🎨 Product Designer

📍 Job Overview

Job Title: 🎨 Product Designer

Company: Equiem Holdings Ltd

Location: Melbourne, Australia

Job Type: Part Time

Category: Product Design / UX Design

Date Posted: 2026-06-23

Experience Level: 5-10 Years

Remote Status: Hybrid (Part-time, approximately 3 days per week)

🚀 Role Summary

• This role offers a unique dual focus, blending hands-on product design for a specific squad with strategic leadership in establishing and scaling an AI-native design practice across the entire product organization.

• You will be instrumental in transforming complex data into intuitive, user-friendly interfaces for SaaS products, with a particular emphasis on data products, dashboards, and analytics.

• A key aspect of this position involves leveraging and driving the adoption of AI tools within the design process, fostering a self-service model for design, prototyping, and validation.

• The role requires a strong understanding of both web and mobile design principles, coupled with experience in building and maintaining robust design systems.

📝 Enhancement Note: Given the "Design Practice Lead" component and the emphasis on AI-native practices, this role is positioned as a senior individual contributor with significant influence on design methodology and tooling. The "Part Time" nature suggests a need for extreme efficiency and strong self-management skills.

📈 Primary Responsibilities

• Lead the end-to-end user experience (UX) design process for a dedicated product squad, from initial discovery through to delivery.

• Collaborate closely with Product Managers and Engineers to translate complex data sets into intuitive, usable, and visually appealing interfaces for web and mobile applications.

• Conduct comprehensive user research, synthesize findings, and translate insights into actionable design improvements.

• Execute usability testing sessions and iterate on designs based on direct user feedback to optimize user flows and product effectiveness.

• Build, scale, and champion an AI-native design practice that empowers various teams across the organization to independently manage design, prototyping, and validation processes.

• Establish and maintain high standards for user experience, accessibility, and overall product quality within the AI-native design framework.

• Develop and refine design systems to ensure consistency, efficiency, and scalability across all product touchpoints.

📝 Enhancement Note: The responsibilities clearly delineate a split focus: direct product execution for a squad and broader strategic design enablement. The "AI-native design practice" responsibility indicates a forward-thinking approach to design operations and tooling.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's degree in Design, Human-Computer Interaction, or a related field is typically expected for roles with this level of experience. Equivalent practical experience will also be considered.

Experience: A minimum of 5 years of dedicated product design experience, encompassing both web and mobile platforms, is essential. Proven experience in designing data products, complex dashboards, or analytics platforms is a core requirement. Experience within a SaaS product environment is also critical.

Required Skills:

• End-to-End UX Leadership: Ability to own and drive the entire UX process from concept to launch.

• Data Product Design: Proven experience in designing intuitive interfaces for complex data, dashboards, and analytics.

• AI Tool Fluency: Not just familiarity, but practical, working knowledge and application of AI tools within the design workflow.

• Figma Proficiency: Advanced skills in Figma, including comprehensive experience with design systems.

• SaaS Product Design: Demonstrated experience designing for Software-as-a-Service platforms.

• User Research & Testing: Expertise in conducting user research and usability testing, with a strong ability to synthesize findings.

• Design Systems: Experience in creating, maintaining, and scaling design systems.

• Independent Operation: Proven ability to self-manage, prioritize, and deliver high-quality work in a part-time, distributed (remote/hybrid) work environment.

Preferred Skills:

• PropTech/CRE Knowledge: Familiarity with Property Technology or Commercial Real Estate domains.

• Design Systems Enablement: Experience in building or scaling design systems for broader organizational use.

• Multi-Squad Experience: Background working across multiple product squads, understanding diverse team needs and workflows.

• Accessibility Standards: Knowledge of and adherence to web accessibility guidelines (WCAG).

📝 Enhancement Note: The emphasis on "working fluency with AI tools" and "AI-native design practice" suggests that candidates should be prepared to articulate specific examples of how they've used AI in their design process to drive efficiency and innovation.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Data-Centric Case Studies: Showcase at least two detailed case studies demonstrating your ability to design complex data products, dashboards, or analytics interfaces. Clearly articulate the problem, your design process, the tools used (especially AI), and the quantifiable impact.

• Figma & Design System Examples: Include examples of your Figma work, highlighting your proficiency in component-based design and your experience with creating or contributing to a design system.

• End-to-End Project Examples: Present a project where you led the UX from discovery through to delivery, illustrating your ability to collaborate with engineering and product management.

• AI Tool Integration: If possible, include a project where you leveraged AI tools to enhance your design process, such as for ideation, synthesis, or workflow automation.

Process Documentation:

• Workflow Optimization: Demonstrate how you've improved design workflows through the use of AI, automation, or streamlined processes.

• Design System Implementation: Show evidence of how design systems were implemented and scaled to ensure consistency and efficiency.

• User-Centric Iteration: Illustrate your iterative design process, using user research and testing feedback to refine product interfaces.

• Cross-Functional Collaboration: Provide examples of how you've documented and communicated design decisions and processes to product and engineering teams.

📝 Enhancement Note: Given the "AI-native" focus, candidates should be prepared to discuss their approach to integrating AI into their design process and how they maintain design quality and ethical considerations within such a framework.

💵 Compensation & Benefits

Salary Range: As this is a part-time role (approx. 3 days/week) in Melbourne, Australia, a competitive pro-rata salary is expected. Based on industry benchmarks for a Product Designer with 5-10 years of experience in a major Australian city, the full-time equivalent salary range could be AUD $120,000 - $170,000 per annum. Therefore, for a part-time role (approx. 60% of full-time), the pro-rata salary would likely fall between AUD $72,000 - $102,000 per annum.

Benefits:

• Flexible Work Arrangement: The part-time nature and distributed context offer significant flexibility, allowing for a better work-life balance.

• Impactful Work: Opportunity to directly influence product direction and design practice at a growing company.

• AI-Forward Environment: Be at the forefront of integrating AI into design processes.

• Professional Development: Potential for growth in leadership and practice development, with opportunities to learn new tools and methodologies.

• Collaborative Culture: Work within a design-forward team that values pragmatism and collaboration.

Working Hours: Approximately 3 days per week, with flexibility on specific days and hours, allowing for independent work and alignment with team needs.

📝 Enhancement Note: The salary estimate is based on comprehensive research of Product Designer roles in Melbourne, Australia, considering the experience level and the part-time nature of the position. Benchmarking data from industry salary guides and recruitment platforms was used, with adjustments for the specific responsibilities and the AI-centric nature of the role.

🎯 Team & Company Context

🏢 Company Culture

Industry: Equiem operates within the PropTech (Property Technology) sector, specifically focusing on enhancing building management and portfolio insights for asset managers. This involves leveraging data and technology to improve user experience and operational efficiency in commercial real estate.

Company Size: Equiem Holdings Ltd is a growing company, likely in the scale-up phase. While an exact number isn't provided, "scaling an AI-native design practice" suggests a team size that's large enough to require structured processes but agile enough for rapid innovation.

Founded: Equiem was founded to revolutionize the way commercial real estate is managed. Understanding its founding mission provides context for its data-driven and user-centric approach to property technology.

Team Structure:

• Product & Technology Focus: The role reports to the Chief Product & Technology Officer, indicating a strong emphasis on product development and technological innovation.

• Squad-Based Development: The mention of "one squad" suggests a product development methodology that utilizes cross-functional teams (squads) focused on specific product areas or features.

• Cross-Functional Collaboration: The role requires close collaboration with Product Managers and Engineers, highlighting a highly integrated approach between design, product, and development.

Methodology:

• AI-Native Approach: The company is actively building an "AI-native" product organization, meaning AI is a core component of their strategy and operations, including design.

• Data-Driven Insights: The product's purpose is to provide "building and portfolio insights," underscoring a strong reliance on data analysis and interpretation.

• Pragmatic Solutions: The company values "pragmatism in finding the right-sized solutions," indicating a focus on efficient, effective, and scalable design approaches rather than overly complex ones.

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

📝 Enhancement Note: The company's focus on PropTech and AI suggests a need for designers who can translate complex real estate data into actionable insights and user-friendly interfaces, embracing cutting-edge technologies.

📈 Career & Growth Analysis

Operations Career Level: This role is at a senior individual contributor level, often referred to as a Senior Product Designer or Lead Product Designer, with a significant strategic component. It bridges hands-on design execution with the development of design capabilities and practices across the organization.

Reporting Structure: The designer will report to the Chief Product & Technology Officer (CPTO), providing direct exposure to executive-level product and technology strategy. This reporting line signifies the importance of the design function within the company's leadership.

Operations Impact: The Product Designer will have a direct impact on Equiem's core product offerings, which are designed to provide critical insights for asset managers. Their work will influence how buildings and portfolios are managed, directly contributing to the company's value proposition and market position. The dual role also means impact on design team enablement and efficiency.

Growth Opportunities:

• Design Leadership: Opportunity to shape and lead the AI-native design practice, potentially growing into a Head of Design or Design Operations role.

• Product Strategy Influence: Direct interaction with the CPTO and product leadership provides a platform to influence product strategy and roadmap decisions.

• AI & PropTech Expertise: Deepen expertise in applying AI to design challenges and gain specialized knowledge within the PropTech industry.

• Skill Specialization: Develop advanced skills in areas such as design systems, AI-driven design tools, and complex data visualization.

📝 Enhancement Note: The "Design Practice Lead" aspect of the role is a significant growth opportunity, allowing the candidate to move beyond individual contribution and influence broader organizational design maturity and strategy.

🌐 Work Environment

Office Type: This role is described as part-time and operating in a "distributed context," suggesting a hybrid or remote-friendly environment. While the location is Melbourne, Australia, the emphasis is on independent work, implying that the physical office presence might be limited to specific days or for collaborative sessions.

Office Location(s): Melbourne, Australia. Specific office details are not provided, but given the hybrid arrangement, candidates should expect a need to be present in Melbourne for approximately 3 days per week, with the potential for remote work on other days.

Workspace Context:

• Collaborative Sessions: Expect opportunities for in-person or virtual collaboration with product managers, engineers, and other designers for key discussions and workshops.

• Independent Work Environment: The role requires a setup conducive to focused, independent work, whether from home or a co-working space, as part-time distributed work is a core aspect.

• Operations Tools & Technology: Access to standard design and collaboration tools, with a particular emphasis on AI-powered design software and platforms.

Work Schedule: Part-time, approximately 3 days per week. The specific days and hours can likely be negotiated, allowing for flexibility in managing personal commitments alongside professional responsibilities, while ensuring adequate availability for team collaboration and critical project phases.

📝 Enhancement Note: The "distributed context" alongside a specific Australian location implies that candidates should be comfortable with a hybrid model and possess strong remote work skills, including self-discipline and proactive communication.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your application, focusing on your resume and portfolio to assess your experience with data products, AI tools, Figma, and SaaS design.

• Portfolio Deep Dive: A session dedicated to walking through your portfolio. Be prepared to discuss your design process, your role in each project, specific design challenges overcome, and the impact of your work, especially highlighting your experience with data visualization and AI integration.

• Skills & Scenario Assessment: Interviews may include scenario-based questions related to designing complex data interfaces, integrating AI into workflows, or scaling design practices. Expect questions about your approach to user research, usability testing, and design systems.

• Team & Culture Fit: Discussions to assess your alignment with Equiem's values (high judgment, pragmatism, collaboration, curiosity, accountability) and your ability to work effectively in a part-time, distributed, AI-native environment.

• Final Interview: Likely with the CPTO to discuss strategic vision, leadership potential, and overall fit for the role and company.

Portfolio Review Tips:

• Quantify Impact: For each case study, clearly articulate the problem, your solution, and the measurable outcomes (e.g., improved conversion rates, reduced task completion time, increased user engagement).

• Showcase AI Integration: Explicitly highlight how you've used AI tools in your design process. Detail the specific tools and the benefits they brought, such as increased efficiency, enhanced ideation, or improved data analysis.

• Demonstrate Data Design Skills: Ensure your portfolio clearly showcases your ability to design for complex data, including dashboards, analytics interfaces, and data visualization. Explain your design rationale for presenting information clearly and concisely.

• Highlight Design System Contribution: If applicable, show examples of your involvement in creating or managing design systems and explain how they contribute to efficiency and consistency.

• Structure for Clarity: Organize your portfolio logically, making it easy for reviewers to navigate and understand your contributions. Use clear headings, concise descriptions, and compelling visuals.

Challenge Preparation:

• AI in Design Scenarios: Anticipate questions about how you would use AI to solve specific design problems or improve existing workflows.

• Data Visualization Principles: Be ready to discuss best practices for visualizing complex data for different user types and business objectives.

• Scaling Design Practices: Prepare to talk about how you would approach building an AI-native design practice and enabling self-service for other teams.

• Part-Time Collaboration: Consider how you would manage communication and collaboration effectively in a part-time, distributed role.

📝 Enhancement Note: The interview process will likely place a strong emphasis on practical application of AI in design and the ability to articulate strategic contributions to a design practice, not just individual design output.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, prototyping, and collaboration. Expect advanced usage, including component libraries and design system management.

• AI Design Tools: Proficiency with various AI tools for ideation, content generation, workflow automation, image creation, or data analysis is critical. Specific tools are not listed, implying a need for adaptability and a willingness to learn.

• Prototyping Tools: While Figma has prototyping capabilities, experience with dedicated tools like InVision, Axure, or similar might be beneficial for complex interactions.

Analytics & Reporting:

• Data Visualization Tools: Experience with tools that help in understanding and visualizing data to inform design decisions (e.g., Tableau, Power BI, Looker, or in-app analytics platforms).

• User Analytics Platforms: Familiarity with tools like Google Analytics, Mixpanel, Amplitude, or similar to track user behavior and measure design impact.

CRM & Automation:

• SaaS Platform Experience: General understanding of CRM systems and how design interacts with user management and data within SaaS products.

• Collaboration Tools: Proficiency with tools like Slack, Microsoft Teams, Jira, Confluence for communication, project management, and documentation.

📝 Enhancement Note: The "AI-native" aspect means candidates should be prepared to discuss their experience with a broad range of AI tools and their potential applications in the design process, beyond just generative AI for images.

👥 Team Culture & Values

Operations Values:

• High Judgment: Demonstrated ability to make sound decisions, weigh trade-offs, and know when to push back on requests or assumptions.

• Pragmatism: Focus on delivering practical, effective solutions that are appropriately scaled for the problem and context, avoiding over-engineering.

• Collaboration: A strong team-oriented spirit that actively contributes to the success of colleagues and elevates the team's overall output.

• Curiosity: An eagerness to explore and learn about new tools, technologies (especially AI), and approaches to design and product development.

• Accountability: Taking ownership of one's work, commitments, and outcomes, ensuring reliable delivery and follow-through.

Collaboration Style:

• Cross-Functional Integration: Seamless collaboration with product management and engineering teams, fostering a shared understanding of goals and user needs.

• Design Practice Empowerment: A collaborative approach to building and scaling the AI-native design practice, encouraging knowledge sharing and self-service among other teams.

• Feedback-Driven: Openness to receiving and providing constructive feedback to continuously improve designs and processes.

📝 Enhancement Note: The company's values are heavily emphasized, suggesting that candidates should prepare to provide specific examples demonstrating these traits in their past roles, particularly in how they've exercised judgment, pragmatism, and curiosity.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Dual Roles: Effectively managing time and priorities between hands-on design for a squad and the strategic development of the design practice.

• AI Integration Complexity: Navigating the evolving landscape of AI tools and integrating them effectively and ethically into established design workflows.

• Scaling Design Enablement: Building a self-service design practice that maintains high quality and consistency across diverse teams.

• PropTech Domain Learning: Quickly acquiring knowledge of the PropTech industry and commercial real estate asset management to design effective solutions.

• Part-Time Efficiency: Maximizing productivity and impact within a part-time capacity in a distributed environment.

Learning & Development Opportunities:

• AI in Design Specialization: Become a recognized expert in leveraging AI for product design innovation.

• Design Operations Leadership: Gain experience in building and managing design systems and enablement programs.

• Strategic Product Influence: Develop skills in influencing product strategy and roadmap through executive-level interaction.

• PropTech Industry Insight: Deepen understanding of a specialized and growing technology sector.

📝 Enhancement Note: The challenges highlight the need for strong organizational skills, adaptability, and a proactive approach to learning, especially concerning new technologies and domain-specific knowledge.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex data product or dashboard you designed. What were the key challenges in making the data intuitive, and how did you use AI or other tools to overcome them?" (Focus on process, AI use, and outcomes).

• "How would you approach building an AI-native design practice from the ground up to enable self-service across multiple product teams?" (Focus on strategy, enablement, and scalability).

• "Discuss a time you had to exercise high judgment or pragmatism to find a 'right-sized' solution. What was the situation, and what was the outcome?" (Focus on alignment with company values). Company & Culture Questions:

• "What excites you about Equiem's mission in PropTech and our AI-native approach?" (Showcase research and genuine interest).

• "How do you foster collaboration and curiosity within a distributed, part-time team?" (Highlight communication and teamwork skills).

• "How do you ensure accountability and maintain high standards when working independently?" (Demonstrate self-management and commitment). Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly define the problem, your role, the process, the solution (highlighting AI/data aspects), and the quantifiable results.

• Show, Don't Just Tell: Use clear visuals and interactive prototypes where possible to demonstrate your design thinking and execution.

• Focus on AI Impact: Be ready to articulate how and why you used specific AI tools, the challenges it solved, and the benefits it delivered—not just that you used them.

• Connect to Values: Weave in examples that demonstrate high judgment, pragmatism, collaboration, curiosity, and accountability throughout your presentation.

📝 Enhancement Note: Prepare to discuss specific AI tools you've used, the workflows you've built or improved with them, and your philosophy on the future of AI in design.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on the Equiem Holdings Ltd careers portal.

• Curate Your Portfolio: Select 2-3 of your strongest case studies that best represent your experience with data products, SaaS design, and your use of AI tools. Ensure they clearly articulate your process and impact.

• Tailor Your Resume: Highlight your 5+ years of experience, specific achievements in UX, data design, AI tool fluency, Figma skills, and any PropTech exposure. Use keywords from the job description.

• Prepare Your Narrative: Practice walking through your portfolio, focusing on how you've translated complex data into intuitive interfaces and leveraged AI in your design process. Be ready to discuss Equiem's values and how your experience aligns.

• Research Equiem: Familiarize yourself with Equiem's product, mission, and the PropTech industry. Understand their AI-native approach and value proposition.

⚠️ 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.

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