Senior AI Product Designer

📍 Job Overview

Job Title: Senior AI Product Designer
Company: Askable
Location: Fortitude Valley, Queensland, Australia
Job Type: Full-Time
Category: Product Design / AI Product Development
Date Posted: 2026-01-22
Experience Level: 5-10 Years
Remote Status: On-site

🚀 Role Summary

• Spearhead the end-to-end design strategy and execution for a groundbreaking AI-native product, focusing on innovation and user-centricity.
• Define and implement novel interaction patterns for emerging AI capabilities, ensuring intuitive and impactful user experiences.
• Drive product-market fit through rapid prototyping, continuous user validation, and deep collaboration with product and engineering teams.
• Serve as a subject matter expert on AI developments, integrating cutting-edge insights into the design process and fostering a culture of AI-driven design within the broader organization.

📝 Enhancement Note: This role is a unique "zero-to-one" opportunity, demanding a highly proactive and visionary product designer to establish a new product line within Askable. The emphasis on AI-native design and comfort with ambiguity suggests a need for candidates who can operate with significant autonomy and shape strategic direction.

📈 Primary Responsibilities

• Product Vision & Strategy: Define the strategic vision, user experience, and overall product direction for a new AI-native research platform, from concept to launch.
• AI-Native Design: Design intuitive, engaging, and non-gimmicky AI-powered experiences, ensuring that AI capabilities are seamlessly integrated to enhance user workflows and deliver tangible value.
• Interaction Pattern Innovation: Develop and establish new interaction paradigms and design patterns for conversational, generative, and adaptive AI interfaces, setting new standards in the field.
• Cross-Functional Collaboration: Work closely with dedicated product managers and engineering teams within a cross-functional squad to rapidly prototype, test, and iterate on product features.
• User Discovery & Validation: Lead user research initiatives, including discovery and validation sessions, to identify and confirm product-market fit for the new venture.
• AI Trend Integration: Continuously research and stay abreast of the latest advancements in AI and machine learning, translating these insights into actionable design strategies and product innovations.
• Design Culture Contribution: Actively participate in and contribute to Askable's broader design community, sharing knowledge, best practices, and fostering a collaborative environment.
• Agile Development Execution: Embrace a fast-paced, iterative development cycle, prioritizing speed and learning while maintaining a high standard of design quality and substance.

📝 Enhancement Note: The responsibilities highlight a significant emphasis on pioneering new design approaches within the rapidly evolving AI landscape. Candidates must demonstrate not only proficiency in traditional product design but also a forward-thinking mindset regarding AI integration and its impact on user interaction.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio and demonstrable experience in product design, AI-driven product development, or related fields are paramount. A background in Human-Computer Interaction (HCI), Design Thinking, or Computer Science with a design focus could be advantageous.
Experience: A minimum of 5 years of experience in product design, with a substantial portion ideally within a SaaS or technology-focused environment. Experience in early-stage product development or "zero-to-one" initiatives is highly valued.

Required Skills:

• AI-Powered Product Design: Proven experience designing and shipping AI-driven products or features, demonstrating a deep understanding of AI's potential and limitations in user experiences.
• Portfolio & Case Studies: A compelling portfolio showcasing problem-solving skills, particularly in tackling novel and ambiguous challenges, with a clear demonstration of how AI tools were integrated into the design workflow.
• Interaction Design Expertise: Strong skills in interaction design, with a specific focus on conversational, generative, and adaptive interfaces, and the ability to define new patterns where none exist.
• Prototyping & Iteration: Proficiency in rapid prototyping and iterative design processes, enabling quick testing and validation of concepts with users.
• User Research & Validation: Experience conducting user discovery and validation to inform product strategy and ensure product-market fit.
• Comfort with Ambiguity: A demonstrated ability to thrive in undefined environments, moving from messy initial concepts to clear, actionable designs.
• Cross-Functional Collaboration: Proven ability to collaborate effectively with product managers, engineers, and other stakeholders in a fast-paced team setting.
• AI Tool Proficiency: Familiarity and practical application of various AI tools throughout the design process, beyond just conceptual understanding.

Preferred Skills:

• SaaS & B2B Design: Experience designing for productivity, research, or B2B SaaS tools, providing context for enterprise user needs and workflows.
• Design Systems: Experience contributing to or building design systems, ensuring consistency and scalability across product offerings.
• Generative AI & Large Language Models (LLMs): Specific experience designing interfaces that leverage generative AI capabilities or interact with LLMs.
• Agile/Scrum Methodologies: Familiarity with agile development frameworks and their application in product design.

📝 Enhancement Note: The emphasis on "how you work, not just what you've shipped" and "demonstrated use of AI tools throughout your design workflow" indicates that candidates should be prepared to detail their process, including specific AI tools used for ideation, research synthesis, wireframing, or prototyping.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• AI Integration Case Studies: Showcase at least 1-2 detailed case studies of AI-powered products or features designed. These should clearly articulate the problem, your design process, the AI components involved, and the outcomes.
• Ambiguity & Zero-to-One Experience: Highlight projects where you navigated significant ambiguity or were involved in the early stages of product development (zero-to-one), demonstrating your ability to define direction from scratch.
• AI Tool Workflow Demonstration: Explicitly detail how you utilized AI tools (e.g., for ideation, content generation, user research analysis, prototyping assistance) within your design workflow for specific projects.
• Interaction Pattern Innovation: Present examples where you defined new interaction patterns, especially for novel interfaces or emerging technologies like AI. Quantify impact where possible, or clearly articulate the strategic reasoning.

Process Documentation:

• Iterative Design & Validation: Demonstrate a structured approach to iterative design, including how user feedback and validation loops were integrated at various stages of a project.
• Cross-Functional Workflow: Illustrate how you collaborated with engineering and product teams, showing examples of handoffs, feedback sessions, and joint problem-solving.
• AI Research & Application: Document your process for staying current with AI trends and how you translate that knowledge into practical design solutions and product features.

📝 Enhancement Note: The portfolio requirements are heavily weighted towards demonstrating practical experience with AI in design and navigating early-stage product development. Candidates should prepare to walk through their design process in detail, emphasizing their strategic thinking and hands-on use of AI tools.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior AI Product Designers in Brisbane, Australia, with 5-10 years of experience, a competitive annual salary range is estimated to be AUD $140,000 - $190,000. This range accounts for the specialized nature of AI product design, the seniority of the role, and the cost of living in Brisbane.

Benefits:

• Competitive Salary: A strong remuneration package reflecting the seniority and specialized skills required for this role.
• Askable Days: A unique benefit providing an additional paid day off each month, totaling 7 weeks of annual leave per year, promoting work-life balance and employee well-being.
• Daily Lunch: A provided, mostly healthy, and delicious lunch daily, contributing to employee convenience and fostering a communal office environment.
• Free Public Transport: Commuting to and from the office is facilitated with free public transport, reducing personal expenses and environmental impact.
• Comprehensive Health & Wellness Programs: While not explicitly detailed, companies of this nature typically offer robust health insurance, mental health support, and wellness initiatives.
• Professional Development: Opportunities for continuous learning, attending industry events, and skill enhancement related to AI and product design.

Working Hours: The role is structured around a standard 40-hour work week, typical for full-time positions, allowing for focused work and integration into the team's collaborative rhythm.

📝 Enhancement Note: The salary estimate is based on aggregated data from Australian job boards and industry salary surveys for senior-level design roles with AI specialization in major Australian cities. The "Askable Days" benefit is a significant differentiator, offering substantial additional paid leave.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / Software as a Service (SaaS), specifically focused on User Research Platforms and now expanding into AI-Native Product Research. The company operates within a dynamic and rapidly evolving tech landscape. Company Size: Askable is a growing company with offices in Brisbane, London, and Chicago, indicating a mid-size organization with established operations and a clear growth trajectory. This size typically allows for both structured processes and agile decision-making. Founded: 2017. Askable was founded with a clear mission to disrupt traditional research processes, evolving from an initial idea to a globally recognized platform. This history suggests a culture of innovation, problem-solving, and a commitment to user needs.

Team Structure:

• Dedicated Venture Team: The Senior AI Product Designer will join a specialized, cross-functional team focused on the new AI product venture. This team will likely consist of product management, engineering, and design roles working in close proximity.
• Reporting Line: The role reports to the Head of Product for the new venture, indicating direct leadership involvement in the strategic direction of the AI product.
• Broader Collaboration: While part of a dedicated squad, there's an expectation to collaborate and share knowledge with the wider design, product, and engineering teams across Askable's global offices, fostering a connected and learning-oriented organization.

Methodology:

• User-Centricity: A core tenet, evidenced by the focus on user research, validation, and building platforms that "make quality research accessible to everyone."
• Data-Driven Insights: While not explicitly stated for this new venture, Askable's existing platform relies on providing insights, suggesting a culture that values data in decision-making.
• Agile & Iterative Development: The emphasis on "ship fast, learn faster" and rapid prototyping points to an agile methodology, encouraging quick cycles of development, testing, and refinement.
• Culture-First Approach: Askable places a strong emphasis on culture, even publishing a "Culture Book," indicating a deliberate effort to foster a positive, collaborative, and fulfilling work environment.

Company Website: https://askable.com/

📝 Enhancement Note: Askable's strong emphasis on culture and its journey from a simple idea to a global platform suggest an environment that values initiative, collaboration, and a shared vision. The new AI venture will likely blend the agility of a startup with the resources of an established company.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a senior individual contributor level. As a Senior AI Product Designer, the focus is on strategic design leadership, innovation, and execution within a specialized domain. It represents a significant step for designers looking to deepen their expertise in AI product development and shape a product from its inception. Reporting Structure: The Senior AI Product Designer will report directly to the Head of Product for the new AI venture. This close reporting line offers significant visibility and influence over the product's direction and ensures direct mentorship from a product leader. Operations Impact: The designer will have a profound impact on the success of a new, strategic venture for Askable. By defining the product's core user experience and driving its product-market fit, they will directly influence Askable's expansion into the AI-native product research space and contribute significantly to the company's overall revenue and market position.

Growth Opportunities:

• Specialization in AI Product Design: Deepen expertise in designing for cutting-edge AI technologies, becoming a leader in this rapidly growing field.
• Product Strategy & Vision: Gain hands-on experience in shaping product strategy and vision from the ground up, moving beyond execution to influence direction.
• Leadership Potential: As the venture grows, opportunities may arise to lead design efforts, mentor junior designers, or transition into product leadership roles.
• Cross-Functional Acumen: Develop a broad understanding of product development lifecycle, business strategy, and engineering challenges through close collaboration.
• Industry Influence: Contribute to defining new standards and best practices in AI-driven product design, potentially leading to industry recognition.

📝 Enhancement Note: This role offers a rare opportunity to be at the forefront of AI product development, providing a steep learning curve and significant potential for career advancement within a specialized and high-demand field.

🌐 Work Environment

Office Type: The role is based in an in-person office environment in Fortitude Valley, Brisbane. This suggests a collaborative workspace designed to foster team interaction, idea-sharing, and focused work sessions. Office Location(s): The office is located at 2 King St, Fortitude Valley, QLD 4006, Australia. This is a well-established commercial area within Brisbane, likely offering good accessibility and proximity to amenities. Workspace Context:

• Collaborative Hub: The office environment is designed to facilitate collaboration, essential for a cross-functional team working on a new venture. Expect shared workspaces, meeting rooms, and areas conducive to brainstorming.
• Technology & Tools: As a tech company, the office will be equipped with modern technology and the necessary tools for design, prototyping, and communication, supporting the fast-paced development cycle.
• Team Interaction: The on-site nature encourages regular face-to-face interaction with team members, fostering stronger relationships, quicker problem-solving, and a shared sense of purpose.
• Company Culture Integration: Being in the office allows for full immersion in Askable's unique culture, including participation in daily routines like shared lunches and team events.

Work Schedule: A standard 40-hour work week is expected, with the flexibility inherent in a tech environment, likely allowing for some autonomy in managing daily schedules while ensuring availability for team collaboration and key meetings.

📝 Enhancement Note: The on-site requirement is a deliberate choice to foster the intensive collaboration and rapid iteration needed for a "zero-to-one" product launch. Candidates should be comfortable with this environment and its benefits for team cohesion and creative output.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your application, resume, and portfolio to assess alignment with the role's core requirements, particularly AI experience and design methodology.
• Hiring Manager Interview: A conversation with the Head of Product for the AI venture to discuss your background, motivations, and high-level approach to AI product design and early-stage development.
• Design Challenge / Portfolio Deep Dive: This stage will likely involve either a practical design challenge focused on AI interaction or a thorough review and discussion of your portfolio case studies. Expect to articulate your design decisions, process, and the impact of your work, with a specific focus on AI tool usage and ambiguity management.
• Cross-Functional Team Interview: An opportunity to meet with members of the product and engineering team to assess collaboration style, technical understanding, and cultural fit.
• Final Interview: Potentially a discussion with senior leadership to confirm strategic alignment and overall suitability for the role and company.

Portfolio Review Tips:

• Curate for AI & Ambiguity: Select 2-3 of your strongest projects that best showcase your experience with AI-powered products, your design process involving AI tools, and your ability to navigate undefined problems.
• Structure Your Narrative: For each case study, clearly outline the problem, your role, the constraints, your design process (emphasizing AI tool integration), key decisions, challenges faced, solutions implemented, and measurable outcomes. Use visuals effectively.
• Quantify Impact: Wherever possible, provide metrics or data that demonstrate the success of your designs. Even for early-stage concepts, articulate the hypotheses tested and the learnings gained.
• Articulate Your AI Workflow: Be prepared to specifically discuss how you used AI tools in your design process – e.g., for ideation, generating design variations, analyzing user feedback, creating content, or even assisting with prototyping.
• Show, Don't Just Tell: Be ready to walk through your prototypes or key design artifacts and explain your rationale behind specific interaction patterns or design choices.

Challenge Preparation:

• AI-Centric Problem Solving: If a design challenge is given, anticipate problems related to AI interaction, user trust in AI, or defining new use cases for AI in research.
• Process & Strategy Focus: Prepare to discuss your strategic approach to product design, including how you prioritize features, conduct research, and collaborate within a team.
• Communication Clarity: Practice articulating complex ideas clearly and concisely, especially when explaining technical concepts or design decisions to a non-design audience.

📝 Enhancement Note: The interview process is designed to rigorously assess not only design skills but also the candidate's specific expertise in AI product design, their ability to thrive in ambiguity, and their collaborative spirit within a lean, agile team.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping Software: Proficiency in industry-standard tools such as Figma, Sketch, Adobe Creative Suite (XD), or similar platforms for wireframing, UI design, and interactive prototyping.
• AI Design Assistants/Tools: Experience with AI tools that can aid in the design process, such as AI-powered ideation tools, content generation assistants (e.g., Jasper, Copy.ai), user research analysis tools, or AI-assisted prototyping platforms.
• Collaboration Platforms: Familiarity with tools like Slack, Microsoft Teams, or similar for real-time communication and team coordination.

Analytics & Reporting:

• User Analytics Tools: Experience with tools like Amplitude, Mixpanel, Google Analytics, or Hotjar to understand user behavior, track engagement, and inform design decisions.
• A/B Testing Platforms: Familiarity with A/B testing methodologies and tools to validate design hypotheses and optimize user flows.

CRM & Automation:

• CRM Systems (General Understanding): While not a direct CRM role, understanding how product design impacts user journeys within a CRM context (especially for B2B SaaS) is beneficial.
• Project Management Software: Experience with tools like Jira, Asana, Trello, or Monday.com for managing design tasks, sprints, and project workflows.

📝 Enhancement Note: The emphasis on AI tools in the design workflow suggests that candidates should be prepared to discuss specific AI applications they have used, rather than just general AI knowledge.

👥 Team Culture & Values

Operations Values:

• AI-Native Curiosity: A genuine passion for exploring and understanding AI, constantly experimenting with new tools and forming informed opinions about its future.
• Comfort with Ambiguity: Embracing uncertainty and thriving in environments where clear paths are not yet defined, turning ambiguity into opportunities for innovation.
• Teamwork & Collaboration: Prioritizing collective success and finding fulfillment in achieving goals as a team, coupled with the emotional maturity to give and receive constructive feedback.
• Independence & Ownership: Taking initiative, managing one's own workflow, proactively solving problems, and taking full responsibility for achieving set objectives.
• Speed with Substance: Balancing rapid execution with a commitment to quality, understanding when to iterate quickly and when to refine for impact.

Collaboration Style:

• Cross-Functional Integration: Working seamlessly with product managers and engineers, fostering open communication and shared understanding of goals and challenges.
• Feedback-Driven: Actively seeking and providing constructive feedback to elevate the team's work and product quality.
• Knowledge Sharing: A willingness to share insights, learnings, and best practices, particularly around AI and design, to benefit the broader Askable organization.
• Agile & Iterative: Embracing a dynamic workflow that allows for continuous improvement and adaptation based on user insights and market changes.

📝 Enhancement Note: Askable's explicitly stated values are central to their operation. Candidates should demonstrate how their personal work ethic and collaboration style align with these principles, particularly the "AI-native curiosity" and "comfort with ambiguity" aspects crucial for this venture.

⚡ Challenges & Growth Opportunities

Challenges:

• Defining a New Market Category: Establishing product-market fit for an AI-native research product in a rapidly evolving and competitive landscape.
• Navigating AI Uncertainty: Designing for AI capabilities that are still emerging and subject to rapid change, requiring adaptability and foresight.
• Balancing Innovation with Usability: Ensuring that cutting-edge AI features are intuitive and accessible to users, avoiding overly complex or "gimmicky" experiences.
• Rapid Iteration Pace: Maintaining design quality and strategic direction while working within a fast-paced, iterative development cycle.
• Building User Trust in AI: Designing experiences that foster user confidence and trust in AI-driven insights and functionalities.

Learning & Development Opportunities:

• Deep AI Expertise: Becoming a specialist in AI product design, a highly sought-after skill set with significant future potential.
• Foundational Product Building: Gaining invaluable experience in the foundational stages of product development, from concept to market validation.
• Strategic Influence: Opportunities to directly influence product strategy, vision, and roadmap, contributing to business growth.
• Industry Exposure: Engaging with the forefront of AI technology and its application in product development.
• Mentorship: Learning from experienced product and engineering leaders within Askable.

📝 Enhancement Note: The challenges presented are inherent to pioneering a new product in a nascent field. Candidates should view these not as obstacles but as opportunities for significant professional growth and impact.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used AI tools to significantly enhance your design process. What were the tools, and what was the impact?" (Focus on demonstrating AI tool proficiency and workflow integration.)
• "Imagine we want to build an AI feature that helps researchers synthesize qualitative data more efficiently. What are your initial thoughts on potential interaction patterns and key considerations?" (Assess ability to innovate on AI interactions and think strategically.)
• "How do you approach designing for ambiguity in a zero-to-one product setting? Walk us through a past example." (Evaluate comfort with uncertainty and structured problem-solving.)
• "What are the biggest ethical considerations when designing AI-powered products, and how do you address them?" (Gauge awareness of AI ethics and responsible design practices.)

Company & Culture Questions:

• "What excites you most about Askable's mission and its expansion into AI-native products?" (Assess alignment with company vision and industry.)
• "How do you contribute to a positive and collaborative team culture, especially when working in a fast-paced, on-site environment?" (Understand teamwork and cultural fit.)
• "What does 'speed with substance' mean to you in a product design context?" (Evaluate approach to balancing velocity and quality.)

Portfolio Presentation Strategy:

• Storytelling with Data: Frame your case studies as compelling narratives. Start with the problem, detail your journey (including AI tool usage and challenges), and conclude with the impact, using data to support your claims.
• Highlight AI Workflow: For each relevant project, dedicate specific time to explaining how AI tools were integrated into your process – from ideation to iteration. Show, don't just tell.
• Focus on Ambiguity Navigation: For zero-to-one projects, emphasize your role in defining requirements, establishing direction, and making critical decisions with incomplete information.
• Interactive Walkthrough: Be prepared for interactive elements where you might be asked to elaborate on specific design decisions or explore alternative solutions live.

📝 Enhancement Note: Candidates should anticipate questions that probe their specific experience with AI in design, their ability to operate in an ambiguous, early-stage environment, and their alignment with Askable's core values and collaborative culture.

📌 Application Steps

To apply for this Senior AI Product Designer position:

• Submit your application through the provided link on Askable's Teamtailor portal.
• Portfolio Customization: Curate your portfolio to prominently feature 1-2 projects demonstrating your AI product design experience and your process for using AI tools. Ensure your "zero-to-one" or ambiguity-handling projects are clearly highlighted.
• Resume Optimization: Tailor your resume to emphasize keywords related to AI product design, interaction design for AI, rapid prototyping, user research, and experience in SaaS or early-stage ventures. Quantify achievements wherever possible.
• Interview Preparation: Practice articulating your design process, especially your AI workflow, and prepare detailed examples for behavioral questions related to collaboration, ambiguity, and problem-solving. Rehearse your portfolio presentation.
• Company Research: Familiarize yourself with Askable's existing platform, their company culture (referencing their Culture Book if possible), and their strategic move into AI-native products. Understand their mission to make research accessible.

⚠️ 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.