Senior Product Designer
📍 Job Overview
Job Title: Senior Product Designer
Company: Squiz
Location: Brisbane, Queensland, Australia
Job Type: FULL_TIME
Category: Product Design / User Experience
Date Posted: 2026-09-01
Experience Level: 5-10 Years
Remote Status: Hybrid / Location Flexible (Australia)
🚀 Role Summary
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Drive the strategic vision and user experience for Squiz's next-generation AI-powered Digital Experience Platform (DXP) products.
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Lead collaborative design initiatives, bridging high-level roadmap concepts with tangible, human-centered solutions.
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Develop and scale the design system to ensure platform cohesion and maintain a high bar for visual and interaction design polish.
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Leverage AI tools to enhance user experiences and optimize internal design processes, contributing to rapid prototyping and iteration.
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Partner closely with Product and Engineering leadership to validate strategic initiatives before development.
📝 Enhancement Note: This role is positioned as a Senior Product Designer with a strong emphasis on strategic product development, AI integration, and design system ownership within a B2B SaaS enterprise environment. The hybrid/location-flexible nature within Australia suggests a focus on outcomes and collaboration over strict office attendance.
📈 Primary Responsibilities
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Shape and vision strategic product roadmap initiatives, translating high-level concepts into short and long-term product visions and validating them with stakeholders.
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Lead collaborative design workshops and prototyping sessions to explore concepts, course-correct ideas in real-time, and achieve stakeholder consensus on user-centered experiences.
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Design and integrate non-deterministic AI workflows, intelligent assistants, and insight-driven analytics to enhance the user experience and internal processes.
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Actively leverage and experiment with modern AI tools to accelerate personal prototyping and iteration velocity, sharing best practices with the wider team.
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Define, document, and evolve the design system, proactively identifying UI pattern breaks and ensuring the visual language scales cohesively across new growth areas.
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Bridge strategy and production by balancing fast-paced generative prototyping with meticulous execution, delivering precise production assets and guidelines to engineering teams.
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Partner closely with engineering leads to understand complex data, technical trade-offs, and build feasible solutions without compromising design quality.
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Conduct user research and validation to inform design decisions and ensure solutions meet user needs and business objectives.
📝 Enhancement Note: The responsibilities highlight a blend of strategic thinking, hands-on design execution, and strong collaborative leadership. The emphasis on AI and design systems indicates a forward-thinking product development approach.
🎓 Skills & Qualifications
Education: While not explicitly stated, a Bachelor's degree in Design, Human-Computer Interaction, or a related field is typically expected for senior product design roles. Equivalent practical experience will also be considered.
Experience: 5+ years of dedicated experience in Product Design, with a significant focus on B2B SaaS and enterprise-level platforms. A proven track record of designing complex platform workflows is essential.
Required Skills:
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Deep expertise in B2B SaaS and enterprise software design principles.
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Proven ability to establish, expand, or maintain scalable design systems.
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High craft and product taste with a keen eye for visual and interaction design polish.
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Strong facilitative skills to lead cross-functional teams and guide stakeholders toward consensus.
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Strategic instincts for framing problems visually and shaping ambiguous initiatives.
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Technical pragmatism and a history of close collaboration with engineering leads on complex technical trade-offs.
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Hands-on experience designing features driven by AI/ML or complex data.
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Eagerness to experiment with and leverage AI tools in the design workflow.
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Proficiency in user research methodologies and translating insights into actionable design decisions.
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Advanced skills in prototyping tools for rapid iteration and concept validation. Preferred Skills:
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Experience designing non-deterministic AI workflows and intelligent assistants.
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Familiarity with content intelligence and optimization product suites.
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Experience with modern AI tools for design exploration and prototyping.
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Strong understanding of agile development methodologies and working in fast-paced environments.
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Excellent communication and presentation skills for conveying complex ideas to diverse audiences.
📝 Enhancement Note: The experience requirement of 5+ years aligns with a "Senior" level, emphasizing strategic contribution and ownership. The emphasis on B2B SaaS and enterprise platforms signals the need for experience with complex user flows and business-critical applications.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
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A robust portfolio showcasing 5+ years of experience in B2B SaaS and enterprise platform design.
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Demonstrable examples of your role in establishing, expanding, or maintaining scalable design systems, including component libraries and pattern documentation.
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Case studies detailing your process for designing complex platform workflows, highlighting problem framing, user research, iterative design, and final solution.
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Evidence of designing around AI/ML-driven features or data-heavy applications, with insights into how you approached these complexities.
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Examples of your facilitation skills, showcasing how you've brought teams together to shape strategic initiatives and achieve consensus. Process Documentation:
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Case studies should clearly articulate the design process followed, from initial concept generation and problem definition through to detailed interaction design and production handoff.
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Documentation of how you've leveraged user research and data to inform design decisions and measure impact.
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Examples of how you've collaborated with engineering teams to ensure technical feasibility and quality execution.
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Showcase your approach to designing with or for AI, including any AI tools or methodologies employed.
📝 Enhancement Note: A strong portfolio is critical for this role, emphasizing strategic impact, design system ownership, and experience with complex enterprise B2B SaaS environments, particularly those involving AI and data.
💵 Compensation & Benefits
Salary Range: Based on industry benchmarks for Senior Product Designers in major Australian cities like Brisbane, with 5-10 years of experience in B2B SaaS, a competitive salary range is estimated to be AUD $130,000 - $180,000 per annum. This range accounts for the seniority of the role, the specialized skills in AI and design systems, and the enterprise B2B SaaS context.
Benefits:
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Flexible work location: Choose to work from home, one of Squiz's offices, or a hybrid mix.
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Work from home flexibility: Empowers individuals to balance productivity, efficiency, and lifestyle.
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Hybrid work model: Offers the benefits of both remote work and in-office collaboration.
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Ownership and creative agency: Opportunity to drive high-visibility, innovative platform strategy.
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Iterative and agile environment: Ability to iterate quickly, test bold ideas, and solve meaningful customer problems.
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Collaborative and intelligent team: Work with passionate, down-to-earth professionals who challenge the status quo.
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Commitment to work-life balance: Emphasis on flexibility to ensure a balanced life.
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Opportunity to work with modern AI-powered products in a rapidly evolving market.
Working Hours: While specific hours are not detailed, a standard full-time Australian work week is typically 38-40 hours. The emphasis on flexibility suggests that while core hours may exist for collaboration, there is likely autonomy in structuring the workday.
📝 Enhancement Note: The salary estimate is based on research of Senior Product Designer roles in Australia, considering the B2B SaaS and AI specialization. Benefits are directly extracted from the job description, emphasizing flexibility and professional growth.
🎯 Team & Company Context
🏢 Company Culture
Industry: Technology, Software, Digital Experience Platforms (DXP), AI. Squiz operates in the competitive enterprise software market, focusing on enabling organizations to create exceptional digital experiences. The company is investing heavily in AI to revolutionize content creation, optimization, and user engagement.
Company Size: While not explicitly stated, the mention of "accelerate into our next phase of growth" and "building a brand-new suite" suggests a company that is established but in a dynamic growth phase, likely falling into the medium to large enterprise category (500+ employees, based on typical enterprise DXP providers). This size implies a structured environment with opportunities for impact.
Founded: The founding date is not provided, but the company's focus on modern AI products and digital experience platforms indicates a forward-looking and adaptive organization.
Team Structure:
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The Senior Product Designer will be a core partner to Product and Engineering Leadership, suggesting a collaborative, cross-functional structure.
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The role involves acting as a key facilitator, implying close interaction with various teams beyond just design, including product management, engineering, and potentially marketing or strategy.
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The design team likely operates within an agile framework, emphasizing rapid iteration and continuous improvement. Methodology:
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Data-Driven Design: The role emphasizes designing around data-heavy and AI/ML-driven features, indicating a strong reliance on data analysis to inform design decisions and measure impact.
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Agile & Iterative: The company culture "cuts through rigid processes so you can iterate quickly, test bold ideas," aligning with agile methodologies focused on rapid prototyping and continuous feedback.
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Human-Centered & AI-Augmented: The core mission is to empower organizations to create exceptional digital experiences, with a strategic push towards AI to redefine the landscape, suggesting a blend of human-centered design principles augmented by AI capabilities.
Company Website: https://squiz.net/ (Inferred from domain_derived)
📝 Enhancement Note: Squiz appears to be an established player in the DXP market, undergoing significant innovation with a focus on AI. The culture likely values agility, collaboration, and a proactive approach to problem-solving, particularly in the design and product development spheres.
📈 Career & Growth Analysis
Operations Career Level: This role is at a Senior Product Designer level, signifying a significant level of autonomy, strategic contribution, and expertise. The individual is expected to not only execute design tasks but also to shape product strategy, lead initiatives, and mentor others implicitly through their work and collaboration. The focus on enterprise B2B SaaS and AI integration suggests a specialization within the product design field.
Reporting Structure: The Senior Product Designer will act as a "core partner to our Engineering and Product Leadership teams." This implies a reporting line likely to a Head of Product, Director of Product Design, or a similar senior leadership role within the product organization. The collaboration will be close with Engineering leads and Product Managers.
Operations Impact: The Senior Product Designer will have a direct and substantial impact on the company's flagship DXP products, particularly the new suite of AI-powered content intelligence, optimization, and AI assistant products. This role is pivotal in shaping the user experience of these high-visibility, innovative offerings, directly influencing customer adoption, satisfaction, and the company's competitive positioning in the evolving digital experience landscape. The success of these AI products hinges on effective and intuitive design, making this role critical to revenue generation and market leadership.
Growth Opportunities:
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Strategic Leadership: Opportunity to grow into a Product Design Lead or Manager role, overseeing strategy and team development for specific product areas or the entire platform.
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AI Specialization: Deepen expertise in designing AI-driven products and workflows, becoming a go-to specialist in this rapidly growing field.
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Design System Ownership: Further develop leadership in establishing and scaling complex design systems for large enterprise platforms.
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Cross-Functional Influence: Expand influence across Product, Engineering, and potentially go-to-market teams by driving strategic initiatives and fostering a design-centric culture.
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Mentorship: Opportunity to mentor junior designers and influence design practices across the organization.
📝 Enhancement Note: The role offers significant growth potential beyond individual contribution, with clear pathways into leadership and specialized expertise in AI product design within an enterprise context.
🌐 Work Environment
Office Type: Squiz offers a flexible work environment, allowing employees to work from home, one of their offices, or a hybrid mix. This suggests a modern, outcome-oriented approach to work, valuing employee well-being and productivity over traditional office-centric models. The presence of offices indicates spaces designed for collaboration, meetings, and focused work when needed.
Office Location(s): The role is open to candidates in Australia, with Brisbane, Queensland specifically mentioned as a location. Squiz likely has offices in key Australian cities, supporting their distributed workforce model.
Workspace Context:
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Collaborative Environment: The emphasis on "flexibility and connection" and the ability to "bring teams together on the spot" suggests a workspace that fosters open communication and collaborative problem-solving, whether in person or virtually.
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Technology & Tools: As a tech company focused on AI and DXP, the workspace will be equipped with modern design and collaboration tools. The Senior Product Designer is expected to leverage AI tools in their daily workflow, implying access to cutting-edge technology.
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Team Interaction: Despite the flexibility, there's an expectation of interaction, particularly for collaborative prototyping and aligning stakeholders. This suggests opportunities for regular touchpoints with Product, Engineering, and other relevant teams.
Work Schedule: The company emphasizes flexibility, indicating that while a standard full-time commitment is expected (likely 40 hours/week), there is autonomy in structuring the workday to balance personal life and professional responsibilities. This allows for efficient focus on complex design tasks and strategic planning.
📝 Enhancement Note: The work environment is designed to be flexible and supportive, catering to modern work preferences while ensuring sufficient collaboration and access to necessary tools and technologies for a Senior Product Designer.
📄 Application & Portfolio Review Process
Interview Process:
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Initial Screening: A review of your resume and portfolio to assess alignment with the role's requirements, particularly B2B SaaS experience, design system work, and AI exposure.
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Portfolio Presentation & Discussion: A session where you present selected case studies from your portfolio, demonstrating your strategic thinking, design process, facilitation skills, and impact on previous projects, especially those involving complex platforms or AI.
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Skills-Based Interview/Workshop: This may involve a design challenge or a facilitated discussion focused on problem-solving, strategic initiative shaping, and how you'd approach specific scenarios related to AI product design or design system evolution.
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Team/Leadership Interviews: Meetings with Product and Engineering leadership to assess cultural fit, collaboration style, and strategic alignment.
Portfolio Review Tips:
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Curate Strategically: Select 3-4 of your strongest case studies that best represent your experience in B2B SaaS, enterprise platforms, AI/data-heavy features, and design systems.
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Emphasize Your Role: Clearly articulate your specific contributions, responsibilities, and the decisions you made within each project. Use "I" statements where appropriate.
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Showcase Process & Impact: For each case study, detail your problem-solving process, from discovery and research to ideation, prototyping, and final execution. Quantify your impact with metrics whenever possible (e.g., conversion improvements, efficiency gains, user satisfaction scores).
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Highlight AI/Data Experience: If applicable, dedicate specific slides or sections to how you approached designing for AI or complex data, including any unique challenges and solutions.
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Demonstrate Facilitation: Be prepared to discuss how you've led workshops, facilitated discussions, and achieved consensus among diverse stakeholders.
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Visual Polish: Ensure your portfolio is visually clean, well-organized, and easy to navigate.
Challenge Preparation:
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Understand AI Product Design: Familiarize yourself with current trends and challenges in designing AI-powered products, including ethical considerations, user trust, and non-deterministic workflows.
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Design System Thinking: Be ready to discuss how you would approach scaling or evolving a design system for a complex enterprise platform.
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Strategic Problem Framing: Practice articulating problems visually and framing strategic initiatives from ambiguous starting points.
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Collaboration Scenarios: Prepare examples of how you've effectively partnered with engineering and product management.
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Company Research: Understand Squiz's DXP offerings, their focus on AI, and their market position.
📝 Enhancement Note: The interview process will heavily rely on your portfolio to demonstrate strategic thinking, execution capabilities, and experience with complex enterprise B2B SaaS products, especially those involving AI.
🛠 Tools & Technology Stack
Primary Tools:
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Design & Prototyping: Figma (highly probable for collaborative design and prototyping), Sketch, Adobe Creative Suite (Illustrator, Photoshop).
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Design System Management: Tools like Zeroheight, Storybook, or internal documentation platforms for managing design system components and guidelines.
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AI/ML Integration Tools: While not specific tools, familiarity with how AI models are integrated into user interfaces and the associated design considerations is key. This might involve working with APIs or understanding data pipelines.
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Collaboration Platforms: Slack, Microsoft Teams for daily communication and team syncs.
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Project Management: Jira, Asana, Trello for tracking tasks and project progress.
Analytics & Reporting:
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User Analytics: Tools like Google Analytics, Mixpanel, Amplitude, or Pendo to track user behavior, feature adoption, and identify areas for improvement.
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Data Visualization: Tableau, Power BI, or similar for creating dashboards and reports to communicate insights to stakeholders.
CRM & Automation:
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CRM: Salesforce, HubSpot (though less likely to be a primary tool for a designer, understanding CRM data flow is beneficial for B2B SaaS).
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Workflow Automation: Familiarity with how automated workflows function within enterprise software is important, even if not directly configuring them.
📝 Enhancement Note: Proficiency in modern design and prototyping tools, particularly Figma, is essential. Experience with design system tools and a foundational understanding of AI integration, user analytics, and data visualization will be highly advantageous.
👥 Team Culture & Values
Operations Values:
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Innovation & AI-Forward: A strong drive to explore and implement cutting-edge AI technologies to redefine digital experiences and internal processes.
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Customer-Centricity: A commitment to empowering organizations and creating exceptional digital experiences that engage users and drive growth.
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Agility & Iteration: A culture that embraces rapid iteration, quick testing of bold ideas, and cutting through rigid processes to deliver value efficiently.
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Collaboration & Connection: Valuing teamwork, bringing people together, and fostering a sense of connection despite flexible work arrangements.
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Ownership & Agency: Empowering individuals with creative control and the ability to influence high-visibility, innovative aspects of the platform.
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Pragmatism & Quality: Balancing speed with meticulous execution, ensuring feasible solutions are built without diluting design quality.
Collaboration Style:
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Cross-Functional Partnership: Close collaboration with Product and Engineering leadership is paramount, ensuring design is integrated early and throughout the development lifecycle.
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Facilitative & Inclusive: The role requires leading teams through discussions and prototyping, fostering an environment where diverse ideas can be explored and consensus is reached.
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Knowledge Sharing: An expectation to share learnings, especially regarding AI tools and design system evolution, contributing to collective team growth.
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Feedback-Driven: The agile nature suggests a culture that welcomes and acts upon feedback from peers, stakeholders, and users to continuously improve products and processes.
📝 Enhancement Note: Squiz's culture appears to be a blend of innovation, agility, and strong collaboration, underpinned by a commitment to customer success and employee empowerment. The company values a proactive, hands-on approach to problem-solving.
⚡ Challenges & Growth Opportunities
Challenges:
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Designing for Non-Deterministic AI: Crafting intuitive and reliable user experiences for AI features where outcomes can vary presents a unique design challenge. Strategies for managing user expectations and providing control will be key.
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Balancing Strategic Vision with Production Velocity: Effectively translating high-level strategic concepts into tangible, scalable design solutions while maintaining rapid iteration speed for new AI products.
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Scaling Design Systems for Complexity: Ensuring the design system remains robust, adaptable, and consistently applied across an evolving enterprise platform with increasingly complex workflows.
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Integrating AI into Existing Workflows: Seamlessly incorporating AI capabilities into user journeys and internal processes without disrupting existing user habits or creating excessive cognitive load.
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Staying Ahead of AI Advancements: Continuously learning and adapting to the rapid evolution of AI technologies and their implications for product design.
Learning & Development Opportunities:
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AI Product Design Specialization: Deepen expertise in the rapidly evolving field of AI/ML product design through hands-on work and potentially specialized training.
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Design System Leadership: Gain experience in leading the evolution and expansion of a large-scale design system for an enterprise DXP.
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Strategic Product Vision: Hone skills in shaping product strategy and vision alongside senior leadership for innovative, high-impact initiatives.
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Cross-Functional Leadership: Develop stronger capabilities in facilitating and influencing across Product, Engineering, and other business units.
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Industry Conferences & Certifications: Potential for participation in relevant design, AI, or DXP industry events and obtaining certifications.
📝 Enhancement Note: This role offers significant opportunities for professional growth by tackling cutting-edge challenges in AI product design and design system management within a dynamic enterprise software environment.
💡 Interview Preparation
Strategy Questions:
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"Describe a time you shaped a strategic product initiative from ambiguity into a validated concept. What was your process, and how did you involve stakeholders?" (Focus on framing, facilitation, and validation).
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"How would you approach designing a new AI assistant feature for content optimization? What are the key user needs and potential challenges you'd consider?" (Focus on AI design principles, user-centricity, and anticipating non-determinism).
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"Imagine our design system is showing signs of strain under new, complex workflows. What steps would you take to diagnose the issues and propose solutions for scaling it?" (Focus on design system audit, pattern identification, and evolution strategies). Company & Culture Questions:
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"What excites you most about Squiz's mission and our focus on AI-powered DXP products?" (Demonstrate research and alignment with company vision).
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"How do you approach collaboration with engineering and product management, especially when dealing with technical trade-offs or complex data?" (Highlight partnership, communication, and pragmatic problem-solving).
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"Describe a situation where you had to balance rapid iteration with maintaining a high bar for design quality. How did you achieve this?" (Showcase your ability to manage speed and polish). Portfolio Presentation Strategy:
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Structure Your Narrative: For each case study, follow a clear story arc: Problem -> Your Role -> Process -> Solution -> Impact.
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Quantify Impact: Use metrics (user engagement, efficiency, conversion, adoption rates) to demonstrate the tangible business value of your design solutions.
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Highlight AI/Data Specifics: If a case study involves AI or complex data, dedicate specific slides to explain your approach, challenges, and learnings.
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Showcase Facilitation: Be prepared to walk through how you facilitated workshops or collaborative sessions, perhaps with visual artifacts from those sessions.
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Interactive Elements: If possible, incorporate interactive prototypes or brief live demos to showcase your work and interaction design skills.
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Connect to Squiz: Frame your experience in relation to Squiz's product vision and the challenges of enterprise B2B SaaS and AI.
📝 Enhancement Note: Interview preparation should focus on demonstrating strategic thinking, hands-on design craft, AI/data design expertise, strong collaboration skills, and the ability to articulate impact through your portfolio.
📌 Application Steps
To apply for this Senior Product Designer position:
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Submit your application through the provided link on Workable.
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Tailor Your Resume: Highlight your 5+ years of B2B SaaS and enterprise platform design experience, emphasizing your work with complex workflows, design systems, and AI/data-heavy features. Use keywords from the job description.
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Curate Your Portfolio: Select case studies that best showcase your strategic thinking, facilitation skills, design system ownership, and demonstrable impact, particularly for AI-driven or data-intensive products. Ensure it's well-organized and easy to navigate.
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Prepare Your Presentation: Practice walking through your selected portfolio case studies, focusing on your role, process, strategic decisions, and quantifiable outcomes. Be ready to discuss your approach to AI design and design system scaling.
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Research Squiz: Understand their DXP offerings, their strategic direction with AI, and their market position. Prepare thoughtful questions about the role, team, and company challenges.
⚠️ 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
The role requires 5+ years of experience in B2B SaaS and enterprise platform design with a strong portfolio demonstrating scalable design systems. Candidates must possess high visual craft, strategic facilitation skills, and hands-on experience designing AI-driven or data-heavy features.