Staff Product Designer

📍 Job Overview

Job Title: Staff Product Designer

Company: Coursera Sourcing

Location: Canada

Job Type: Full-Time

Category: Product Design / UX

Date Posted: 2026-08-11T16:34:59

Experience Level: Mid-Senior Level (7-9 years)

Remote Status: Remote OK

🚀 Role Summary

• Lead the overall design vision, strategy, and execution for a significant product area, ensuring excellence in craft and quality throughout the product lifecycle.

• Translate complex, ambiguous problem spaces into simple, elegant, and inclusive user-centered solutions, influencing product direction.

• Collaborate closely with Product Management, Engineering, Research, and Data Science teams to design and launch scalable user experiences that drive learner and customer outcomes.

• Leverage AI tools fluently within the design process to accelerate discovery, ideation, prototyping, and iteration, while maintaining critical judgment.

📝 Enhancement Note: This role is positioned as a Staff Product Designer, indicating a senior individual contributor role requiring significant experience in leading design initiatives, influencing product strategy, and mentoring other designers. The emphasis on AI integration suggests a forward-thinking approach to design practice within Coursera's evolving platform.

📈 Primary Responsibilities

• Define and own the design vision, strategy, and execution for a major product area, shaping its strategic roadmap and ensuring design quality from concept to delivery.

• Navigate and define ambiguous, complex problem spaces by synthesizing insights from customer needs, business objectives, and operational considerations.

• Drive product direction by framing initiatives and articulating a strategic point of view grounded in user and business value.

• Partner cross-functionally with product managers, engineers, researchers, and data scientists to design and ship impactful, scalable experiences across the Coursera platform.

• Design new features within existing systems and contribute to the definition of new patterns and formats as the product and industry evolve.

• Collaborate with research and data leads to synthesize quantitative and qualitative insights into cohesive, actionable design recommendations that inform product strategy.

• Apply AI tools fluently as part of the design craft to accelerate exploration, concept generation, rapid prototyping, and iteration, while exercising sound judgment on their application.

• Effectively communicate design rationale to influence cross-functional partners and senior stakeholders, and mentor other designers to elevate design quality and storytelling.

📝 Enhancement Note: The responsibilities highlight a blend of strategic leadership, hands-on design execution, and cross-functional collaboration. The emphasis on "navigating ambiguity," "influencing product direction," and "synthesizing insights" are core competencies expected of a Staff Product Designer. The explicit mention of AI integration indicates a requirement to be at the forefront of design technology adoption.

🎓 Skills & Qualifications

Education: Not explicitly specified, but a Bachelor's or Master's degree in Design, HCI, Computer Science, or a related field is typically expected for this level.

Experience: 7-9 years of experience as a UX or Product Designer, with a strong portfolio showcasing end-to-end ownership of complex solutions across multiple product areas.

Required Skills:

• Demonstrated experience in core UX methodologies, including workshop facilitation, user research, insight synthesis, user flow creation, information architecture definition, wireframing, and prototyping.

• Proven track record of guiding design teams from discovery through product delivery.

• Expertise in interaction and visual design principles, including experience with and contribution to design systems.

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

• 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), with the judgment to apply them effectively.

• Demonstrated ability to communicate design rationale persuasively to influence cross-functional partners.

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

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

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

• 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).

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

📝 Enhancement Note: The experience requirement of 7-9 years aligns with a Staff-level designer. The emphasis on both foundational UX skills and advanced competencies like AI integration, design systems, and influencing stakeholders is critical. The preferred qualifications point towards specialized experience that would make a candidate stand out, particularly in AI product design.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing end-to-end ownership of complex design solutions, demonstrating your strategic thinking and execution capabilities.

• Case studies that clearly articulate the problem space, your design process, the insights that drove your decisions, and the measurable impact of your solutions.

• Examples of contributions to or utilization of design systems, illustrating your understanding of scalability and consistency.

• Prototypes or interactive elements that demonstrate your interaction design skills and the fidelity of your solutions. Process Documentation:

• Demonstrate a structured approach to design, from discovery and user research to ideation, prototyping, testing, and delivery, clearly outlining each phase.

• Showcase how you synthesize qualitative and quantitative data to inform design decisions, including examples of insight generation and actionable recommendations.

• Illustrate your experience with AI tools and how you integrate them into your design workflow to enhance efficiency and creativity.

• Provide evidence of collaboration with engineering and product teams, highlighting your ability to navigate technical constraints and partner effectively to ship high-quality products.

📝 Enhancement Note: For a Staff Product Designer role, the portfolio is paramount. It must not only showcase beautiful and functional design but also demonstrate strategic thinking, leadership in ambiguity, cross-functional collaboration, and measurable impact. The integration of AI into the design process needs to be a clear theme within the portfolio.

💵 Compensation & Benefits

Salary Range:

• The targeted hiring base salary range for this role in Canada is $147,600 - $184,500 CAD per year.

• This range is determined by factors such as experience, education, transferable skills, business needs, and location within Canada.

• The compensation structure may be adjusted over time and can include eligibility for variable pay, equity (RSUs), and comprehensive benefits. Benefits:

• Comprehensive health and wellness benefits.

• Bonus program.

• RSU equity programs.

• Global perks designed to support growth and well-being. Working Hours:

• A standard full-time work week is assumed, typically around 40 hours. However, the role's remote nature and the company's culture suggest flexibility may be available, with a focus on outcomes rather than strict hours.

📝 Enhancement Note: The salary range provided is specific to Canada, reflecting a senior-level compensation for a Staff Product Designer. The inclusion of bonus and RSU equity indicates a competitive total compensation package. The "global perks" suggest a comprehensive benefits offering that may vary by region but aims to support employees worldwide.

🎯 Team & Company Context

🏢 Company Culture

Industry: Online Education / EdTech / Skills Development Platform. Coursera operates in a rapidly evolving sector, particularly with the recent combination with Udemy, creating a significant player in the global skills development market. The focus on AI is a key differentiator and strategic imperative.

Company Size: Coursera, especially post-combination with Udemy, is a large, globally distributed organization with a significant employee base. This implies a structured environment with established processes but also opportunities for impact within a large entity.

Founded: Coursera was founded in 2012. The recent combination with Udemy signifies a new phase of growth and integration, aiming to accelerate AI-powered innovation and expand its comprehensive skills development platform.

Team Structure:

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

• This role implies working within a pod or a dedicated product area team, likely reporting to a Design Lead or Director.

• Cross-functional collaboration is a cornerstone, with designers expected to partner across multiple teams to shape platform-wide experiences. Methodology:

• Data-Driven Insights: Strong emphasis on synthesizing quantitative and qualitative user insights to inform design decisions and product strategy.

• User-Centered Design: A core philosophy focused on understanding learner and educator needs to create seamless and effective experiences.

• Agile Development: Likely operates within an agile framework, requiring designers to adapt to iterative development cycles and contribute throughout the product lifecycle.

• AI Integration: A strategic focus on leveraging AI in both product features and the design process itself.

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

📝 Enhancement Note: The company culture emphasizes innovation, customer-centricity, and a data-driven approach. The integration with Udemy and the strong focus on AI suggest a dynamic and forward-looking environment. The globally distributed nature of the team highlights the importance of strong communication and collaboration skills.

📈 Career & Growth Analysis

Operations Career Level: Staff Product Designer signifies a senior individual contributor role. This level is expected to operate with a high degree of autonomy, lead significant product initiatives, provide strategic design direction, and mentor junior and mid-level designers. It’s a key step towards principal-level design roles or design leadership.

Reporting Structure: This role likely reports to a Director of Product Design or a Head of Design, working within a product "pod" or dedicated product area team. The designer will collaborate extensively with Product Managers, Engineering Leads, and Researchers within their assigned area.

Operations Impact: The Staff Product Designer's work directly influences the user experience for millions of learners and customers, impacting key business metrics such as learner engagement, course completion rates, credential attainment, and customer satisfaction. Their strategic input shapes the platform's evolution, especially in the context of AI integration and the combined Coursera/Udemy offering.

Growth Opportunities:

• Strategic Leadership: Potential to lead design for larger, more complex product areas or initiatives, driving the overall design strategy for a significant part of the platform.

• Specialization: Deepen expertise in AI-driven product design, human-AI collaboration, or specific EdTech domains.

• Mentorship & Craft Advancement: Continue to mentor designers, contribute to design system evolution, and elevate the overall craft and quality of design output across teams.

• Path to Principal: For high performers, progression to Principal Product Designer or similar senior individual contributor roles, or a transition into design management.

📝 Enhancement Note: The Staff Product Designer role is a critical juncture for career growth, offering opportunities for strategic influence, specialized skill development in emerging areas like AI, and leadership in mentorship and craft. The impact on millions of users and the company's core mission is substantial.

🌐 Work Environment

Office Type: The company operates with a globally distributed team, indicating a hybrid or fully remote work environment. While specific office locations might exist, the emphasis is on enabling remote work.

Office Location(s): The role is open for hire in Canada, with the understanding that the team is globally distributed. This suggests a focus on asynchronous communication and virtual collaboration tools.

Workspace Context:

• Collaborative Digital Space: Expect a highly collaborative digital environment, relying on tools like Figma, FigJam, Slack, and video conferencing for interaction.

• Access to Tools: Provision of necessary design and collaboration software, including potentially specialized AI tools to support the design process.

• Cross-Functional Interaction: Frequent interaction with product managers, engineers, researchers, and data scientists, fostering a team-oriented approach to product development.

Work Schedule: While a standard 40-hour work week is typical, the remote nature and global distribution of the team may offer flexibility. The focus is on delivering results and collaborating effectively, which may require adjusting hours to accommodate different time zones for critical meetings or deadlines.

📝 Enhancement Note: The remote-first or remote-friendly nature of this role in Canada is a key aspect of the work environment. Candidates should be comfortable with asynchronous communication and virtual collaboration, with an emphasis on effective time management and proactive engagement across distributed teams.

📄 Application & Portfolio Review Process

Interview Process:

• Application & Portfolio Review: Initial screening will focus on your resume and, crucially, your portfolio. Ensure your portfolio clearly demonstrates your experience and impact, especially in complex problem-solving and end-to-end design ownership.

• Hiring Manager/Team Interview: A conversation with the hiring manager or a senior team member to discuss your experience, design philosophy, strategic thinking, and fit with the team's needs.

• Design Deep Dive/Workshop: A session where you'll likely present a case study from your portfolio in detail, discuss your process, rationale, and answer in-depth questions about your design decisions and impact. This may also involve a design exercise or collaboration simulation.

• Cross-Functional Collaboration Interview: An interview with stakeholders from Product, Engineering, or Research to assess your collaboration skills, communication style, and ability to influence across disciplines.

• Final Round/Executive Interview: Potentially a conversation with a senior leader (e.g., Head of Product Design, VP of Product) to evaluate strategic thinking, leadership potential, and alignment with company values.

Portfolio Review Tips:

• Curate Selectively: Choose 2-3 of your strongest, most relevant projects that showcase end-to-end ownership and significant impact. For this role, highlight projects involving complex problem spaces, strategic influence, and ideally, AI integration or EdTech/SaaS experience.

• Structure Your Case Studies: For each project, clearly define the problem, your role, the process you followed, key insights, design decisions and rationale, challenges overcome, and measurable outcomes. Quantify impact whenever possible.

• Highlight AI Integration: If applicable, clearly articulate how you used AI tools to enhance your design process (e.g., research synthesis, ideation, prototyping) and any experience designing AI-powered features.

• Demonstrate Strategic Thinking: Show how you connected user needs with business goals and how your design decisions supported the overall product strategy.

• Visual Clarity & Storytelling: Present your work visually and tell a compelling story that guides the reviewer through your thought process and impact.

Challenge Preparation:

• Anticipate Design Exercises: Be prepared for potential design challenges that assess your problem-solving skills, rapid ideation, and ability to translate requirements into solutions under time constraints.

• AI Scenario Planning: Consider how you would approach designing for AI-driven features or integrating AI into existing workflows, and be ready to discuss the ethical implications and user experience considerations.

• Stakeholder Communication: Practice articulating complex design concepts and rationale clearly and concisely, tailoring your communication to different audiences (e.g., engineers, product managers, executives).

📝 Enhancement Note: The interview process for a Staff Product Designer is rigorous, focusing on strategic thinking, deep design craft, cross-functional collaboration, and measurable impact. A well-prepared portfolio that highlights relevant experience, particularly with AI and complex problem-solving, is crucial for success.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core design and prototyping tool for UI design, wireframing, and collaboration.

• FigJam: For whiteboarding, ideation, workshop facilitation, and collaborative brainstorming.

• Design Systems: Experience with creating, contributing to, or heavily utilizing design systems for consistency and scalability.

• AI Tools: Proficiency in leveraging various AI tools for design tasks, such as:

  • Research Synthesis: AI for summarizing user feedback, identifying themes, and generating insights.
  • Ideation & Concept Generation: AI for brainstorming new ideas, exploring visual concepts, and generating variations.
  • Rapid Prototyping: AI-assisted tools for quickly generating functional prototypes or design mockups.
  • Content Generation: AI for drafting UI copy, microcopy, or explanatory text.

Analytics & Reporting:

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

• Ability to interpret data and A/B test results to inform design iterations. CRM & Automation:

• While not a direct CRM role, understanding how user data flows from CRM and other systems into the product experience is beneficial.

• Awareness of automation principles in product design and user flows.

📝 Enhancement Note: Figma and FigJam are explicitly mentioned as required tools. The emphasis on AI tools indicates a need for candidates to be familiar with the current landscape of AI-assisted design technologies. Understanding analytics is crucial for demonstrating the impact of design work.

👥 Team Culture & Values

Operations Values:

• Customer-First: A deep commitment to understanding and serving the needs of learners and educators, driving user-centric design decisions.

• Invent & Innovate: Encouraging creative problem-solving, embracing new technologies like AI, and pushing the boundaries of online education.

• Move Fast & Iterate: A culture that values rapid experimentation, learning from failures, and continuous improvement based on data and feedback.

• Simplify Ruthlessly: Focus on creating clear, intuitive, and elegant solutions for complex problems, cutting through unnecessary complexity.

• Data-Driven: Relying on data and insights to guide strategy, measure impact, and make informed decisions.

Collaboration Style:

• Cross-Functional Partnership: Highly collaborative approach, working closely with Product, Engineering, Research, and Data Science teams as integral partners in product development.

• Open Communication: Encouraging transparent and direct communication, with an emphasis on sharing rationale and constructive feedback.

• Mentorship & Knowledge Sharing: A culture that values peer-to-peer learning, mentorship, and the sharing of best practices to elevate the entire team's capabilities.

📝 Enhancement Note: The company values emphasize innovation, user focus, and a dynamic, iterative approach to product development. The collaborative style is essential for a distributed team working on complex platform-wide initiatives.

⚡ Challenges & Growth Opportunities

Challenges:

• Scaling Design in a Merged Entity: Navigating the complexities of integrating design systems, processes, and cultures from Coursera and Udemy while maintaining design quality and velocity.

• Designing for AI Ambiguity: Effectively designing for new AI-powered features where user behaviors and expectations are still emerging, requiring careful experimentation and user education.

• Balancing Strategic Vision with Execution: Leading design strategy for a major product area while ensuring hands-on execution and quality across the product lifecycle.

• Influencing Stakeholders: Effectively communicating complex design rationale and advocating for user needs among diverse cross-functional and senior stakeholders.

Learning & Development Opportunities:

• AI Design Expertise: Becoming a leader in designing AI-driven products and leveraging AI as a core part of the design toolkit.

• Strategic Product Leadership: Developing skills in shaping product strategy and influencing roadmaps at a senior level.

• Mentorship & Team Development: Growing leadership capabilities through mentoring junior designers and contributing to team process improvements.

• Industry Best Practices: Staying at the forefront of design trends, EdTech innovation, and AI advancements through continuous learning and professional development.

📝 Enhancement Note: The role presents significant challenges related to integration, AI product development, and strategic leadership, which are also ripe for substantial professional growth and skill development.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led the design vision and strategy for a complex product area. What was your process, and what was the outcome?" (Prepare to discuss your strategic approach, how you defined ambiguity, and measured success.)

• "How do you leverage AI in your design process to accelerate discovery, ideation, or prototyping? Provide specific examples." (Be ready to discuss your practical experience with AI tools and your judgment on their application.)

• "Walk us through a significant product challenge you tackled. How did you synthesize user and business insights to arrive at your solution, and what was the impact?" (Focus on your problem-solving methodology, data synthesis, and quantifiable results.) Company & Culture Questions:

• "What interests you about Coursera's mission, especially in the context of the recent combination with Udemy and the focus on AI?" (Research Coursera's mission, recent news, and express genuine interest.)

• "How do you approach mentoring other designers, and what do you believe makes for a strong design culture?" (Discuss your mentoring philosophy and your understanding of positive team dynamics.)

• "How do you ensure inclusivity and accessibility in your designs, especially when working with emerging technologies like AI?" (Demonstrate your commitment to inclusive design principles.) Portfolio Presentation Strategy:

• Tell a Story: Frame your case studies as narratives, guiding the interviewer through the problem, your journey, and the impact.

• Focus on Impact & Rationale: Emphasize the "why" behind your decisions and the measurable outcomes achieved. Quantify impact whenever possible.

• Showcase AI Integration: Clearly articulate how AI tools were used and what value they brought to your process or the final product.

• Be Prepared for Deep Dives: Expect detailed questions about your process, design decisions, and technical considerations. Be ready to discuss trade-offs and alternative solutions.

• Engage and Listen: Treat the portfolio review as a collaborative conversation, asking clarifying questions and actively listening to feedback.

📝 Enhancement Note: Preparation for this role should focus on demonstrating strategic thinking, hands-on design expertise, proficiency with AI tools, and strong cross-functional collaboration skills. The portfolio presentation is a critical component, requiring clear storytelling and a focus on impact.

📌 Application Steps

To apply for this Staff Product Designer position:

• Submit your application through the Coursera careers portal.

• Portfolio Customization: Tailor your portfolio to highlight 2-3 of your strongest projects that demonstrate end-to-end ownership of complex problems, strategic thinking, and measurable impact. Specifically, showcase any experience with AI integration in design or product development, and EdTech/SaaS platforms.

• Resume Optimization: Ensure your resume clearly articulates your 7-9 years of experience, emphasizing achievements related to design leadership, strategy, cross-functional collaboration, and proficiency in required tools like Figma. Use keywords from the job description.

• Interview Preparation: Practice articulating your design process, rationale, and impact for your portfolio case studies. Prepare to discuss how you use AI in design and how you would approach designing for AI-driven products. Rehearse answers to common behavioral and situational questions.

• Company Research: Deeply research Coursera's mission, its recent merger with Udemy, its focus on AI, and its position in the EdTech market. Understand their user base (learners, educators, enterprises) and their strategic goals.

⚠️ 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.