Staff Product Designer

📍 Job Overview

Job Title: Staff Product Designer

Company: Coursera

Location: Canada

Job Type: Full-Time

Category: Product Design / UX Design

Date Posted: 2026-08-11

Experience Level: 7-9 years

Remote Status: Remote OK

🚀 Role Summary

• Lead the design vision, strategy, and execution for a major product area, driving strategic direction and ensuring design quality across the entire product lifecycle.

• Define and navigate ambiguous, complex problem spaces by leveraging insights across customer, business, and operational domains to frame initiatives and establish a strategic point of view.

• Partner closely with Product Managers, Engineers, Researchers, and Data Scientists to design and implement scalable experiences that deliver significant outcomes for millions of learners and customers.

• Utilize AI fluently as a core component of the design craft, accelerating discovery, ideation, prototyping, and iteration while exercising sound judgment on its application.

📝 Enhancement Note: This role is a Staff level position, indicating a need for significant autonomy, strategic thinking, and the ability to influence product direction and mentor other designers. The emphasis on AI integration suggests a forward-thinking approach to design, requiring candidates to be proficient with emerging AI tools and methodologies within the design process.

📈 Primary Responsibilities

• Define and own the design strategy and execution for a significant product area, ensuring alignment with Coursera's broader platform strategy and business objectives.

• Translate complex user needs and business requirements into intuitive, elegant, and inclusive design solutions that enhance the learning experience.

• Drive the end-to-end design process, from discovery and research synthesis to high-fidelity prototyping and delivery, in close collaboration with cross-functional teams.

• Synthesize quantitative and qualitative insights from user research and data analysis to inform design decisions and shape product direction effectively.

• Contribute to and evolve Coursera's design system, ensuring consistency, scalability, and maintainability across all product interfaces.

• Mentor and guide junior and peer designers, fostering a culture of design excellence, craft, and effective storytelling.

• Actively explore and integrate AI tools to enhance design efficiency, expedite exploration, and improve the overall quality of design outputs.

📝 Enhancement Note: The responsibilities highlight a blend of strategic leadership, hands-on design execution, and cross-functional collaboration. The emphasis on AI is a key differentiator, requiring candidates to demonstrate practical experience and strategic thinking around AI's role in product design.

🎓 Skills & Qualifications

Education: Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field, or equivalent practical experience.

Experience: 7-9 years of experience as a UX or Product Designer, with a proven track record of leading design initiatives from concept to launch.

Required Skills:

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

• Strong portfolio showcasing end-to-end ownership of complex design solutions across multiple product areas.

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

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

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

• Working fluency with AI tools in the design process (e.g., for research synthesis, concept generation, rapid prototyping, content drafting), coupled with the judgment to apply them strategically.

• Proven ability to communicate design rationale effectively to influence cross-functional partners and senior stakeholders.

• Experience mentoring other designers to elevate design quality and storytelling capabilities. Preferred Skills:

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

• Experience designing for consumer SaaS, enterprise, or EdTech platforms.

• A track record of using AI tools to fundamentally change the design workflow (e.g., building lightweight prototypes or internal tools with AI assistance for faster idea validation).

• Passion for education, learning transformation, and Coursera's mission.

📝 Enhancement Note: The "Basic Qualifications" clearly define the minimum experience and tool proficiency. The "Preferred Qualifications" indicate areas where candidates can differentiate themselves, particularly with experience in AI-specific product design and a genuine passion for the education sector.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase at least 2-3 complex end-to-end design projects that demonstrate ownership from discovery through delivery.

• Clearly articulate your role in each project, highlighting strategic contributions, problem-solving approaches, and design decision rationale.

• Include detailed case studies that illustrate your process, including user research findings, wireframes, user flows, prototypes, and final visual designs.

• Demonstrate how you synthesized quantitative and qualitative insights to inform design decisions and measure impact.

• Highlight experience with design systems, interaction design, and visual design, showcasing your ability to maintain consistency and craft. Process Documentation:

• Provide examples of how you have facilitated design workshops and conducted user research to uncover insights.

• Showcase your ability to define information architecture and create comprehensive user flows for complex systems.

• Illustrate your experience with rapid prototyping and iterative design, demonstrating how you've used these methods to test and refine concepts.

• Include examples of how you've leveraged AI tools within your design process, explaining the benefits and outcomes.

📝 Enhancement Note: A strong portfolio is paramount for this role. Candidates should focus on showcasing strategic thinking, problem-solving skills, and the ability to drive impact through design. Explicitly detailing the use of AI in their process and portfolio projects will be a significant advantage.

💵 Compensation & Benefits

Salary Range: CAD $147,600 - $184,500 annually.

Benefits:

• Comprehensive health and wellness benefits.

• Bonus program eligibility.

• Restricted Stock Unit (RSU) equity program.

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

Working Hours: Standard full-time hours, typically around 40 hours per week, with flexibility expected to accommodate cross-functional collaboration across different time zones and project needs.

📝 Enhancement Note: The salary range is provided specifically for Canada and is zone-based, indicating potential variations within the country. The benefits package is comprehensive, aligning with typical offerings for senior roles in tech companies. The mention of flexibility acknowledges the remote nature of the role and global team structure.

🎯 Team & Company Context

🏢 Company Culture

Industry: Online Education / EdTech / Skills Development. Coursera operates at the intersection of technology and education, aiming to provide universal access to world-class learning. The recent combination with Udemy creates a dominant force in the global skills development market, particularly relevant in the AI era.

Company Size: Large (Coursera and Udemy combined represent a significant global workforce). This implies a structured environment with established processes, but also opportunities for impact due to the scale of operations and user base.

Founded: Coursera was launched in 2012. The company has a history of innovation in online learning and has recently undergone a significant merger, indicating a dynamic and evolving organizational landscape.

Team Structure:

• The Design & Research teams are integral to Coursera's success, focusing on gathering learner and educator insights.

• This role will likely be part of a pod structure, collaborating closely with Product Management, Engineering, Research, and Data Science teams dedicated to a major product area.

• There's a strong emphasis on cross-functional collaboration and intentional in-person or virtual gatherings for key milestones and complex problem-solving. Methodology:

• Data-driven decision-making, leveraging quantitative and qualitative insights to shape product strategy and design.

• Customer-first approach, focusing on delivering seamless experiences for learners and educators.

• Emphasis on innovation, particularly with AI integration into the platform and the design process.

• Iterative development and a commitment to continuous improvement based on metrics that matter.

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

📝 Enhancement Note: The merger with Udemy is a significant factor, suggesting a period of integration and opportunity for those who thrive in dynamic, large-scale environments. The company's mission-driven nature in education and its embrace of AI are key cultural elements.

📈 Career & Growth Analysis

Operations Career Level: Staff Product Designer. This level signifies a senior individual contributor role with a high degree of autonomy, strategic influence, and responsibility for significant product areas. It requires the ability to operate independently, mentor others, and drive complex initiatives.

Reporting Structure: While not explicitly stated, a Staff Product Designer typically reports to a Design Lead, Director of Design, or Head of Product Design. They will work closely with Product Managers and Engineering Leads within their assigned product area.

Operations Impact: This role has a direct and substantial impact on Coursera's core mission by shaping the user experience for millions of learners and educators globally. Decisions made will influence user engagement, learning outcomes, customer satisfaction, and ultimately, the company's success in the competitive EdTech and AI skills development market.

Growth Opportunities:

• Specialization: Deepen expertise in AI-driven product design, human-AI collaboration, or specific areas of the Coursera platform (e.g., learner experience, enterprise solutions).

• Leadership: Transition into a Design Lead or Managerial role, overseeing design teams and strategic initiatives.

• Cross-functional Influence: Expand influence across broader product initiatives and contribute to company-wide design strategy and best practices.

• Skill Development: Continuous learning in emerging design technologies, AI advancements, and user research methodologies through internal resources, external courses, and industry events.

📝 Enhancement Note: The Staff level implies a clear path for continued growth, either as a deep individual contributor with significant technical and strategic impact, or as a leader within the design organization. The company's focus on AI presents a unique opportunity for skill development in a cutting-edge field.

🌐 Work Environment

Office Type: Coursera operates as a globally distributed team, with a hybrid approach to collaboration. While the role is remote-eligible within Canada, intentional in-person or virtual gatherings are organized for collaboration, complex problem-solving, and key milestones.

Office Location(s): The role is open for hiring in Canada, implying that while the work is remote, there may be specific Canadian hubs or a distributed presence within the country.

Workspace Context:

• Remote-First Culture: Expect a work environment that supports remote employees with the necessary tools and communication practices.

• Collaborative Tools: Extensive use of digital collaboration tools (Figma, FigJam, etc.) is standard for asynchronous and synchronous teamwork.

• Cross-functional Interaction: Frequent interaction with Product Managers, Engineers, Researchers, and Data Scientists, necessitating strong communication and collaboration skills.

• Focus on Impact: The environment encourages individuals to move fast, simplify, and iterate relentlessly on metrics that matter, fostering a results-oriented culture.

Work Schedule: While the core working hours are standard, the distributed nature of the team means flexibility is key. Employees may need to adjust their schedules to accommodate meetings with colleagues in different time zones.

📝 Enhancement Note: The "globally distributed team" and "intentional gatherings" suggest a model that balances remote flexibility with structured in-person or virtual collaboration for specific purposes. Candidates should be comfortable with asynchronous communication and proactive in scheduling necessary interactions.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and portfolio, focusing on relevant experience, design craft, and AI integration.

• Hiring Manager Interview: Discussion about your background, experience, design philosophy, and alignment with the Staff Designer role.

• Design Challenge/Portfolio Review: A deep dive into your portfolio, presenting 1-2 key projects. This will likely involve explaining your process, design decisions, rationale, impact, and how you leveraged AI. Expect questions about problem-solving, ambiguity, and stakeholder management.

• Cross-functional Interviews: Meetings with Product Managers, Engineers, Researchers, and potentially other Designers to assess collaboration style, technical understanding, and team fit.

• Final Round: Potentially a meeting with senior leadership to discuss strategic vision and cultural alignment.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 projects that best showcase your ability to lead design for complex problems, demonstrate strategic thinking, and highlight your AI integration.

• Tell a Story: Structure your presentation around a narrative: the problem, your approach, key decisions, challenges, solutions, and measurable impact.

• Highlight AI: Clearly articulate how and why you used AI tools in your process. Discuss the benefits, limitations, and your judgment in their application.

• Showcase Process: Detail your UX methodology, from research and ideation to prototyping and iteration. Explain your rationale for each step.

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the success and impact of your designs.

• Be Prepared for Ambiguity: Staff roles often tackle ill-defined problems; be ready to discuss how you create clarity and frame opportunities.

Challenge Preparation:

• Understand Coursera: Research Coursera's mission, products, target audience, and recent developments (especially the Udemy merger and AI initiatives).

• Practice Articulation: Rehearse explaining complex design decisions concisely and persuasively. Practice articulating your design strategy and how it aligns with business goals.

• AI Integration: Be ready to discuss your perspective on AI in design, potential ethical considerations, and how you see it evolving the field.

📝 Enhancement Note: The interview process is designed to assess not only design skills but also strategic thinking, collaboration, and leadership potential. A strong emphasis on the portfolio and the ability to articulate the use of AI will be critical.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, prototyping, and collaborative workflows. Expect advanced usage.

• FigJam: For whiteboarding, brainstorming, and collaborative ideation sessions.

• AI Tools: Proficiency with various AI tools for design is a core requirement. This could include AI for:

  • Research synthesis and insight generation
  • Concept ideation and mood boarding
  • Rapid prototyping and wireframing assistance
  • Content drafting and copy generation
  • User flow optimization suggestions

• Prototyping Tools: Beyond Figma, potentially others for more advanced interactive prototypes.

Analytics & Reporting:

• Familiarity with analytics platforms (e.g., Amplitude, Google Analytics, Mixpanel) to understand user behavior and measure design impact.

• Ability to interpret data to inform design decisions and identify areas for improvement. CRM & Automation:

• While not a primary focus for a designer, understanding how CRM and automation tools influence user journeys can be beneficial.

📝 Enhancement Note: Proficiency in Figma and FigJam is a given. The critical differentiator here is the "Working fluency with AI tools in the design process." Candidates should be prepared to discuss specific AI tools they use and how they integrate them into their workflow.

👥 Team Culture & Values

Operations Values:

• Customer-First: A deep commitment to understanding and serving the needs of learners and educators.

• Invent and Innovate: Encouraging creative problem-solving and the exploration of new technologies, especially AI.

• Move Fast, Simplify Ruthlessly: A bias for action and a focus on delivering value efficiently without unnecessary complexity.

• Iterate Relentlessly: A continuous improvement mindset, driven by data and user feedback.

• Integrity and Impact: Upholding ethical standards and focusing on delivering meaningful positive outcomes in education.

Collaboration Style:

• Cross-functional Partnership: Strong emphasis on working collaboratively with Product, Engineering, Research, and Data Science to achieve shared goals.

• Open Communication: Encouraging transparent and direct communication, especially within a distributed team.

• Mentorship and Knowledge Sharing: A culture where designers are encouraged to mentor others and share best practices.

• Data-Informed Dialogue: Discussions and decisions are grounded in data and user insights.

📝 Enhancement Note: The company culture emphasizes agility, innovation, and a strong sense of mission. The values are geared towards driving impact through efficient, customer-centric design and development, with a clear embrace of new technologies like AI.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Ambiguity: Tackling complex, ill-defined problems and creating clarity to drive product direction.

• Scaling Experiences: Designing solutions that can effectively serve millions of diverse learners and educators across a global platform.

• AI Integration: Mastering the effective and ethical application of AI in design, ensuring it enhances rather than detracts from the user experience.

• Merger Integration: Adapting to and contributing to the integration of Coursera and Udemy, which may involve evolving processes and platforms.

• Cross-time Zone Collaboration: Effectively collaborating with a globally distributed team across different time zones.

Learning & Development Opportunities:

• AI in Design Specialization: Gaining deep expertise in AI-driven design tools and methodologies.

• Platform Strategy: Contributing to the strategic direction of a major EdTech platform during a period of significant growth and evolution.

• Leadership Development: Opportunities to mentor designers and influence design direction at a senior level.

• Industry Trends: Staying at the forefront of advancements in UX, product design, and educational technology.

• Access to Coursera Courses: Leveraging Coursera's own platform for continuous learning in various domains, including AI and design.

📝 Enhancement Note: The role presents significant challenges, particularly around leveraging AI, managing complexity, and contributing to a large-scale integration. These challenges are directly tied to substantial growth and learning opportunities in a rapidly evolving field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led the design vision for a complex product area. What was your strategy, and how did you ensure its execution?"

• "How do you approach creating clarity from ambiguity? Provide an example of a complex problem you simplified."

• "Walk me through your process for synthesizing quantitative and qualitative insights into actionable design recommendations. How do you influence stakeholders with these insights?"

• "How do you see AI transforming the role of a Product Designer? Share an example of how you've used AI tools to accelerate your design process or improve outcomes."

• "Describe a situation where you had to mentor a designer. What was your approach, and what was the outcome?" Company & Culture Questions:

• "What excites you about Coursera's mission, especially in the context of AI and the recent merger with Udemy?"

• "How do you ensure your designs are inclusive and accessible to a diverse global user base?"

• "How do you prioritize competing demands and feedback from various stakeholders?"

• "Describe your experience working in a globally distributed team. What are the keys to successful collaboration?" Portfolio Presentation Strategy:

• Structure: Begin with a high-level overview of the project and your role, then dive into the problem, your process (research, ideation, design), key decisions, the solution, and finally, the impact and learnings.

• AI Integration: For each project where AI was used, clearly state which AI tools were employed, the specific task they assisted with (e.g., research synthesis, rapid prototyping), and the tangible benefits (e.g., time saved, new ideas generated, improved iteration speed). Be prepared to discuss your critical judgment in applying AI.

• Visuals: Use clear, concise visuals (wireframes, user flows, mockups, prototypes) to illustrate your points.

• Storytelling: Frame your projects as compelling narratives that highlight your problem-solving skills and strategic thinking.

• Metrics: Quantify the impact of your designs whenever possible, using data to support your claims.

• Q&A: Anticipate questions about your design rationale, trade-offs you made, and how you would approach similar challenges in the future.

📝 Enhancement Note: Candidates should prepare to demonstrate their strategic thinking, problem-solving abilities, and practical application of AI in design. The portfolio presentation is a critical component, requiring a clear, data-backed narrative.

📌 Application Steps

To apply for this Staff Product Designer position:

• Submit your application through the Coursera careers portal via the provided link.

• Portfolio Customization: Tailor your portfolio to highlight 2-3 significant projects that demonstrate end-to-end ownership, strategic impact, and practical AI integration. Clearly articulate your role and the challenges you addressed.

• Resume Optimization: Ensure your resume clearly outlines your 7-9 years of relevant experience, proficiency in design tools (Figma, FigJam), experience with AI in design, and any leadership or mentorship activities. Use keywords from the job description.

• Interview Preparation: Practice articulating your design process, rationale, and impact. Prepare specific examples for behavioral questions and be ready to discuss your approach to AI in design. Rehearse your portfolio presentation.

• Company Research: Deeply understand Coursera's mission, products, target audience, recent merger with Udemy, and their strategic focus on AI. This will help you tailor your responses and demonstrate genuine interest.

⚠️ 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.