Senior Product Designer
π Job Overview
Job Title: Senior Product Designer, AI Experiences
Company: MYOB
Location: Sydney, New South Wales, Australia
Job Type: Fixed Term
Category: Product Design / UX Design (with a focus on AI/Automation)
Date Posted: 2026-06-23
Experience Level: Mid-Senior Level (5-10 years)
Remote Status: Hybrid
π Role Summary
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Design and deliver AI-enabled workflows that simplify complex accounting, banking, and business operational tasks for MYOB customers.
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Drive end-to-end product design processes, from initial discovery and experimentation to final delivery and iterative improvements.
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Collaborate closely with Product Managers, Engineers, and Data Scientists to translate sophisticated AI capabilities into user-friendly, trustworthy experiences.
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Champion responsible AI principles, ensuring transparency, user trust, and appropriate levels of automation in AI-driven features.
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Contribute to the evolution of MYOB's AI design language and shared design patterns, elevating the quality and ethical considerations of AI experiences.
π Enhancement Note: While the raw job title is "Senior Product Designer," the description heavily emphasizes "AI Experiences," indicating a specialization within product design focused on integrating artificial intelligence into user workflows. This role requires a strong understanding of how AI impacts user interaction and trust, moving beyond traditional UX to consider the unique challenges and opportunities of AI-driven products. The "Fixed Term" employment type suggests this may be a project-based role or a contract position.
π Primary Responsibilities
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Lead the design of intuitive and effective AI-powered workflows for core MYOB functionalities, such as accounting, banking, and business operations, aiming to reduce customer effort and increase efficiency.
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Conduct user research, concept testing, and prototyping to validate design directions for AI features, particularly in ambiguous problem spaces.
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Translate complex AI concepts and technical constraints into clear, user-centered design solutions that foster trust and transparency.
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Develop and refine interaction models for AI-driven features, balancing automated processes with user control and oversight.
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Actively participate in Agile product development cycles, collaborating with cross-functional teams to ensure successful implementation of design solutions.
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Contribute to the development and maintenance of MYOB's design system, specifically focusing on patterns and guidelines for AI and automation features.
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Advocate for responsible AI design practices, ensuring ethical considerations, user privacy, and data security are integrated into the design process.
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Facilitate design workshops and presentations to articulate design rationale, gather feedback, and influence product strategy and decision-making.
π Enhancement Note: The responsibilities highlight a strategic, hands-on role requiring a blend of UX expertise and a forward-thinking approach to AI integration. The emphasis on "end-to-end" and "ambiguous problem spaces" suggests a need for proactive problem-solving and a comfort level with uncertainty, typical of senior roles focused on innovation and new technology adoption within product development.
π Skills & Qualifications
Education:
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Tertiary qualification in UX Design, Human-Computer Interaction (HCI), Cognitive Science, Psychology, or equivalent professional experience. Experience:
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5-10 years of demonstrated experience in product design or UX design roles.
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Proven track record of designing and shipping AI-powered, automated, or data-driven products.
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Experience working end-to-end in product development lifecycles, from discovery and experimentation through to delivery and iteration. Required Skills:
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Interaction Design: Expertise in crafting seamless and efficient user interactions, particularly for complex or non-linear workflows.
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Systems Thinking: Ability to understand and design for intricate, interconnected systems and their impact on user experience.
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Product Discovery & Experimentation: Skill in user research, ideation, and testing to explore and validate new product concepts and features.
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Prototyping & Delivery: Proficiency in creating high-fidelity prototypes and working closely with engineering teams to ensure accurate implementation.
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Figma Proficiency: Advanced skills in Figma for design, prototyping, and collaboration.
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Design Systems: Experience contributing to or working within established design systems, with an understanding of how to extend them for new capabilities.
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Agile Methodology: Familiarity and experience working effectively within Agile product development teams.
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Responsible AI Principles: Understanding of ethical AI considerations, including transparency, user control, fairness, and building user trust.
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Communication & Facilitation: Strong verbal and visual communication skills, with the ability to clearly articulate design rationale, influence stakeholders, and lead collaborative sessions.
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Design Thinking: A solid foundation in design thinking methodologies for problem-solving and innovation.
Preferred Skills:
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Curiosity and a proactive interest in AI, automation, and emerging technologies and their potential to transform product experiences.
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Experience in the business management software industry (e.g., accounting, finance, operations).
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Familiarity with data science principles and how they inform product design.
π Enhancement Note: The requirements emphasize practical, hands-on experience with AI and automation, not just theoretical knowledge. The explicit mention of Figma and design systems points to a need for candidates who can quickly integrate into an existing design framework and contribute to its evolution. The "equivalent professional experience" clause for education suggests that practical skills and a strong portfolio can outweigh formal academic qualifications.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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Showcase at least one significant project demonstrating the design of AI-powered or heavily automated products, highlighting the end-to-end process from problem definition to shipped solution.
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Provide detailed case studies that illustrate complex workflow design and systems thinking, explaining how challenges were overcome.
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Include examples of user research, problem framing, and iterative design processes that led to the final product experience.
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Demonstrate proficiency with design tools like Figma, including examples of component usage within a design system or how youβve contributed to one.
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Clearly articulate the problem space, your role, the design solutions, and the impact of your work, ideally with quantifiable results. Process Documentation:
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Detail your approach to user research and discovery for new features, especially those involving emerging technologies like AI.
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Explain your methods for translating complex technical capabilities (like AI models) into intuitive user interfaces and workflows.
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Describe how you collaborate with product managers, engineers, and data scientists throughout the design and development lifecycle.
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Outline your strategies for ensuring responsible AI principles are integrated into the design and product development process.
π Enhancement Note: For a Senior Product Designer role focused on AI, a portfolio is critical. It needs to go beyond static UI mockups to demonstrate a deep understanding of user problems, complex system design, and the impact of AI on user workflows. Candidates should be prepared to walk through their thought process, decision-making, and how they've handled ambiguity and technical constraints.
π΅ Compensation & Benefits
Salary Range:
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Based on industry benchmarks for Senior Product Designers in Sydney, Australia, with 5-10 years of experience, particularly those specializing in AI/automation, the estimated annual salary range is AUD $130,000 - $180,000. This estimate considers the fixed-term nature of the role, which may influence the salary structure (e.g., potentially a higher hourly rate or a premium for the contract period). Benefits:
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Flexible, Hybrid Workplace: Offers a balance between in-office collaboration and remote work flexibility.
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Home Office Financial Assistance: Support to set up an effective home workspace.
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Corporate Discounts and Vouchers: Access to savings from various retailers.
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Wellbeing Support: Partnership with Sonder provides comprehensive mental and physical wellbeing resources.
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Professional Development:
- In-house training and programs.
- LinkedIn Learning access for continuous skill enhancement.
- Opportunities for conference attendance and study assistance.
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Leave Options:
- Up to four additional weeks of purchased leave.
- Generous parental leave.
- Specialized leave: Domestic Violence Leave, Transgender Leave, Community Leave, Study Leave.
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Community Engagement: Participation in company-led communities focused on Wellness, Belonging, and the Planet.
Working Hours:
- Standard full-time hours, likely around 40 hours per week, with flexibility offered through the hybrid work model.
π Enhancement Note: The salary range is an estimation based on general market data for a senior-level design role in Sydney, Australia. Specific compensation for a fixed-term contract can vary significantly based on the duration of the contract, the candidate's specific expertise, and negotiation. The extensive list of benefits indicates MYOB's commitment to employee well-being and professional growth, which are attractive components for any candidate, particularly for a fixed-term role where these might be prorated or structured differently.
π― Team & Company Context
π’ Company Culture
Industry: Business Management Software (SaaS)
Company Size: MYOB is a large, established company, employing over 1,000 people globally. This size suggests a structured environment with established processes, but also opportunities for impact within specific product teams.
Founded: MYOB was founded in 1991, giving it a long history and deep understanding of the Australian and New Zealand business landscape. This longevity implies stability and a mature product offering.
Team Structure:
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The Senior Product Designer will likely be part of a dedicated product design team, potentially with a lead designer or design manager.
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They will work within a cross-functional product squad, including Product Managers, Engineers (front-end and back-end), and Data Scientists, focusing on AI-driven features.
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Collaboration is expected to be close and continuous within this squad, with broader interaction with other design team members for consistency and best practices. Methodology:
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MYOB operates within an Agile product development framework, emphasizing iterative development, continuous feedback, and collaboration.
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Design processes will likely involve a mix of user-centered design methodologies, lean UX principles, and a strong focus on data-informed decision-making, especially for AI features.
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There's a clear emphasis on responsible AI, suggesting a structured approach to ethical considerations and user trust in design.
Company Website: https://www.myob.com/
π Enhancement Note: MYOB's mission to help businesses start, survive, and succeed is a strong cultural anchor. The company's emphasis on people, impact, and growth, coupled with their commitment to diversity and inclusion, suggests a supportive and collaborative work environment. The hybrid model and extensive benefits further support this perception.
π Career & Growth Analysis
Operations Career Level: This role is positioned as a Senior Product Designer, indicating a mid-to-senior level of expertise. It requires not only strong execution skills but also the ability to contribute strategically to the direction of AI experiences and influence design practices. The "Senior" title implies mentorship potential and a significant degree of autonomy.
Reporting Structure: The designer will likely report to a Design Lead, Design Manager, or Head of Product Design, while working day-to-day within a cross-functional product team. This structure allows for both specialized design leadership and embedded team collaboration.
Operations Impact: The role has a direct impact on improving the user experience of MYOB's core business management products by leveraging AI. Successful AI-driven workflows can lead to increased customer satisfaction, retention, operational efficiency for users, and ultimately, business growth for MYOB. The design decisions made will shape how thousands of businesses interact with technology for critical tasks.
Growth Opportunities:
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Specialization: Deepen expertise in AI/Automation design, becoming a go-to person for these complex areas within MYOB.
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Leadership: Potential to mentor junior designers, lead design initiatives within product squads, and contribute to defining design strategy for future AI integrations.
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Skill Development: Continuous learning through internal programs, LinkedIn Learning, and potential conference attendance to stay abreast of AI and UX trends.
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Cross-Functional Exposure: Gain deeper insights into product management, engineering, and data science, enhancing overall product development acumen.
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Career Progression: Opportunities to move into Lead Designer roles, Product Design Management, or specialized UX roles within MYOB, depending on career aspirations and performance.
π Enhancement Note: The "Fixed Term" nature of this role might influence long-term career progression within MYOB, but the experience gained in designing AI-driven products for a company of MYOB's stature is highly valuable for future opportunities, whether at MYOB or elsewhere. The emphasis on growth and learning suggests a commitment to employee development regardless of contract length.
π Work Environment
Office Type: Hybrid work environment, blending remote work with in-office collaboration. MYOB emphasizes that their centrally located offices are hubs for in-person celebrations and social events, fostering a sense of community.
Office Location(s): Sydney, New South Wales, Australia. This implies access to a major business hub with potential for networking and industry engagement.
Workspace Context:
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Collaborative Environment: The hybrid model encourages collaboration, with specific days or events designed for in-person interaction, team building, and brainstorming.
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Tools & Technology: Access to industry-standard design tools (Figma), design systems, and the necessary technology to support both remote and in-office work.
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Team Interaction: Opportunities to connect with design peers, product teams, and cross-functional stakeholders, fostering a dynamic and engaged work atmosphere.
Work Schedule: A standard full-time work schedule (approx. 40 hours/week) is expected, with the flexibility inherent in a hybrid working arrangement allowing for better work-life integration. This schedule should accommodate deep work sessions for design tasks and collaborative meetings.
π Enhancement Note: The hybrid model is a key feature, suggesting MYOB trusts its employees to manage their time effectively while ensuring sufficient face-to-face interaction to maintain team cohesion and innovation. The mention of "centrally located offices" suggests accessibility and a connection to the broader business community.
π Application & Portfolio Review Process
Interview Process:
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Initial Screening: A recruiter or hiring manager will likely review your application and portfolio for a preliminary assessment of fit and experience.
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Portfolio Review & Discussion: Expect a dedicated session to walk through your portfolio. This will likely involve discussing your process, design decisions, and the impact of your work, particularly on AI/automation projects. Be prepared to articulate your role and contributions clearly.
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Skills-Based Interview: This may include technical questions about Figma, design systems, and specific design challenges. Case studies or hypothetical problems related to AI-driven workflows might be presented.
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Cross-Functional Team Interview: You may meet with Product Managers, Engineers, and Data Scientists to assess your collaboration skills, ability to navigate technical constraints, and understanding of AI principles.
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Final Interview: Potentially with a senior leader (e.g., Head of Design or Product) to discuss cultural fit, strategic thinking, and long-term potential.
Portfolio Review Tips:
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Curate Strategically: Select 2-3 strong case studies that best showcase your experience with AI, automation, complex workflows, and end-to-end design.
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Focus on Process, Not Just Pixels: Clearly articulate the problem, your user research, ideation process, decision-making rationale, and how you iterated based on feedback or constraints.
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Highlight AI/Automation Impact: For AI projects, explain the specific AI capabilities, the user problem they solved, and the resulting user experience and business impact. Detail how you ensured trust and transparency.
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Quantify Results: Whenever possible, include metrics (e.g., improved task completion time, reduced errors, increased user adoption) to demonstrate the effectiveness of your designs.
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Be Prepared to Discuss Trade-offs: Discuss any difficult decisions or compromises made due to technical limitations, business needs, or ethical considerations.
Challenge Preparation:
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AI Workflow Design: Practice designing hypothetical AI-driven workflows for common business tasks. Consider how to handle errors, provide feedback, and maintain user control.
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Responsible AI Scenarios: Think about how you would address ethical dilemmas related to AI (e.g., data privacy, bias, transparency).
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Systems Thinking Problems: Be ready to discuss how you approach designing for complex, interconnected systems.
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Figma & Design System: Be prepared to discuss your proficiency with Figma and your understanding of how to work with and contribute to design systems.
π Enhancement Note: The interview process for a Senior AI Product Designer will heavily scrutinize problem-solving abilities, strategic thinking, and practical application of AI design principles. A well-structured portfolio that clearly articulates your thought process and impact is paramount. Be ready to defend your design decisions and discuss the nuances of AI integration.
π Tools & Technology Stack
Primary Tools:
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Figma: The core design and prototyping tool, essential for collaboration and creating high-fidelity designs. Proficiency is expected.
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Design Systems: Experience working with and contributing to established design systems. Understanding component libraries, style guides, and their application.
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Prototyping Tools: While Figma is primary, familiarity with other prototyping tools for specific needs might be beneficial.
Analytics & Reporting:
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While not a direct analytics role, understanding how to interpret user data, A/B test results, and analytics dashboards (e.g., tools like Google Analytics, Amplitude, Mixpanel) to inform design decisions is crucial, especially for data-driven AI features. CRM & Automation:
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Familiarity with CRM systems (though MYOB is a CRM/ERP provider, understanding user interaction with such systems is relevant) and automation concepts within business software. Understanding how AI integrates into these workflows is key.
π Enhancement Note: The explicit mention of Figma and Design Systems highlights the need for candidates who can work efficiently within MYOB's established design infrastructure. Understanding how to leverage data and analytics to inform AI-driven design is a significant differentiator for this role.
π₯ Team Culture & Values
Operations Values:
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Impact-Driven: A strong focus on making a tangible difference for businesses, aligning with MYOB's core purpose.
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Customer-Centric: Deep understanding of customer needs and challenges, with a commitment to solving them through design.
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Collaboration: Valuing teamwork and open communication across departments to achieve shared goals.
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Innovation & Curiosity: Encouraging exploration of new technologies like AI and a proactive approach to problem-solving.
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Responsibility & Trust: Commitment to ethical design practices, particularly in the realm of AI, ensuring transparency and user trust.
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Efficiency: Striving for streamlined processes and user workflows that save time and effort for businesses.
Collaboration Style:
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Cross-Functional Integration: Working seamlessly with Product Managers, Engineers, and Data Scientists to co-create solutions.
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Design Advocacy: Actively participating in design critiques, sharing knowledge, and contributing to a culture of continuous improvement within the design team.
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Feedback-Oriented: Open to receiving and providing constructive feedback to enhance designs and processes.
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Agile Mindset: Embracing iterative development, flexibility, and a proactive approach to problem-solving within a dynamic team environment.
π Enhancement Note: MYOB's stated values of "Your Work Matters" and a focus on "people" suggest a culture that values employee contribution and well-being. The emphasis on diversity, inclusion, and adding to the culture indicates an environment where unique perspectives are welcomed.
β‘ Challenges & Growth Opportunities
Challenges:
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Designing for Ambiguity: Navigating uncharted territory in AI experience design, where best practices are still evolving.
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Balancing Automation and Control: Finding the right equilibrium between AI-driven efficiency and user autonomy/transparency in complex workflows.
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Building User Trust in AI: Overcoming potential user skepticism or concerns about AI accuracy, privacy, and ethical implications.
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Cross-Functional Alignment: Ensuring buy-in and smooth execution across diverse teams (Product, Engineering, Data Science) with potentially different priorities.
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Fixed-Term Nature: Adapting quickly to a new environment and delivering significant impact within a defined project timeline.
Learning & Development Opportunities:
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AI Design Specialization: Gaining in-depth expertise in designing for artificial intelligence, a highly sought-after skill.
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Complex Systems Design: Enhancing skills in designing for intricate, interconnected business software ecosystems.
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Mentorship: Opportunities to learn from and potentially mentor other designers within MYOB.
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Industry Trends: Staying at the forefront of AI and UX innovation through access to learning resources and potential conference attendance.
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Broad Product Exposure: Understanding the full lifecycle of business management software and the diverse needs of MYOB's customer base.
π Enhancement Note: The challenges presented are inherent to working with cutting-edge technology like AI within a large organization. The growth opportunities are significant, offering a chance to build a highly specialized and valuable skillset in a dynamic field.
π‘ Interview Preparation
Strategy Questions:
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"Describe a time you designed an AI-powered feature. What was the problem, your approach, the outcome, and what did you learn?"
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"How do you ensure user trust and transparency when designing with AI? Can you provide an example?"
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"Imagine we're automating a complex accounting task. What are the key considerations for designing this workflow to be intuitive and reliable?"
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"How would you approach designing for ambiguity in a new AI product area?"
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"Describe your process for collaborating with engineers and data scientists when designing complex systems." Company & Culture Questions:
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"What interests you about MYOB and our mission to help businesses succeed?"
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"How do you see yourself contributing to our hybrid work environment and company culture?"
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"What are your thoughts on responsible AI and how it should be applied in business software?"
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"How do you handle feedback on your designs, especially from technical stakeholders?" Portfolio Presentation Strategy:
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Tell a Story: Structure your case studies as narratives, highlighting the problem, your journey, the solutions, and the impact.
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Focus on "Why": Clearly articulate the rationale behind your design decisions, especially concerning AI integration and user experience.
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Show, Don't Just Tell: Use visuals (wireframes, prototypes, user flows) effectively to illustrate your design process and final solutions.
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Highlight Collaboration: Explain how you worked with cross-functional teams and integrated their input.
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Quantify Impact: Present any metrics or results that demonstrate the success of your designs.
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Prepare for Q&A: Anticipate questions about your role, specific design choices, and how you handled challenges.
π Enhancement Note: Candidates should be prepared to discuss their experience with AI design in detail, emphasizing their process, problem-solving skills, and understanding of responsible AI. The interview will likely assess both design craft and strategic thinking.
π Application Steps
To apply for this Senior Product Designer position:
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Submit your application through the provided link on jobs.lever.co.
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Tailor your Resume: Highlight experience with AI-powered products, complex workflows, interaction design, systems thinking, and proficiency in Figma. Use keywords from the job description.
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Curate Your Portfolio: Select 2-3 strong case studies that best demonstrate your end-to-end design process, particularly for AI/automation features. Ensure you clearly articulate your role, challenges, solutions, and impact.
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Prepare Your Narrative: Practice walking through your portfolio case studies, focusing on your thought process, decision-making, and how you ensured user trust and transparency in AI-driven designs.
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Research MYOB: Understand their business, mission, and values. Consider how your skills and experience align with their goals and the specific challenges of designing AI experiences for business software.
β οΈ 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.
Application Requirements
Requires demonstrated experience shipping AI-powered or data-driven products and proficiency in Figma and design systems. A tertiary qualification in UX design, HCI, cognitive science, psychology, or equivalent professional experience is expected.