experience with AI-assisted design tools is a significant advantage, indicating a forward-thinking approach to product development.

👥 Team Culture & Values

Operations Values:

• Customer-First: A strong focus on understanding and serving the needs of learners and educators.

• Innovation: Encouraging new ideas and the adoption of emerging technologies like AI to improve the learning experience.

• Scalability & Efficiency: Designing solutions that can be implemented across a large platform and reused effectively.

• Collaboration: Working effectively across diverse, globally distributed teams to achieve common goals.

• Impact-Driven: Focusing on metrics that demonstrate tangible positive outcomes for learners and the business.

Collaboration Style:

• Cross-functional Partnership: Designers work closely with Product Managers, Engineers, Researchers, and Data Scientists, requiring strong communication and negotiation skills.

• Design Critiques: Regular participation in design reviews to provide and receive constructive feedback.

• Knowledge Sharing: A culture that encourages sharing best practices, design patterns, and learnings across the design team.

• Iterative Feedback Loops: Embracing feedback throughout the design process to refine solutions.

📝 Enhancement Note: Coursera's values, particularly its B Corp status and mission, suggest a culture that values purpose-driven work. Designers are expected to contribute not just to product features but also to the overall mission of making education accessible.

⚡ Challenges & Growth Opportunities

Challenges:

• Simplifying Complexity: Translating the multifaceted nature of online learning and AI into intuitive user experiences.

• Balancing Innovation with Scalability: Introducing cutting-edge features (like AI) while ensuring they are robust, scalable, and integrate seamlessly with existing systems.

• Global User Needs: Designing for a diverse global audience with varying technical literacy, cultural backgrounds, and learning objectives.

• AI Integration Nuances: Navigating the ethical considerations, user trust, and effective implementation of AI in educational contexts.

Learning & Development Opportunities:

• AI Design Specialization: Gaining deep expertise in designing for AI-powered products and human-AI interaction.

• Mentorship Programs: Opportunities to mentor junior designers and receive mentorship from senior leaders.

• Industry Trends: Staying abreast of advancements in EdTech, AI, and design methodologies through company resources and external learning.

• Cross-functional Exposure: Learning from product management, engineering, and research to develop a holistic understanding of product development.

📝 Enhancement Note: The challenges presented are directly tied to the company's mission and the evolving landscape of AI in education. These challenges also represent significant growth opportunities for ambitious designers.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex product or feature you’ve designed from concept to launch. What was your process, what were the key challenges, and what was the impact?" (Focus on end-to-end ownership, AI integration if applicable, and metrics.)

• "How would you approach designing a new AI-powered feature for Coursera, considering user trust and educational efficacy?" (Demonstrate strategic thinking, user-centricity, and AI understanding.)

• "Walk us through how you would use design systems to ensure consistency and scalability across a large platform like Coursera." (Showcase your understanding of design systems and their practical application.) Company & Culture Questions:

• "What excites you about Coursera's mission and how does it align with your personal values and career goals?" (Research Coursera's mission, B Corp status, and recent merger.)

• "How do you approach collaboration with product managers and engineers, especially in a remote, globally distributed environment?" (Highlight your communication skills and experience with cross-functional teams.)

• "How do you measure the success of your designs, and what role does data play in your process?" (Emphasize your data-informed approach and ability to define and track KPIs.) Portfolio Presentation Strategy:

• Structure: Begin with a high-level overview of your career and design philosophy. Then, dive into 2-3 detailed case studies, clearly outlining the problem, your role, process, solutions, and impact.

• Storytelling: Weave a narrative for each project, focusing on the user problem and how your design solved it. Be clear about the "why" behind your decisions.

• Visuals: Use high-fidelity mockups, prototypes, and user flows to illustrate your work. Ensure they are clear and easy to understand.

• AI Emphasis: If you have relevant AI projects, dedicate specific time to discussing them, explaining your approach to prompt design, AI integration, and user interaction.

• Q&A: Be prepared for in-depth questions about your design choices, trade-offs, and how you handle feedback.

📝 Enhancement Note: Prepare to discuss your experience with AI tools and methodologies in detail, as this is a key differentiator for this role. Your ability to articulate your thought process and connect design decisions to business and user outcomes will be critical.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided link on the Coursera careers page.

• Tailor Your Resume: Highlight your 5-8 years of UX/Product Design experience, emphasizing full product lifecycle ownership, AI integration, and proficiency in Figma/FigJam. Quantify achievements where possible.

• Curate Your Portfolio: Select 2-3 of your strongest projects that showcase end-to-end design, complex problem-solving, and ideally, experience with AI-driven features or processes. Ensure it clearly articulates your role and impact.

• Prepare Your Narrative: Practice presenting your portfolio, focusing on storytelling, explaining your design rationale, and discussing the impact of your work. Be ready to discuss your approach to AI in design.

• Research Coursera: Understand the company's mission, values, recent merger with Udemy, and its position in the EdTech and AI space. This will help you tailor your responses and demonstrate cultural fit.

⚠️ 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.

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