Staff UX Designer

📍 Job Overview

Job Title: Staff UX Designer

Company: Caseware

Location: Toronto, ON, Canada

Job Type: Full-time

Category: User Experience (UX) Design

Date Posted: 2026-09-03

Experience Level: 8+ years

Remote Status: Hybrid (3 days in office)

🚀 Role Summary

• Lead the design of complex and ambiguous product areas within Caseware's audit, financial reporting, and data analytics solutions, setting a high bar for design craft and AI-assisted innovation.

• Develop and implement AI-native interaction patterns, including agentic-driven and conversational UI, intelligent defaults, and predictive interfaces, ensuring user control and trust.

• Drive the entire design process from problem framing to implementation, producing functional prototypes that engineering can build from, leveraging AI tools to accelerate development and validate assumptions.

• Shape product strategy by integrating design thinking into roadmap discussions, defining user journeys for accounting professionals, and ensuring AI-assisted outputs meet design system and accessibility standards.

📝 Enhancement Note: This role is positioned as a "Staff" level designer, indicating a need for significant autonomy, strategic influence, and the ability to mentor others. The emphasis on AI-assisted making and defining new design paradigms suggests this is a forward-thinking role aimed at shaping the future of UX within the FinTech/Accounting software industry.

📈 Primary Responsibilities

• Own the end-to-end design process for critical and ambiguous product areas within Caseware's suite of audit, financial reporting, and data analytics solutions.

• Design and advocate for innovative AI-native interaction patterns, including agentic systems, conversational UIs, and predictive interfaces, focusing on user trust and control.

• Develop comprehensive user journey maps that illustrate how AI capabilities will transform the audit and financial reporting workflows from planning to review.

• Create and maintain working prototypes that directly inform engineering development, utilizing AI tools to expedite the creation and testing of design solutions.

• Lead strategic user research initiatives to address key uncertainties in product development and synthesize findings rapidly with AI assistance.

• Collaborate closely with Product Management and Engineering leadership to influence product roadmaps, scope definition, and ensure design considerations are integrated early.

• Contribute to and elevate Caseware's design system, ensuring consistency, quality, and adherence to accessibility standards for all AI-generated components.

• Mentor and guide other designers, sharing expertise on complex problems and translating insights into reusable team practices.

• Actively participate in design critiques, fostering a culture of continuous learning and staying abreast of advancements in UX practice, AI tooling, and the accounting software industry.

• Lead cross-team design initiatives, proactively identifying risks and building consensus without formal authority.

📝 Enhancement Note: The responsibilities highlight a senior-level individual contributor role that requires not only strong design execution but also strategic influence, leadership in emerging technologies (AI), and a proactive approach to problem-solving and team development. The emphasis on "designing against over-trust" is a critical nuance for roles involving AI in regulated industries.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Design, Computer Science, or a related field is typically expected for roles of this seniority, providing a strong theoretical foundation.

Experience: Minimum of eight years of progressive experience in User Experience (UX) Design or a closely related field, with a demonstrated history of tackling complex product challenges.

Required Skills:

• Extensive experience in User Experience (UX) Design, with a portfolio showcasing deep work on complex product problems and clear decision-making under ambiguity.

• Proven track record of designing at the user journey level within complex, regulated, or data-heavy domains.

• Demonstrated enthusiasm and practical experience working at the intersection of design craft and AI-assisted making.

• Familiarity with AI-assisted design tools and processes, with a strong ability to evaluate and refine generated output.

• Experience designing AI-native interaction patterns, such as conversational or predictive interfaces, or a well-defined perspective on designing for transparency, accountability, and user trust.

• Proficiency in Figma, including experience contributing to and leveraging component-based design systems.

• Strong understanding of accessibility standards and the ability to assess AI-generated components against them.

• Experience leading user research agendas, conducting studies, and synthesizing findings to resolve strategic uncertainty.

• Ability to influence product strategy and scope by collaborating with Product and Engineering leadership.

• Experience mentoring senior designers and driving team-wide adoption of design practices.

• Excellent communication and collaboration skills, with the ability to build agreement and lead initiatives without formal authority. Preferred Skills:

• Knowledge of the accounting, audit, or financial services industries.

• Prior experience designing for AI-powered or conversational product features.

• Familiarity with AI tools such as Claude Code and Replit, beyond just evaluation.

• Experience with prototyping tools beyond Figma, or a strong understanding of how to translate designs into functional prototypes.

• Experience working with Angular UI frameworks for implementation reference.

📝 Enhancement Note: The emphasis on "depth" in the portfolio and the ability to mentor experienced designers suggests this role is for a seasoned professional who can guide complex projects and elevate the skills of their peers. The focus on AI tools like Figma Make, Claude Code, and Replit indicates a desire for candidates who are not just users but innovators in leveraging these technologies.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A portfolio demonstrating a deep dive into complex product challenges, detailing the design decisions made under ambiguity, and showcasing how your work provided direction for others.

• Case studies that highlight your ability to design at the user journey level, particularly within regulated or data-intensive environments where clarity is paramount.

• Examples of how you have designed or evaluated AI-native interaction patterns, emphasizing user trust, accountability, and transparency.

• Evidence of your contribution to design systems, including examples of reusable components and how you ensured consistency and quality.

• Demonstrations of your prototyping capabilities, preferably showing how you produced working prototypes that informed engineering development, potentially using AI tools.

• Documentation of strategic research initiatives you led, including how you defined research questions and synthesized findings to drive product decisions. Process Documentation:

• Showcase your approach to problem framing and defining scope for complex product areas, illustrating how you bring design into early roadmap discussions.

• Detail your methodology for designing AI-assisted workflows, including considerations for human oversight, agentic behavior, and user control.

• Provide examples of how you have translated high-level requirements into actionable design work for engineering teams.

• Illustrate your process for contributing to and maintaining design systems, ensuring alignment with accessibility and component standards.

📝 Enhancement Note: The portfolio requirements are heavily geared towards demonstrating strategic thinking, experience with complex systems, and a proactive approach to innovation, particularly concerning AI. Candidates should be prepared to articulate their design process in detail, emphasizing how they navigate ambiguity and drive tangible outcomes.

💵 Compensation & Benefits

Salary Range: $120,000 - $130,000 CAD per year.

Benefits:

• Comprehensive health insurance coverage.

• Retirement savings plans.

• Eligibility for discretionary bonus and/or commission.

• Flexible work options and generous time-off policies.

• Opportunities for career growth and professional development.

• Recognition programs and performance-based rewards.

Working Hours: Standard full-time hours, likely around 40 hours per week, with a hybrid arrangement requiring 3 days per week in the Toronto office.

📝 Enhancement Note: The salary range provided is specific to Toronto, Ontario, Canada. This range is competitive for a Staff UX Designer role with 8+ years of experience, especially in the FinTech sector, and aligns with industry benchmarks for senior design talent in major Canadian tech hubs. The inclusion of bonus/commission potential indicates performance-based incentives.

🎯 Team & Company Context

🏢 Company Culture

Industry: FinTech / Accounting Software. Caseware is a pioneer in this space, having operated for over 30 years and serving a global market of accounting and audit professionals. Their focus is on audit, financial reporting, and data analytics solutions.

Company Size: While not explicitly stated in the provided text, the company's reach (500,000+ users in 130+ countries) suggests a substantial organization, likely mid-to-large size, with significant resources and a global presence. The mention of a strategic investment from Hg Capital in 2020 indicates a phase of significant growth and investment.

Founded: Over 30 years ago, making Caseware a well-established player with deep domain expertise.

Team Structure:

• The UX Design Team is actively innovating, integrating new tools like Figma Make, Claude Code, and Replit.

• This role involves close collaboration with Product, Engineering, and Design leadership.

• The structure likely involves a design leadership overseeing multiple designers, with this Staff UX Designer acting as a senior individual contributor and mentor.

• Cross-functional collaboration is emphasized, with designers working alongside Product Managers and Engineers to shape strategy and scope. Methodology:

• Emphasis on AI-assisted making and integrating cutting-edge AI tools into everyday design practice.

• User-centered design principles are foundational, with a focus on understanding complex user journeys in regulated industries.

• Design is integrated early into product development, influencing roadmaps and scope.

• A strong focus on producing working prototypes that directly inform engineering.

• Commitment to a design system and accessibility standards.

• Data-driven decision-making, leveraging user research and AI for synthesis.

Company Website: [Company URL provided as null, but typically caseware.com]

📝 Enhancement Note: Caseware's long history in FinTech, combined with its current investment in AI and innovation, presents a unique environment. The company is looking for designers who can bridge established industry needs with future-forward technology, particularly in the realm of AI-driven tools for accounting professionals.

📈 Career & Growth Analysis

Operations Career Level: Staff UX Designer. This level signifies a senior individual contributor role with significant autonomy, strategic influence, and the ability to mentor peers. It's a position where one is expected to tackle the most challenging and ambiguous problems, set design direction, and contribute to the evolution of design practices and tooling within the company.

Reporting Structure: The role reports to Design leadership and works closely with Product and Engineering teams. This suggests a collaborative, matrixed environment where influence is key. The Staff Designer is expected to mentor other designers, indicating a leadership capacity even as an individual contributor.

Operations Impact: This role has a direct impact on the usability, efficiency, and user experience of Caseware's core products, which are used by hundreds of thousands of accounting and audit professionals globally. By designing AI-native interactions and optimizing complex workflows, the designer will influence how professionals conduct their work, enhancing productivity and confidence. The work will also shape the future of design practices within Caseware, particularly around AI integration.

Growth Opportunities:

• Specialization: Deepen expertise in AI-assisted design, conversational UI, and designing for regulated industries.

• Leadership: Transition into a Design Lead or Manager role, or become a recognized expert/principal designer within the organization.

• Skill Development: Continuous learning in emerging AI design tools and methodologies, and advanced user research techniques.

• Strategic Influence: Take on larger, more complex product initiatives, influencing product strategy and company-wide design standards.

• Mentorship: Formalize mentorship of junior and senior designers, contributing to the growth of the design team.

📝 Enhancement Note: The "Staff" title implies a career path that emphasizes deep technical expertise and strategic impact rather than direct people management, though mentorship is a key component. Growth opportunities are likely tied to increasing scope, complexity, and influence within the design and product development organization.

🌐 Work Environment

Office Type: Hybrid. The role requires 3 days per week in the Toronto office, suggesting a collaborative in-office environment balanced with remote flexibility.

Office Location(s): 351 King St E Suite 1100, Toronto, ON. This is a central downtown location, likely in a modern office building.

Workspace Context:

• The office environment is expected to be collaborative, supporting the hybrid work model.

• The design team is actively integrating and experimenting with AI tools like Figma Make, Claude Code, and Replit, indicating access to modern design technology.

• Opportunities for interaction with product managers, engineers, and other designers, fostering knowledge sharing and cross-functional alignment.

• The company emphasizes a "Many Voices, One Team" culture, promoting inclusivity and diverse perspectives.

Work Schedule: Standard full-time hours, with flexibility often associated with hybrid roles, allowing for effective management of both in-office and remote work days. The focus on AI-assisted making suggests a dynamic workflow that can adapt to individual productivity peaks.

📝 Enhancement Note: The hybrid model in a prime Toronto location suggests a company that values both in-person collaboration and employee flexibility. The integration of advanced AI tools indicates a forward-thinking and tech-savvy workplace.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a review of your resume and portfolio by a recruiter or hiring manager to assess basic qualifications and fit.

• Portfolio Presentation & Design Challenge: A key stage will involve presenting your portfolio, detailing your design process, decision-making, and impact on past projects, particularly those involving complexity or AI. You may be given a design challenge related to Caseware's domain or AI integration.

• Team/Stakeholder Interviews: Interviews with Design leadership, Product Managers, and Engineers to assess collaboration skills, strategic thinking, technical proficiency, and cultural fit.

• Final Interview: Potentially with a senior leader to discuss overall fit and long-term vision.

Portfolio Review Tips:

• Focus on Depth: Emphasize your most complex and ambiguous projects. Clearly articulate the problem, your specific role, the design decisions you made, the rationale behind them (especially concerning AI integration), and the measurable outcomes or impact.

• Showcase AI Integration: Highlight any experience with AI-assisted design tools, your thought process in evaluating AI-generated output, and how you ensured user-centered outcomes. If you don't have direct AI experience, articulate your approach to learning and adapting to new AI tools and methodologies.

• Journey Design: Clearly present how you approach designing entire user journeys, not just isolated features, especially in complex, regulated domains.

• Prototyping: Demonstrate your ability to create functional prototypes that engineering can use, showcasing your skills with tools like Figma and potentially your approach to using AI for rapid prototyping.

• Mentorship Examples: If possible, include examples or discuss your approach to mentoring other designers, demonstrating your leadership potential.

• Tailor to Caseware: Research Caseware's products and target users (accounting professionals). Frame your case studies to show how your skills can address their specific needs and challenges, particularly with the integration of AI.

Challenge Preparation:

• Domain Research: Familiarize yourself with accounting, audit, and financial reporting software. Understand the core tasks and pain points of accounting professionals.

• AI Design Principles: Refresh your understanding of designing AI-native interactions, ethical considerations for AI, and ensuring user trust and control in AI-assisted workflows.

• Problem-Solving Framework: Be prepared to articulate your systematic approach to solving design problems, from research and ideation to prototyping and iteration.

• Communication: Practice clearly articulating your design rationale, trade-offs, and the potential impact of your solutions.

📝 Enhancement Note: The interview process will heavily scrutinize your portfolio and your ability to articulate your strategic thinking, especially regarding AI. Demonstrating a proactive, problem-solving mindset and a deep understanding of user journeys in regulated industries will be key.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Core tool for UI/UX design and prototyping. Proficiency is essential.

• Figma Make: Specifically mentioned for AI-assisted making, indicating a need for experience or a strong willingness to learn and leverage this capability.

• Replit: A collaborative online IDE used for coding and potentially for prototyping or testing AI-generated code snippets.

• Claude Code: An AI coding assistant, suggesting an expectation for designers to work with or understand code generation and integration.

Analytics & Reporting:

• User Research Platforms: Essential for conducting studies and gathering user feedback.

• Data Analytics Tools: Implied by the company's focus on data analytics solutions, requiring an understanding of how design impacts data insights.

CRM & Automation:

• Jira: Project management and issue tracking, common in software development workflows.

• Confluence: Documentation and knowledge sharing platform.

• Microsoft Teams: Collaboration and communication tool.

Design Systems:

• Proficiency with contributing to and leveraging component-based design systems.

• Familiarity with Angular UI framework and components for implementation reference.

📝 Enhancement Note: The explicit mention of Figma, Replit, and Claude Code highlights Caseware's commitment to AI-assisted design workflows. Candidates should be prepared to discuss their experience or approach to using these tools and how they integrate AI into their design process. Understanding how design connects with engineering workflows (Jira, Angular) is also crucial.

👥 Team Culture & Values

Operations Values:

• Innovation & Cutting-Edge Technology: A core value, evident in their work with AI and pushing boundaries in accounting software.

• Collaboration & Knowledge Sharing: Fostering a supportive, inclusive team environment where ideas are valued and shared.

• Work-Life Balance: Commitment to flexible work options, remote opportunities, and generous time-off policies.

• Impactful Work: Ensuring contributions directly affect client success and the future of financial processes.

• Recognition & Rewards: Celebrating hard work through programs, bonuses, and growth opportunities.

• Global Opportunities: Embracing international projects and diverse teams.

• Many Voices, One Team: A core value emphasizing diversity, equity, and inclusion.

Collaboration Style:

• Cross-functional Integration: Designers work closely with Product and Engineering to shape strategy and scope from the outset.

• Design System Centric: Emphasis on a unified design language and component-based approach.

• Mentorship-Driven: A culture where experienced designers guide and elevate the skills of others.

• Open to Experimentation: Actively integrating and exploring new AI tools and design methodologies.

📝 Enhancement Note: Caseware emphasizes a balance between innovation and employee well-being. The "Many Voices, One Team" value is particularly important, indicating a commitment to building diverse and inclusive teams where all members feel valued and empowered to contribute.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: Tackling the most complex and undefined product areas, requiring strong problem-framing skills.

• Integrating AI Responsibly: Designing AI-native interactions that are helpful, trustworthy, and maintain user control in a regulated industry. Balancing speed/automation with user-centered outcomes.

• Shaping Future of Design: Defining new design paradigms and processes for AI-assisted making within Caseware.

• Cross-Team Alignment: Leading design initiatives across multiple teams without formal authority, building consensus and driving adoption.

• Mentoring Senior Designers: Providing guidance and support to experienced peers on complex challenges.

Learning & Development Opportunities:

• AI Design Specialization: Gaining deep expertise in designing for AI, including agentic systems and conversational interfaces.

• Industry Acumen: Developing a strong understanding of the accounting, audit, and financial reporting domains.

• Leadership Skills: Enhancing skills in strategic influence, mentorship, and leading cross-functional initiatives.

• Tool Proficiency: Mastering advanced features of Figma and exploring new AI design and prototyping tools.

• Design System Evolution: Contributing to the growth and refinement of Caseware's design system.

📝 Enhancement Note: The role presents a significant opportunity to be at the forefront of AI integration in enterprise software design. Candidates will face challenges in defining new best practices and balancing innovation with the critical needs of professional users in a regulated field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you tackled a highly ambiguous product area. How did you frame the problem, and what was your design process?" (Focus on your structured approach to ambiguity and how you sought clarity.)

• "How would you design an AI feature for auditors that balances automation with the need for human oversight and accountability? What are the key design considerations for trust?" (Prepare to discuss concepts like transparency, control, AI confidence scores, and human-in-the-loop mechanisms.)

• "Caseware is integrating AI-assisted making tools. How would you ensure that AI-generated designs meet our component and accessibility standards before they are implemented?" (Focus on your process for evaluating and refining AI outputs, and your understanding of design systems and accessibility.) Company & Culture Questions:

• "What interests you about Caseware and our mission to serve accounting professionals with innovative software?" (Research Caseware's products, market position, and recent investments.)

• "How do you approach collaborating with Product Managers and Engineers, especially when influencing scope and strategy early on?" (Highlight your experience in cross-functional teamwork and advocating for design.)

• "Given our 'Many Voices, One Team' value, how do you contribute to building an inclusive and collaborative design environment?" (Share examples of how you foster diverse perspectives and teamwork.) Portfolio Presentation Strategy:

• Structure: Organize your presentation logically, starting with the problem and your role, then detailing your process, key design decisions (especially those involving AI or complex trade-offs), and finally, the impact and outcomes.

• Storytelling: Frame each case study as a narrative. Explain the "why" behind your decisions, not just the "what."

• AI Focus: If you have AI experience, highlight it. If not, articulate your learning process and your perspective on the opportunities and challenges of AI in design. Be prepared to discuss how you would approach using tools like Figma Make, Claude Code, or Replit.

• Metrics: Quantify impact whenever possible. If direct metrics aren't available, discuss how you would measure success or what qualitative feedback you gathered.

• Prototyping: Be ready to walk through interactive prototypes and explain how they informed development.

📝 Enhancement Note: Be prepared to discuss your experience with AI tools and methodologies in depth, even if it's theoretical. The company is clearly prioritizing candidates who are forward-thinking and can help shape their AI design strategy.

📌 Application Steps

To apply for this Staff UX Designer position:

• Submit your application through the provided application link on Lever.co.

• Curate Your Portfolio: Select 3-4 of your most relevant projects that showcase your experience with complex product areas, journey design, and ideally, any work or thoughts on AI-assisted design. Ensure your portfolio clearly articulates your problem-solving process, design decisions, and impact.

• Tailor Your Resume: Highlight your 8+ years of UX design experience, specifically mentioning work in regulated or data-heavy domains, your proficiency with Figma, and any exposure to AI tools or concepts. Use keywords from the job description.

• Prepare Your Presentation: Practice presenting your portfolio, focusing on clear storytelling, articulating your design rationale, and being ready to discuss your approach to AI integration and mentorship.

• Research Caseware: Understand their products, target audience (accounting professionals), and their stated values, especially regarding innovation, AI, and their "Many Voices, One Team" culture.

⚠️ 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.