Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer, AI Experiences

Company: MYOB

Location: Melbourne, Victoria, Australia

Job Type: Fixed Term

Category: Product Design / UX Design (AI Focus)

Date Posted: 2026-06-23

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: Hybrid

🚀 Role Summary

• Design and deliver AI-enabled workflows that enhance user efficiency in accounting, banking, and business operations.

• Translate complex AI capabilities into intuitive, trustworthy, and useful user experiences.

• Collaborate cross-functionally with Product Managers, Engineers, and Data Scientists to define and build AI-driven product features.

• Champion responsible AI principles, ensuring transparency, user trust, and appropriate automation within product design.

• Contribute to the development of shared AI design patterns and elevate the standards for AI-led experiences across the organization.

📝 Enhancement Note: This role is specifically focused on the intersection of AI and product design, emphasizing the creation of intelligent, automated workflows within the business management software domain. The "Senior" title implies a need for strategic thinking, mentorship, and the ability to navigate ambiguity in complex problem spaces. The "Fixed Term" nature suggests a project-based or time-bound initiative, likely involving significant innovation.

📈 Primary Responsibilities

• Lead the end-to-end design process for AI-powered features, from initial discovery and user research to experimentation, prototyping, and final delivery.

• Conduct user research and analysis to understand customer needs and pain points related to accounting, banking, and operational tasks that can be improved with AI.

• Develop detailed user flows, wireframes, and interactive prototypes to visualize and test AI-driven workflows and interactions.

• Collaborate closely with engineering and data science teams to understand AI model capabilities, limitations, and data requirements, translating technical constraints into design solutions.

• Define and implement user interface elements and interaction patterns that promote user trust, transparency, and control over AI-driven processes.

• Advocate for and apply responsible AI design principles, ensuring ethical considerations, bias mitigation, and user safety are integrated into the design of AI experiences.

• Contribute to and maintain a library of shared AI design patterns and best practices to ensure consistency and scalability across MYOB products.

• Facilitate design thinking workshops and critique sessions to gather feedback and drive consensus on AI experience design strategies.

• Stay abreast of emerging AI technologies, design trends, and user expectations to continuously innovate and improve MYOB's AI-driven product offerings.

• Measure and iterate on AI-driven user experiences based on user feedback, usage data, and key performance indicators.

📝 Enhancement Note: The responsibilities highlight a blend of strategic design leadership and hands-on execution. The focus on "end-to-end" process, "ambiguous problem spaces," and "translating complex AI capabilities" indicates a need for a designer who is comfortable with uncertainty and can define solutions from scratch. The emphasis on "responsible AI" and "user trust" points to a critical aspect of designing AI products.

🎓 Skills & Qualifications

Education:

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

• Demonstrated experience designing and shipping AI-powered, automated, or data-driven products.

• Experience working end-to-end in the product development lifecycle: from discovery and experimentation through to delivery and iteration.

• Proven experience working in Agile product teams, contributing to sprint planning, backlog refinement, and iterative development cycles. Required Skills:

• AI Experience Design: Proven ability to design user experiences for AI-enabled products, understanding concepts like machine learning, natural language processing, and automation.

• Interaction Design: Strong skills in crafting intuitive and efficient user interfaces and workflows for complex digital products.

• Systems Thinking: Ability to understand and design for interconnected systems, non-linear workflows, and the broader product ecosystem.

• Product Discovery & Experimentation: Proficiency in user research methodologies, hypothesis testing, and rapid prototyping to validate design concepts.

• Prototyping: Advanced skills in creating interactive prototypes to communicate design intent and gather user feedback.

• Figma Proficiency: Expert-level command of Figma for design, prototyping, and collaboration.

• Design Systems: Experience contributing to or working within established design systems to ensure consistency and scalability.

• Responsible AI Principles: Solid understanding of ethical AI considerations, including transparency, user trust, fairness, and appropriate automation.

• Communication & Facilitation: Excellent verbal and written communication skills, with the ability to clearly articulate design rationale, influence stakeholders, and facilitate productive discussions.

• Design Thinking: Mastery of design thinking methodologies to solve complex problems and drive user-centered innovation.

Preferred Skills:

• Experience with data analysis and interpretation to inform design decisions and measure impact.

• Familiarity with business management software (e.g., accounting, ERP, CRM) and their operational workflows.

• Knowledge of user research techniques specific to AI and complex systems.

• Experience mentoring junior designers or leading design initiatives.

• Familiarity with A/B testing and performance analytics for design optimization.

📝 Enhancement Note: The required skills emphasize a strong foundation in UX design, coupled with specialized knowledge in AI and systems thinking. The emphasis on "shipping" products and "Agile" environments points to a practical, outcome-oriented approach. The inclusion of "responsible AI principles" is a key differentiator for roles involving AI.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• AI-Powered Product Case Studies: Showcase 2-3 detailed case studies demonstrating your experience designing AI-enabled or heavily automated products. Clearly articulate the problem, your design process, the AI/automation involved, the solutions you developed, and the impact achieved.

• Complex Workflow Design: Include examples of designing and optimizing intricate or non-linear user workflows, illustrating your systems thinking and interaction design capabilities.

• Discovery to Delivery Examples: Present projects that highlight your involvement across the entire product development lifecycle, from initial problem definition and user research through to final implementation and iteration.

• Figma & Design System Work: Demonstrate your proficiency in Figma, including examples of design system components, patterns, or contributions.

• Metrics & Impact: For each case study, quantify the impact of your design solutions using relevant metrics (e.g., improved task completion time, reduced error rates, increased user satisfaction, adoption rates of AI features).

Process Documentation:

• Clearly document your design process for each portfolio piece, including:

  • User research methodologies employed.

  • Ideation and concept development techniques.

  • Prototyping tools and fidelity used.

  • Collaboration strategies with product, engineering, and data science.

  • How you addressed challenges related to AI complexity, user trust, or transparency.

  • Iteration based on feedback and data.

📝 Enhancement Note: A strong portfolio is critical for this role, especially given the focus on AI and complex systems. Candidates must demonstrate not just design skills but also the ability to translate technical AI concepts into user-friendly experiences and prove their impact with data. The emphasis on "AI-enabled" and "automated" products is a key filter.

💵 Compensation & Benefits

Salary Range:

• Based on industry benchmarks for Senior Product Designers in Melbourne, Australia, with specialized AI experience and a Fixed Term contract, an estimated salary range would be AUD $150,000 - $200,000 per annum. This range accounts for the seniority of the role, the specialized AI focus, and the competitive tech market in Melbourne. Benefits:

• Flexible, Hybrid Workplace: Encourages work-life balance with the ability to work both remotely and from the office.

• Home Office Financial Assistance: Support to set up an effective home workspace.

• Corporate Discounts and Vouchers: Savings on a range of products and services from top retailers.

• Wellbeing Support: Access to comprehensive wellbeing resources through partnership with Sonder.

• Professional Development: Opportunities for in-house training, LinkedIn Learning, conference attendance, and study assistance to foster continuous learning and skill enhancement.

• Generous Leave Options: Includes up to four additional weeks of purchased leave, comprehensive parental leave, and specialized leave (domestic violence, transgender, community, study) to support diverse employee needs.

• Community Engagement: Opportunities to join and contribute to company-wide communities focused on Wellness, Belonging, and the Planet.

Working Hours:

• Standard full-time hours (estimated 40 hours per week), with flexibility offered through the hybrid work arrangement.

📝 Enhancement Note: The salary estimate is based on typical Senior Product Designer roles in Melbourne, Australia, and adjusted upwards to reflect the specialized AI experience and the fixed-term nature which often commands a premium. The benefits list is extensive and highlights MYOB's commitment to employee wellbeing and professional growth, which are attractive to experienced professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software & Technology (Business Management Solutions)

MYOB operates in the FinTech and Business Software sector, providing critical tools for Small to Medium Enterprises (SMEs) in Australia and New Zealand. This environment demands robust, reliable, and user-friendly solutions that directly impact business success. The company's purpose, "helping more businesses in Australia and New Zealand start, survive and succeed," underscores a customer-centric and impact-driven ethos.

Company Size: Large (Indicative of MYOB's established presence and market share in ANZ)

A larger company size suggests a structured environment with established processes, potential for cross-functional collaboration, and a broader impact. For operations professionals, this often means more defined roles, access to specialized teams (like dedicated data science and engineering), and opportunities to work on large-scale projects.

Founded: MYOB has a long history, established in 1991, indicating a mature organization with a deep understanding of its market and a track record of innovation and adaptation. This longevity suggests stability and a culture that values evolution.

Team Structure:

• AI Experience Design Team: This role likely sits within a dedicated AI product design team or a broader product design group with a strong AI focus.

• Cross-Functional Pods: Expect to work in agile squads or pods comprising Product Managers, Software Engineers, Data Scientists, QA testers, and potentially UX Researchers, all focused on specific product areas or features.

• Reporting: The Senior Product Designer will likely report to a Design Lead, Head of Product Design, or a Director overseeing AI/Product initiatives.

• Collaboration: High degree of collaboration is expected with product management for strategy and requirements, engineering for feasibility and implementation, and data science for AI model integration.

Methodology:

• Agile Development: Teams operate using Agile methodologies, emphasizing iterative development, frequent feedback loops, and adaptability.

• Data-Driven Design: Decisions are informed by user data, analytics, and performance metrics to ensure product effectiveness and user satisfaction.

• User-Centered Design: A strong focus on understanding user needs and validating design solutions through research and testing.

• Responsible Innovation: Commitment to ethical considerations and user trust in the development of new technologies, particularly AI.

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

📝 Enhancement Note: MYOB's mission and history suggest a company that is both established and forward-thinking. The emphasis on "business of people" and "Everyone's Business" indicates a culture that values human connection and impact. The specific focus on AI for business operations suggests a strategic initiative to leverage technology for core customer value.

📈 Career & Growth Analysis

Operations Career Level: Senior Product Designer (AI Focus)

This role is positioned at a senior individual contributor level, requiring significant expertise in product design, with a specialization in AI-driven experiences. It demands the ability to operate autonomously in complex, ambiguous problem spaces, influence product strategy, and mentor others. This is a hands-on role, not a management position, but one that carries significant design leadership responsibilities.

Reporting Structure:

The Senior Product Designer will report into a design leadership role (e.g., Lead Product Designer, Head of Design) within a product development stream. They will work closely within agile teams, collaborating daily with Product Managers, Engineers, and Data Scientists. The structure encourages cross-functional teamwork and direct contribution to product outcomes.

Operations Impact:

The impact of this role is significant, directly influencing how MYOB's customers interact with intelligent automation and AI features. Successful design of these AI workflows can lead to:

• Increased operational efficiency for MYOB's SME customers, allowing them to focus on core business growth.

• Enhanced user trust and adoption of AI capabilities, driving competitive advantage for MYOB.

• Improved customer satisfaction and retention through more intuitive and helpful product experiences.

• Setting the standard for AI design within MYOB, influencing future product development. Growth Opportunities:

• Specialization Deepening: Further develop expertise in AI experience design, human-AI interaction, and responsible AI practices.

• Design Leadership: Transition into Lead Designer or Design Manager roles, mentoring teams and shaping design strategy at a higher level.

• Cross-Functional Mobility: Potentially move into Product Management or UX Research roles, leveraging a deep understanding of user needs and product development.

• Innovation Initiatives: Lead design efforts on new, cutting-edge AI product features and explorations.

• Industry Influence: Contribute to design communities, speak at conferences, or publish thought leadership on AI in UX.

📝 Enhancement Note: The growth trajectory for a Senior Product Designer at a company like MYOB involves both deepening technical and domain expertise and potentially moving into leadership or broader product roles. The emphasis on AI indicates a high-demand skill set with significant future potential.

🌐 Work Environment

Office Type: Hybrid Workplace

MYOB offers a hybrid work model, combining remote work with in-office collaboration. This structure aims to provide flexibility while fostering team connection and innovation through in-person interactions. The company mentions "centrally located offices" that come together for events, suggesting a network of physical workspaces designed for collaboration and social engagement.

Office Location(s): Melbourne, Victoria, Australia

The primary location is Melbourne, a major tech hub in Australia. This provides access to a vibrant ecosystem of talent, events, and industry connections.

Workspace Context:

• Collaborative Spaces: Offices are likely equipped with meeting rooms, breakout areas, and open-plan spaces designed to facilitate teamwork and spontaneous interactions among product teams.

• Technology & Tools: Access to standard professional office technology, including reliable internet, presentation equipment, and potentially specialized hardware for design and testing. The role emphasizes proficiency in Figma and design systems, implying these tools are readily available and supported.

• Team Interaction: The hybrid model encourages intentional interaction. Days spent in the office would likely be focused on collaborative sessions, workshops, team meetings, and social events, fostering stronger working relationships within the AI product design pod and the broader design team.

Work Schedule:

• Full-time employment with a standard work week (estimated 40 hours).

• The hybrid arrangement provides flexibility in where work is done, allowing employees to balance remote productivity with essential in-office collaboration. This flexibility is crucial for designers who may need focused time for deep work or collaborative sessions.

📝 Enhancement Note: The hybrid model is a key aspect of the work environment, balancing autonomy with connection. For a Senior Product Designer, this means opportunities for focused, deep work at home and structured, collaborative sessions in the office, crucial for complex AI design projects.

📄 Application & Portfolio Review Process

Interview Process:

1. Application Screening: Review of CV and portfolio to assess alignment with role requirements, particularly AI design experience and Figma proficiency.

2. Hiring Manager/Recruiter Screen: Initial conversation to gauge overall fit, understand career aspirations, and discuss the role and MYOB's culture.

3. Design Portfolio Review & Interview: A deep dive into your portfolio with the hiring manager and potentially other senior designers. This will involve presenting 1-2 key case studies, focusing on your process, problem-solving, and impact, especially related to AI/automation. Expect questions about your design rationale, collaboration, and how you handle ambiguity.

4. Cross-Functional Interview: Meeting with key stakeholders, likely a Product Manager, Lead Engineer, and/or Data Scientist. This interview will assess your ability to collaborate, communicate technical concepts, and understand trade-offs within an agile team context. You might be asked to discuss how you'd approach a specific AI design challenge.

5. Final Interview/Cultural Fit: A conversation with a design leader or senior executive to discuss company values, team fit, and long-term potential.

Portfolio Review Tips:

• Focus on AI & Automation: Prioritize case studies that clearly showcase your experience designing AI-powered or automated products. Explain how AI was used and the user benefits derived.

• Structure for Clarity: Organize your portfolio logically. For each case study, clearly outline: the problem, your role, the process, the solution (with visuals!), and the measurable outcomes/impact.

• Showcase Your Process: Don't just show final designs. Illustrate your journey – user research, wireframes, iterations, prototypes, and how you collaborated.

• Quantify Impact: Use metrics (even estimates) to demonstrate the value of your designs. How did your work improve user efficiency, trust, or task completion?

• Be Ready for Deep Dives: Prepare to discuss design decisions, trade-offs, challenges faced (especially with AI complexity), and lessons learned in detail.

• Figma & Design Systems: Be prepared to show your Figma files or discuss your approach to using and contributing to design systems.

Challenge Preparation:

• AI Design Scenarios: Be ready to discuss hypothetical scenarios related to designing AI features, such as: How would you build trust in an AI recommendation system? How would you design an interface for an AI that automates financial reporting?

• Process Optimization Thinking: Prepare to discuss how you approach identifying opportunities for automation and designing efficient workflows.

• Collaboration Scenarios: Think about how you would communicate complex AI design concepts to non-designers (engineers, data scientists, product managers) and how you manage differing opinions.

📝 Enhancement Note: The interview process is designed to assess both design craft and collaborative ability, with a strong emphasis on AI experience and the ability to navigate complex, data-driven product development. The portfolio is the primary tool for demonstrating this experience.

🛠 Tools & Technology Stack

Primary Tools:

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

• Design Systems: Experience contributing to or utilizing established design systems (e.g., internal MYOB design system) for consistency and efficiency.

• Prototyping Tools: In-depth knowledge of Figma's prototyping capabilities; potentially familiarity with other tools for specific fidelity needs.

Analytics & Reporting:

• Analytics Platforms (e.g., Google Analytics, Mixpanel, Amplitude): Familiarity with how to interpret user behavior data and performance metrics to inform design decisions and measure the impact of AI features.

• Data Visualization Tools (e.g., Tableau, Power BI): Understanding how to consume and potentially collaborate on data dashboards for insights.

CRM & Automation:

• CRM Systems (e.g., Salesforce, HubSpot): While not a direct CRM role, understanding how business software integrates and how CRM data might inform AI features is beneficial.

• Workflow Automation Tools: Familiarity with concepts of workflow automation that underpin the AI-driven features being designed.

• Collaboration Tools: Jira, Confluence, Slack – standard tools for agile team communication and project management.

📝 Enhancement Note: Proficiency with Figma and design systems is non-negotiable. The role also requires an understanding of how design integrates with data analytics and business processes to deliver effective AI-driven solutions.

👥 Team Culture & Values

Operations Values:

• Impact-Driven: A strong focus on making a tangible difference for businesses and their owners. This translates to designing solutions that genuinely solve problems and improve efficiency.

• Customer-Centric: Deep understanding of customer needs and a commitment to delivering value through user-friendly and effective products.

• Innovation & Curiosity: Encouragement to explore new technologies like AI and automation, and to challenge the status quo to find better solutions.

• Collaboration & Transparency: Working effectively in cross-functional teams, sharing knowledge, and being open about design decisions and challenges.

• Responsibility: A commitment to ethical design practices, particularly concerning AI, ensuring user trust, fairness, and appropriate use of technology.

Collaboration Style:

• Cross-Functional Pods: Work within agile teams where collaboration is constant and integrated into the daily workflow. This involves close partnership with Product Managers, Engineers, and Data Scientists.

• Design Critiques & Workshops: Regular sessions for sharing work, receiving constructive feedback, and collectively problem-solving.

• Open Communication: Reliance on tools like Slack and Confluence for ongoing dialogue and knowledge sharing.

• Data-Informed Discussions: Engaging in discussions backed by user research findings, analytics, and performance data.

📝 Enhancement Note: MYOB's stated values emphasize impact, customer focus, and innovation. For a Senior Product Designer in AI, this means translating these values into user-centric, responsible, and effective AI experiences that drive business outcomes for their clients.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Ambiguity: Designing in nascent areas of AI requires defining problems and solutions where clear precedents may not exist. Candidates must be comfortable with uncertainty and skilled at creating clarity.

• Building User Trust in AI: AI can sometimes be perceived as a "black box." A key challenge is designing interfaces and interactions that foster transparency, explainability, and user confidence in AI-driven outputs.

• Balancing Automation with Control: Determining the right level of automation versus user control is critical. Over-automation can lead to frustration, while under-automation defeats the purpose. Designing this balance is a core challenge.

• Integrating Complex AI Capabilities: Translating sophisticated AI models and algorithms into seamless, intuitive user experiences requires deep collaboration and understanding of both user needs and technical possibilities.

• Ethical AI Considerations: Ensuring that AI designs are fair, unbiased, and used responsibly requires constant vigilance and thoughtful design choices.

Learning & Development Opportunities:

• AI Design Specialization: Gain deep expertise in designing for machine learning, NLP, and other AI technologies, becoming a go-to expert in this domain.

• Cross-Disciplinary Learning: Work closely with Data Scientists to understand AI model development and with Engineers to grasp implementation realities, broadening technical understanding.

• Product Strategy Influence: Contribute to the strategic direction of MYOB's AI product roadmap, influencing where and how AI is applied.

• Mentorship: Opportunity to mentor junior designers and contribute to the growth of the broader design team's AI capabilities.

• Industry Trends: Stay at the forefront of AI and UX innovation through company-sponsored learning, conferences, and internal knowledge sharing.

📝 Enhancement Note: The challenges presented are inherent to working with cutting-edge AI technology. MYOB's commitment to growth and learning provides excellent avenues for designers to develop specialized skills in this 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 would you do differently?" (Focus on your process, AI understanding, and impact.)

• "How do you approach building user trust in automated or AI-driven systems? Walk me through an example." (Demonstrate understanding of responsible AI and UX principles.)

• "Imagine we want to automate X business process using AI. What questions would you ask Product Management and Data Science to start defining the user experience?" (Showcase your discovery and problem-framing skills.)

• "How do you balance the desire for automation with the need for user control and transparency in a product?" (Address the core tension in AI design.) Company & Culture Questions:

• "What interests you about MYOB and our mission to help businesses succeed?" (Research MYOB's business and values.)

• "How do you contribute to a positive and collaborative team environment, especially in a hybrid setting?" (Highlight your teamwork and communication skills.)

• "How do you ensure your designs align with business objectives and user needs simultaneously?" (Show your strategic and user-centric thinking.)

• "Given MYOB's focus on business management software, what opportunities do you see for AI to improve user workflows?" (Demonstrate your understanding of the domain and AI potential.) Portfolio Presentation Strategy:

• Select Wisely: Choose 1-2 case studies that best represent your AI design experience and your ability to handle complex workflows.

• Tell a Story: Frame your presentation as a narrative. Start with the user problem or business challenge, walk through your design journey, highlight key decisions and trade-offs, and conclude with the impact and learnings.

• Visuals are Key: Use clear, concise visuals (wireframes, mockups, prototypes) to illustrate your design process and solutions.

• Quantify Everything Possible: Be ready to discuss metrics and demonstrate the ROI or user benefit of your designs.

• Be Prepared for Technical Questions: Anticipate questions about your Figma workflow, design system contributions, and how you collaborate with engineers and data scientists.

📝 Enhancement Note: Preparation should focus on articulating your experience with AI, your design process for complex systems, and your collaborative