Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer, AI Experiences

Company: MYOB

Location: Brisbane, Australia

Job Type: Fixed Term

Category: Product Design / UX Design / AI Experience Design

Date Posted: 2026-06-23

Experience Level: 5-10 Years

Remote Status: Hybrid

🚀 Role Summary

• Spearhead the design of AI-enabled workflows that enhance user efficiency in accounting, banking, and business operations.

• Drive end-to-end product design processes, from initial discovery and experimentation to final delivery and iteration.

• Translate complex artificial intelligence capabilities into intuitive, trustworthy, and user-friendly experiences.

• Define the presence and application of AI within MYOB's product ecosystem, contributing to shared AI design patterns.

• Elevate the standards of quality and responsibility for AI-led experiences across the broader design team.

📝 Enhancement Note: This role is specifically focused on the application of AI within product design, requiring a blend of traditional UX skills with a deep understanding of AI capabilities and responsible implementation. The "AI Experiences" in the title and description clearly demarcates this specialization.

📈 Primary Responsibilities

• Lead the design and development of AI-powered features and automated workflows for core MYOB services, focusing on simplifying complex accounting, banking, and business operational tasks for customers.

• Conduct comprehensive user research, discovery, and experimentation to identify opportunities for AI integration and validate design concepts.

• Create high-fidelity prototypes and detailed design specifications for AI-driven features, ensuring seamless integration with existing MYOB products and design systems.

• Collaborate closely with Product Managers, Engineers, and Data Scientists to understand AI model capabilities, navigate technical constraints, and ensure the feasibility of proposed designs.

• Champion responsible AI principles, ensuring designs promote transparency, build user trust, and offer appropriate levels of user control over automated processes.

• Contribute to the development and maintenance of shared AI design patterns and guidelines to ensure consistency and scalability across MYOB's product portfolio.

• Facilitate design thinking sessions, workshops, and reviews to effectively communicate design rationale, gather feedback, and influence product strategy.

• Continuously iterate on AI-driven user experiences based on user feedback, performance metrics, and evolving AI technology.

📝 Enhancement Note: The responsibilities are framed around the end-to-end product design lifecycle, with a strong emphasis on the unique challenges and opportunities presented by AI integration. The need to collaborate with data scientists and engineers highlights the technical depth required.

🎓 Skills & Qualifications

Education: Tertiary qualification in UX Design, Human-Computer Interaction (HCI), Cognitive Science, Psychology, or equivalent professional experience.

Experience: 5-10 years of demonstrated experience in product design, with a significant focus on designing and shipping AI-powered, automated, or data-driven products.

Required Skills:

• Proven experience in designing and delivering AI-powered or highly automated products to market.

• Advanced interaction design and systems thinking skills, specifically for complex, non-linear, or data-intensive workflows.

• Full-cycle product design experience, encompassing discovery, experimentation, prototyping, and delivery.

• Strong collaboration skills with product management, engineering, and data science teams to manage trade-offs and constraints effectively.

• Solid understanding of responsible AI principles, including transparency, user trust, ethical considerations, and appropriate levels of automation.

• Excellent communication, presentation, and facilitation skills, with the ability to articulate design rationale and influence stakeholders.

• Proficiency in Figma and experience working with and contributing to design systems.

• Experience working within Agile product development teams.

• Demonstrated curiosity and understanding of AI, automation, and emerging technologies, and their impact on user experience. Preferred Skills:

• Experience with specific AI/ML concepts relevant to user experience (e.g., recommendation engines, natural language processing interfaces, predictive analytics visualization).

• Familiarity with user research methodologies for AI-driven products.

• Experience in financial services or business software domains.

• Ability to mentor junior designers and contribute to design team growth.

📝 Enhancement Note: The experience level is inferred from "Senior Product Designer" and the typical progression for roles involving complex AI systems. The skills listed are directly extracted or logically inferred from the job description's emphasis on AI, automation, and end-to-end design.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 case studies demonstrating the end-to-end design process for AI-powered, automated, or data-driven products.

• Clearly articulate your role and contributions in each project, highlighting problem definition, user research, ideation, prototyping, user testing, and final implementation.

• For each case study, emphasize how you translated complex AI capabilities or data insights into intuitive and user-friendly experiences.

• Include examples of how you addressed challenges related to user trust, transparency, and control within AI-driven workflows.

• Demonstrate systems thinking by illustrating how your designs integrate with broader product ecosystems or complex workflows. Process Documentation:

• Explain your approach to user discovery and problem definition, particularly in ambiguous AI problem spaces.

• Detail your methodology for user research, experimentation, and validation of AI-driven design concepts.

• Provide examples of your prototyping and iterative design process, illustrating how you refined AI experiences based on feedback.

• Showcase your ability to collaborate with cross-functional teams (Product, Engineering, Data Science) to navigate technical constraints and ensure design feasibility.

• Illustrate your understanding of responsible AI principles and how you incorporated them into your design process and outcomes.

📝 Enhancement Note: Portfolio requirements for a senior AI-focused design role would naturally emphasize case studies demonstrating experience with complex, data-driven, or AI-enabled products and a clear articulation of the design process and problem-solving approach.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior Product Designers in Brisbane, Australia, with specialized AI experience, a competitive salary range would typically fall between AUD $130,000 - $180,000 per annum. This estimate considers the seniority of the role, the specialized AI focus, and the cost of living in Brisbane.

Benefits:

• Flexible, hybrid workplace model promoting work-life balance.

• Financial assistance for setting up a home office.

• Access to corporate discounts and vouchers from various retailers.

• Comprehensive wellbeing support through partnership with Sonder.

• Opportunities for professional development including in-house training, LinkedIn Learning, conference attendance, and study assistance.

• Generous leave options, including:

  • Up to four weeks of purchased leave.
  • Generous parental leave.
  • Specialized leave: Domestic Violence Leave, Transgender Leave, Community Leave, Study Leave.

• Membership in company communities focused on Wellness, Belonging, and the Planet.

Working Hours: While specific hours are not stated, a standard full-time role in Australia typically involves 38-40 hours per week. The hybrid nature of the role suggests flexibility in daily scheduling, allowing for potential adjustments around core business hours.

📝 Enhancement Note: Salary range is an estimate based on typical Senior Product Designer roles in Australia, adjusted for the specialized AI experience and the Brisbane location. Benefits are directly extracted from the provided text.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software / Business Management Solutions / Financial Technology (FinTech)

Company Size: MYOB is a significant player in the Australian and New Zealand business software market. Based on typical company classifications and MYOB's established presence, it likely falls into the 'Large Enterprise' category (1,000+ employees). This size implies a structured environment with established processes, but also opportunities for impact.

Founded: MYOB was founded in 1991, indicating a long history and deep understanding of the business management software landscape. This longevity suggests stability and a mature product offering.

Team Structure:

• The role likely sits within a broader Product Design or UX team, which may be further organized by product area or domain (e.g., Accounting, Banking, Business Operations).

• As a Senior Designer, you would likely report to a Design Lead, Head of Design, or Product Design Manager.

• This role emphasizes close collaboration with Product Managers, Engineers, and Data Scientists, forming a core cross-functional team for AI initiatives. Methodology:

• MYOB's approach to product development likely involves Agile methodologies, with a focus on iterative development and continuous improvement.

• The emphasis on "reimagining" services and using "intelligence, automation, and human judgment" suggests a data-driven and user-centric approach to innovation.

• Design processes will likely incorporate user research, experimentation, prototyping, and feedback loops to ensure AI-enabled workflows are effective and trustworthy.

Company Website: https://www.myob.com

📝 Enhancement Note: Company size and founding date are inferred from the company's market position and the general knowledge of MYOB as a long-standing business software provider. The description of the role and its collaborations provides insight into the team structure and methodology.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Product Designer role, indicating a significant level of expertise and autonomy. It's a hands-on position focused on individual contribution and design leadership within specific AI initiatives, rather than direct people management. The role requires not only design execution but also strategic input into how AI should manifest in products.

Reporting Structure: The Senior Product Designer will likely report to a Design Manager or Lead, working within a dedicated product squad that includes Product Managers, Engineers, and Data Scientists. This structure fosters close collaboration and shared ownership of product outcomes.

Operations Impact: The role has a direct impact on MYOB's core mission of helping businesses succeed by making critical tasks easier through AI. This translates to enhanced customer acquisition, retention, and overall customer satisfaction, directly influencing business performance by reducing customer effort and improving operational efficiency for their clients.

Growth Opportunities:

• Specialization: Deepen expertise in AI Experience Design, becoming a go-to expert within MYOB for this critical and evolving field.

• Leadership: Transition into a Design Lead role, mentoring other designers, and taking on more strategic product vision responsibilities.

• Cross-functional Influence: Expand influence across product strategy and technology roadmaps by contributing to the foundational understanding and application of AI across MYOB.

• Industry Recognition: Contribute to thought leadership by sharing insights on responsible AI design within the broader tech and design community.

📝 Enhancement Note: Career level and growth opportunities are inferred from the "Senior" title and the specialized, forward-looking nature of AI design work within a large tech company.

🌐 Work Environment

Office Type: MYOB offers a hybrid workplace, suggesting a combination of remote work and in-office collaboration. The offices are described as "centrally located" and provide spaces for in-person celebrations and social events. This indicates a modern, flexible office environment designed to foster connection and collaboration.

Office Location(s): The role is based in Brisbane, Australia, with the implication that the office is conveniently located within the city.

Workspace Context:

• The hybrid model allows for focused, individual work at home, complemented by collaborative sessions, brainstorming, and team building in the office.

• The office environment is designed to support team interaction, potentially featuring open collaborative spaces, meeting rooms, and areas for social engagement.

• Access to design tools and technologies, including Figma and design systems, will be standard.

Work Schedule: A hybrid work arrangement typically allows for flexibility in daily schedules, provided core business hours and team meeting times are met. This flexibility is beneficial for designers who need focused blocks of time for deep work and creative problem-solving.

📝 Enhancement Note: The "hybrid workplace" and "centrally located offices" are directly from the description, providing context for the work environment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and resume, likely focusing on your experience with AI-powered products and your portfolio.

• Portfolio Presentation & Discussion: You will likely be asked to present 1-2 key case studies from your portfolio, detailing your process, challenges, and outcomes, with a specific focus on AI-driven design. This will be followed by in-depth questions about your approach to AI ethics, user trust, and complex systems.

• Cross-functional Interviews: Interviews with Product Managers, Engineers, and Data Scientists to assess your collaboration skills, technical understanding, and ability to work effectively in a multidisciplinary team.

• Hiring Manager/Design Lead Interview: A final discussion to assess cultural fit, leadership potential, and alignment with MYOB's design vision and values.

Portfolio Review Tips:

• Focus on AI Impact: Select case studies that clearly demonstrate your ability to design for AI, automation, or data-driven products. Highlight how you translated complex AI concepts into tangible user benefits.

• Show, Don't Just Tell: Use visuals, prototypes, and user flows to illustrate your design process and the evolution of your solutions.

• Quantify Results: Where possible, include metrics that demonstrate the positive impact of your designs on user behavior, efficiency, or business outcomes.

• Address Responsible AI: Be prepared to discuss your approach to ethical considerations, transparency, and user trust in AI design.

• Structure for Clarity: Organize your case studies logically, clearly defining the problem, your role, your process, your solutions, and the outcomes.

Challenge Preparation:

• Expect a design challenge that may involve a hypothetical AI-related problem or a task requiring you to design a workflow for a complex business process.

• Focus on demonstrating your problem-solving approach, systems thinking, and ability to articulate design decisions clearly.

• Be ready to discuss trade-offs, constraints, and how you would collaborate with a cross-functional team to deliver a solution.

• Practice presenting your work concisely and responding to critical feedback effectively.

📝 Enhancement Note: The interview process and portfolio review tips are based on standard practices for senior design roles, particularly those with a specialization in AI, and are tailored to the specific requirements mentioned in the job description.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, prototyping, and collaborative workflows. Proficiency is a core requirement.

• Design Systems: Experience working with and contributing to design systems is expected, ensuring consistency and scalability across MYOB's products.

• Prototyping Tools: While Figma is primary, familiarity with other prototyping tools (e.g., InVision, Principle) may be beneficial for specific use cases.

Analytics & Reporting:

• While not explicitly stated, designers in this role will likely interact with analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude) to understand user behavior and inform design decisions.

• Familiarity with data visualization tools and principles is advantageous for interpreting user data and presenting findings. CRM & Automation:

• Understanding of CRM systems (like Salesforce, though MYOB may use its own or others) and marketing automation principles can be helpful for context, especially when designing workflows that interact with business operations.

• Experience with tools that facilitate workflow automation and process optimization within design is a plus.

📝 Enhancement Note: Specific tools are mentioned (Figma, Design Systems). Other tools are inferred based on the general needs of a product designer working on complex, data-driven, and AI-enabled products within a tech company.

👥 Team Culture & Values

Operations Values:

• Customer Focus: A strong commitment to helping businesses start, survive, and succeed, ensuring that all design decisions ultimately serve the needs of MYOB's customers.

• Collaboration: Encouraging opinions to be valued and ideas to make a difference, fostering a collaborative environment where diverse perspectives contribute to better outcomes.

• Innovation & Impact: Driving the future of work by leveraging AI and automation to solve complex problems and create significant value for businesses.

• Responsibility & Trust: Upholding principles of responsible AI, ensuring transparency, user trust, and ethical considerations are paramount in all AI-led experiences.

• Growth & Learning: Supporting employees in their professional development through continuous learning, training, and opportunities to explore new technologies like AI.

Collaboration Style:

• Cross-functional Synergy: A highly collaborative approach, working in integrated teams with Product Managers, Engineers, and Data Scientists to co-create solutions.

• Open Communication: Encouraging open dialogue and feedback to navigate complex technical and design challenges.

• User-Centric Iteration: A culture that values iterative design, leveraging user feedback and data to continuously refine and improve AI-driven experiences.

• Shared Ownership: Fostering a sense of shared ownership for product success among all team members.

📝 Enhancement Note: MYOB's stated values and culture points from the description are integrated here, with specific relevance to how they apply to a Senior Product Designer role, especially concerning AI and collaboration.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating AI Ambiguity: Designing for nascent AI capabilities requires comfort with uncertainty and the ability to define clear user experiences from potentially abstract technological possibilities.

• Balancing Automation with Control: Striking the right balance between providing automated efficiency and ensuring users feel in control and understand how AI is assisting them.

• Building Trust in AI: Overcoming potential user skepticism or concerns about AI by designing transparent, reliable, and ethical experiences.

• Integrating AI Seamlessly: Ensuring AI-powered features feel like a natural extension of the product, rather than an add-on, and integrate smoothly into existing user workflows.

• Keeping Pace with AI Advancements: Continuously learning about new AI developments and understanding how they can be responsibly applied to enhance MYOB's product suite.

Learning & Development Opportunities:

• AI Design Specialization: Deepen expertise in AI UX, human-AI interaction, and responsible AI design principles through dedicated learning and project work.

• Cross-Disciplinary Learning: Gain a deeper understanding of AI/ML technologies, data science methodologies, and product management strategies.

• Mentorship & Leadership: Opportunity to mentor junior designers and contribute to the strategic direction of AI within MYOB's design team.

• Industry Engagement: Potential to attend conferences, workshops, and training sessions focused on AI and design innovation.

📝 Enhancement Note: Challenges are derived from the inherent complexities of designing with AI, as described in the job posting. Growth opportunities are aligned with career progression in a specialized, high-demand field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed an AI-powered feature. What was the problem, your approach, the outcome, and what did you learn?" (Focus on your process, AI considerations, and metrics).

• "How do you ensure user trust and transparency when designing automated or AI-driven workflows?" (Prepare examples of design patterns for explainability and control).

• "Walk us through a complex, non-linear workflow you designed. How did you approach breaking it down and making it intuitive for users?" (Highlight systems thinking and interaction design).

• "Imagine you're designing an AI assistant for accounting tasks. What are the key ethical considerations you'd prioritize, and how would you address them in the design?" (Demonstrate understanding of responsible AI). Company & Culture Questions:

• "What excites you about MYOB's mission to help businesses succeed?" (Connect your passion to their purpose).

• "How do you approach collaboration with engineers and data scientists, especially when dealing with AI constraints or capabilities?" (Show your ability to work in cross-functional teams).

• "What are your thoughts on the future of AI in business software like accounting and banking?" (Demonstrate industry curiosity and forward-thinking). Portfolio Presentation Strategy:

• Curate for AI: Select 1-2 AI-focused case studies that best showcase your skills and experience relevant to this role.

• Tell a Story: Structure your presentation around a clear narrative: the problem, your role, the journey (research, ideation, iteration), the solution, and the impact.

• Highlight Design Decisions: Clearly explain why you made certain design choices, especially concerning AI implementation, user trust, and workflow design.

• Showcase Process: Illustrate your end-to-end process, including research, wireframes, prototypes, and final UI.

• Quantify Impact: Use data and metrics to demonstrate the success of your designs. If direct metrics aren't available, discuss anticipated outcomes or qualitative feedback.

📝 Enhancement Note: Interview questions are designed to probe for the specific skills and experiences highlighted in the job description, particularly around AI, complex systems, and cross-functional collaboration.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided link on jobs.lever.co.

• Tailor Your Resume: Ensure your resume highlights experience with AI-powered products, automation, complex workflows, and your proficiency in Figma and design systems. Quantify achievements where possible.

• Prepare Your Portfolio: Curate 1-2 strong case studies that demonstrate your end-to-end design process for AI-driven or data-intensive products. Focus on showing your problem-solving approach, collaboration, and impact.

• Research MYOB: Familiarize yourself with MYOB's products, mission, and company values. Consider how your skills and experience align with their goal of helping businesses succeed.

• Practice Your Pitch: Be ready to articulate your design philosophy, your experience with AI, and your approach to responsible design during interviews. Practice presenting your portfolio case studies concisely and effectively.

⚠️ 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.