Lead Product Designer, Growth
π Job Overview
Job Title: Lead Product Designer, Growth
Company: Jobgether (Partner Company)
Location: Australia
Job Type: Full-time
Category: Product Design / Growth Design
Date Posted: 2026-08-18
Experience Level: 5-10 Years
Remote Status: Remote Solely
π Role Summary
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Lead end-to-end product design for critical growth journeys, encompassing user acquisition, activation, and retention initiatives.
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Leverage behavioral psychology and data-informed decision-making to craft engaging user experiences that drive measurable improvements in key product metrics.
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Utilize AI-native tools and rapid prototyping to accelerate concept development and facilitate experimentation.
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Contribute to the growth and development of the design team through mentorship and the enhancement of the design system.
π Enhancement Note: While this role is for a "Lead Product Designer, Growth," the responsibilities and requirements strongly lean into the domain of Growth Operations and Product Operations, particularly concerning user lifecycle management, experimentation frameworks, and data-driven optimization. The emphasis on collaboration with Data Science and Lifecycle teams, along with the focus on measurable improvements, aligns closely with operational excellence in GTM functions.
π Primary Responsibilities
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Own and drive the design of core growth-focused product experiences, including signup flows, onboarding sequences, deposit processes, rewards systems, challenges, and re-engagement strategies.
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Translate user problems and business objectives into actionable behavioral hypotheses, design interventions, and experimental product variants.
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Collaborate closely with Product Managers, Engineering, Data Scientists, and VIP/Business Development teams to define product strategy, influence roadmap priorities, and ensure effective execution.
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Employ AI-powered tools and rapid prototyping techniques to create functional, clickable experiences that enable faster decision-making and user feedback loops.
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Design and iterate on reward, retention, and progression mechanics that foster sustainable user engagement while upholding principles of transparency, fairness, and long-term user trust.
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Contribute to the evolution and maintenance of the design system, ensuring consistency, scalability, and a high bar for product quality across all growth initiatives.
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Provide constructive feedback, mentor junior designers, and foster a collaborative design culture as the team expands.
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Communicate and articulate design decisions effectively to senior stakeholders, building consensus and alignment across multidisciplinary teams.
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Explore and integrate emerging technologies, including AI-native approaches and Web3 mechanics, into product design strategies where appropriate.
π Enhancement Note: The core responsibilities highlight a strong operational focus on user lifecycle management and growth optimization, which is a key function within Revenue Operations and Sales Operations. The emphasis on "owning growth-focused product experiences end-to-end" and "designing reward, retention, and progression mechanics" directly relates to optimizing customer lifetime value and driving predictable revenue through product.
π Skills & Qualifications
Education: While no specific degree is mandated, a strong portfolio and demonstrable experience in product design, UX/UI, or a related field are essential.
Experience: 7+ years of professional product design experience, with a significant portion focused on consumer products within a high-growth startup environment.
Required Skills:
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Proven track record in growth design, with demonstrable experience in driving measurable improvements in user activation, conversion rates, retention, and monetization.
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Deep understanding and practical application of behavioral psychology principles, including reward schedules, variable reinforcement, progression systems, framing, anticipation, and loss aversion.
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Hands-on experience building with AI, including the creation of prototypes, tools, agents, or workflows, and a clear perspective on AI's role in enhancing the design process.
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Exceptional visual and interaction design skills, with expert proficiency in Figma and modern prototyping tools for rapid concept development.
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Strong familiarity with cryptocurrency and Web3 mechanics, with an understanding of their potential applications in gaming and digital products.
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High degree of autonomy, adaptability, and a low-ego approach, enabling effective operation within ambiguous and rapidly changing environments.
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Excellent communication, presentation, and collaboration skills, with the ability to influence leadership and provide actionable design feedback.
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A portfolio is mandatory, showcasing strong product design work and including a specific example of an AI-built artifact with learned insights. Preferred Skills:
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Specific experience within the iGaming industry (casino, sportsbook, poker), with a keen understanding of what makes these experiences compelling and effective.
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Experience with A/B testing frameworks and data analysis tools to inform design iterations and measure impact.
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Familiarity with design system best practices and contributions to existing systems.
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Experience in mentoring or leading design initiatives.
π Enhancement Note: The requirement for "measurable personal impact" and "measurable improvements in activation, conversion, retention, monetization" strongly suggests a data-driven and results-oriented approach, which is paramount in operations roles. The emphasis on understanding iGaming and Web3 mechanics points towards a specialized domain where operational efficiencies can significantly impact revenue and user engagement.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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Demonstrate a strong portfolio showcasing impactful product design work, with a clear focus on growth-oriented user journeys.
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Include a dedicated section or example of a project where AI was leveraged in the design or development process, detailing the tools used, the outcome, and key learnings.
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Present case studies that clearly articulate the problem statement, design process, user research, experimentation, and quantifiable results achieved (e.g., metrics improvements).
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Highlight experience in designing complex systems, such as reward mechanics, progression systems, or lifecycle management flows, and their operational implications. Process Documentation:
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Showcase an understanding of iterative design processes, including user research, wireframing, prototyping, user testing, and design system integration.
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Provide examples of how design decisions were informed by data analysis, A/B testing results, and behavioral psychology principles.
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Illustrate experience in collaborating with engineering and data science teams to implement and measure the success of designed features and experiments.
π Enhancement Note: The emphasis on a portfolio demonstrating "measurable personal impact" and "measurable improvements" is a direct parallel to operations roles that require a portfolio showcasing process optimization, ROI improvements, and successful system implementations. The requirement to showcase AI-built artifacts and learnings is akin to demonstrating proficiency in emerging operational technologies.
π΅ Compensation & Benefits
Salary Range: As the specific salary range is not provided, a competitive compensation package is expected for a Lead Product Designer role in Australia with 7+ years of experience, particularly in a high-growth tech environment. Based on industry benchmarks for senior design roles in Australia, a typical range could be AUD $150,000 - $220,000+ per annum, potentially with additional equity.
Benefits:
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Competitive compensation and equity package, reflecting the senior nature of the role and its impact on business growth.
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Flexible paid time off, offering work-life balance and autonomy.
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Remote-first working environment, providing flexibility in location within Australia.
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Fast-paced and collaborative culture, fostering innovation and rapid execution.
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Opportunity to work on high-impact consumer product experiences at the intersection of growth, gaming, AI, and emerging technology, offering significant professional development.
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Significant ownership and autonomy across product strategy, experimentation, and execution, allowing for direct influence on business outcomes.
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Opportunity to mentor designers and help shape design standards as the organization grows, contributing to leadership development.
Working Hours: While not explicitly stated, a full-time role typically implies around 38-40 hours per week. The remote-first nature suggests flexibility in daily scheduling, provided core collaboration hours are met and project deadlines are achieved.
π Enhancement Note: The salary estimation is based on typical compensation for senior-level product design roles in Australia, considering the specified experience level and the high-growth startup context. The benefits listed are standard for such positions, with a particular emphasis on autonomy and impact, which are key motivators for operations professionals as well.
π― Team & Company Context
π’ Company Culture
Industry: The company operates within the technology sector, with a specific focus on consumer products, gaming (iGaming), and emerging technologies like AI and Web3. This intersection suggests an innovative, fast-paced, and data-driven environment.
Company Size: As this is a partner company managed by Jobgether, the exact size is not specified. However, the mention of a "high-growth startup environment" and the need to "mentor designers as the team grows" implies a company that is scaling, likely past the early startup phase but still dynamic and agile.
Founded: The founding date is not provided. However, the focus on growth, AI, and Web3 suggests a relatively modern company or one that is rapidly evolving its product and technology stack.
Team Structure:
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The design team is likely growing, with a need for experienced designers to mentor others and contribute to the design system.
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This role will operate within a multidisciplinary team, requiring close collaboration with Product Managers, Engineering, Data Science, VIP/Business Development, and Lifecycle teams.
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The reporting structure is not detailed, but a "Lead" role typically implies reporting to a Head of Design or a Product Lead, with influence over design direction and execution. Methodology:
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A strong emphasis on data-informed decision-making and experimentation is evident, with close collaboration with Data Science teams.
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The design process is expected to be iterative, rapid, and experimental, leveraging AI and modern prototyping tools.
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Behavioral psychology principles are central to understanding user motivation and designing for engagement and retention.
Company Website: [Company Website Not Specified - Apply via Jobgether]
π Enhancement Note: The emphasis on a "high-growth startup environment" and "scaling" suggests an operational focus on efficiency, agility, and process optimization. The collaboration with Data Science and the use of experimentation align directly with operational excellence principles in driving business outcomes.
π Career & Growth Analysis
Operations Career Level: This role represents a senior-level individual contributor and emerging leadership position within the product design function. As a "Lead," the focus is on both hands-on design execution and influencing design strategy and team development. The responsibilities extend beyond pure design to encompass product strategy, experimentation, and mentorship, mirroring the strategic impact expected from senior operations professionals.
Reporting Structure: The Lead Product Designer will likely report into a Head of Product, Head of Design, or a senior Product Manager. They will work closely with peers in Engineering, Data Science, and Marketing/Lifecycle teams, requiring strong cross-functional collaboration skills.
Operations Impact: The impact of this role is directly tied to driving key business metrics related to user acquisition, activation, retention, and monetization. By optimizing user journeys and implementing effective growth mechanics, this role directly contributes to revenue generation and long-term customer lifetime value, a critical focus for any revenue or sales operations function.
Growth Opportunities:
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Design Leadership: Opportunity to grow into a formal design leadership role (e.g., Design Manager) as the team expands, taking on more responsibility for team strategy, hiring, and development.
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Specialization: Deepen expertise in growth design, behavioral economics, AI-driven product development, or specific industry verticals like iGaming and Web3.
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Strategic Influence: Contribute significantly to product strategy and roadmap decisions, gaining exposure to broader business objectives and executive-level discussions.
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Mentorship: Develop leadership and coaching skills by mentoring other designers, fostering a strong design culture, and contributing to the design system's evolution.
π Enhancement Note: The growth opportunities, particularly in leadership and strategic influence, are directly comparable to career progression paths in Revenue Operations and Sales Operations. The emphasis on measurable impact and driving business metrics aligns with the core objectives of operations professionals.
π Work Environment
Office Type: The company operates on a "Remote-first" model, indicating that remote work is the primary mode of operation. This suggests a distributed team structure with a focus on asynchronous communication and digital collaboration tools.
Office Location(s): While the role is based in Australia, the remote-first nature implies that physical office locations may be minimal or non-existent, with employees working from home or co-working spaces.
Workspace Context:
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The remote-first environment necessitates strong self-discipline, proactive communication, and effective use of digital collaboration tools to maintain team cohesion and productivity.
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Access to modern design and prototyping software (e.g., Figma) is expected, along with tools for collaboration, project management, and communication.
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Opportunities for interaction will primarily be through virtual meetings, Slack channels, and collaborative design sessions.
Work Schedule: A full-time role typically involves around 40 hours per week. The remote-first nature often allows for flexibility in daily scheduling, provided that critical meetings are attended and project deliverables are met. This flexibility can be beneficial for individuals who thrive on managing their own time and optimizing their work environment.
π Enhancement Note: The remote-first aspect is highly relevant for operations professionals, many of whom seek flexible work arrangements. The emphasis on asynchronous communication and digital collaboration tools is critical for distributed operations teams.
π Application & Portfolio Review Process
Interview Process:
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Initial Screening: Application review via Jobgether's AI-powered matching system, followed by a review by the hiring company's internal team.
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Portfolio Review: Candidates will likely be asked to present their portfolio, focusing on growth design case studies, AI-built examples, and demonstrable impact on key metrics. Be prepared to articulate your design process, rationale, and the results achieved.
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Skills-Based Interviews: Discussions may cover behavioral psychology applications, AI prototyping experience, iGaming/Web3 knowledge, and problem-solving scenarios related to growth challenges.
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Cross-functional Collaboration: Interviews with Product, Engineering, and Data Science stakeholders to assess collaboration style, communication skills, and ability to influence.
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Leadership/Mentorship Discussion: Evaluation of leadership potential, mentorship approach, and contributions to design systems and team development.
Portfolio Review Tips:
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Quantify Impact: For each project, clearly articulate the problem, your solution, and the measurable business impact (e.g., "Increased conversion rate by X%", "Reduced churn by Y%"). Use data and metrics prominently.
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Showcase AI Work: Clearly present your AI-built artifact, explaining the problem it solved, the tools used, your learnings, and potential future applications.
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Highlight Growth Focus: Emphasize projects that directly relate to user acquisition, activation, retention, and monetization. Detail your understanding of behavioral psychology and how it was applied.
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Structure for Clarity: Organize your portfolio logically, perhaps by project type or impact area. Use clear headings, concise descriptions, and high-quality visuals.
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Tell a Story: For each case study, weave a narrative that highlights your critical thinking, problem-solving skills, and ability to drive results.
Challenge Preparation:
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Be prepared for potential design challenges or case studies that require you to conceptualize a growth strategy or redesign a specific user flow.
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Practice articulating your thought process aloud, focusing on how you would approach problem-solving, leverage data, and incorporate behavioral psychology.
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Be ready to discuss your perspective on the future of AI in design and its practical applications in growth strategies.
π Enhancement Note: The emphasis on a portfolio that demonstrates "measurable impact" and "quantifiable results" is a core requirement that resonates deeply with operations roles. The advice on structuring case studies and presenting data is directly applicable to operations professionals preparing their own process portfolios.
π Tools & Technology Stack
Primary Tools:
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Figma: Expert proficiency is required for UI design, prototyping, and collaboration.
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Prototyping Tools: Experience with modern tools for rapid, functional prototypes (specific tools not listed, but likely Figma's built-in capabilities, Protopie, etc.).
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AI Tools: Demonstrated experience with AI-powered tools for prototyping, design assistance, or workflow automation.
Analytics & Reporting:
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Data Analysis Tools: Familiarity with tools used by Data Science teams to interpret experimentation results and user behavior data (e.g., SQL, Python for data analysis, BI platforms like Tableau/Looker, or specific product analytics tools like Amplitude/Mixpanel).
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Experimentation Platforms: Understanding of how A/B tests are set up and measured.
CRM & Automation:
- While not explicitly mentioned for design, understanding of CRM (e.g., Salesforce) and marketing automation platforms (e.g., HubSpot, Marketo) can be beneficial for context in lifecycle communications and re-engagement strategies.
π Enhancement Note: The emphasis on Figma, prototyping tools, and AI tools is crucial. For operations roles, this section would typically focus on CRM, marketing automation, BI tools, project management software, and data warehousing solutions. The underlying principle of tool proficiency for efficiency and data-driven decision-making is consistent.
π₯ Team Culture & Values
Operations Values:
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Growth Mindset: A relentless focus on driving measurable business growth through user-centric design and continuous experimentation.
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Data-Driven: Decisions are grounded in data, user research, and the results of A/B testing.
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Innovation: Embracing new technologies like AI and Web3 to create cutting-edge product experiences.
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User Trust: Designing reward and engagement mechanics that are transparent, fair, and build long-term user loyalty.
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Collaboration: Working effectively across multidisciplinary teams to achieve shared goals.
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Autonomy & Ownership: Taking initiative, operating independently, and owning outcomes.
Collaboration Style:
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Highly collaborative, working closely with Product, Engineering, and Data Science to define strategy and execute on initiatives.
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Emphasis on constructive feedback, open communication, and building consensus.
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Comfortable operating in a fast-paced, agile environment where requirements can evolve rapidly.
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Ability to influence stakeholders and defend design decisions while remaining adaptable.
π Enhancement Note: The values highlightedβgrowth mindset, data-driven approach, innovation, and collaborationβare fundamental to successful operations teams. The emphasis on autonomy and ownership is also a key characteristic of effective operations professionals.
β‘ Challenges & Growth Opportunities
Challenges:
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Balancing Growth with Sustainability: Designing mechanics that drive short-term engagement without compromising long-term user trust or the financial health of the product.
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Rapid Experimentation Cycles: Keeping pace with frequent experimentation and iteration in a fast-moving growth environment.
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Integrating AI Effectively: Identifying and implementing AI solutions that genuinely enhance the design process and user experience, rather than merely adopting new technology.
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Navigating Ambiguity: Thriving in a high-growth startup environment where priorities can shift and new opportunities emerge quickly.
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Cross-functional Alignment: Ensuring buy-in and effective collaboration across diverse teams with potentially competing priorities.
Learning & Development Opportunities:
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Deep Dive into Growth & Behavioral Economics: Extensive opportunities to apply and refine knowledge in these fields through practical design challenges.
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AI & Emerging Tech: Hands-on experience with cutting-edge AI tools and exploration of Web3 applications in product design.
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Industry Expertise: Gaining specialized knowledge in the iGaming sector and its unique user engagement drivers.
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Leadership & Mentorship: Developing leadership skills through mentoring junior designers and contributing to team growth.
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Strategic Product Input: Influencing product strategy and roadmap, providing a broader business perspective.
π Enhancement Note: The challenges and learning opportunities are framed around innovation, data-driven optimization, and strategic problem-solving, which are core to operations roles. The emphasis on adapting to change and leveraging new technologies is particularly relevant.
π‘ Interview Preparation
Strategy Questions:
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"Describe a time you used behavioral psychology principles to significantly improve a product metric. What was the hypothesis, the intervention, and the outcome?" (Focus on quantifiable results and your thought process.)
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"Walk us through a growth product experience you designed. How did you define success, what experiments did you run, and what did you learn?" (Highlight your iterative process and data utilization.)
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"How would you approach designing a new reward system for our platform to drive user retention, considering fairness and long-term engagement?" (Demonstrate strategic thinking, user empathy, and consideration of business goals.) Company & Culture Questions:
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"What interests you specifically about the iGaming industry and our company's approach to growth?" (Research the company's market position, competitors, and recent news.)
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"How do you approach mentoring junior designers and contributing to a design system?" (Showcase your leadership potential and understanding of team development.)
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"Describe your experience working with AI tools in design. What are the biggest opportunities and challenges you see?" (Articulate your perspective on AI's practical application in product development.) Portfolio Presentation Strategy:
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Prioritize Impact: Lead with your most impactful growth-related projects, clearly quantifying results.
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Tell the AI Story: Dedicate time to showcasing your AI-built artifact, explaining your process, learnings, and vision.
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Structure Your Narrative: For each project, follow a clear problem-solution-result structure. Explain your role and contributions explicitly.
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Be Data-Fluent: Be ready to discuss metrics, A/B testing, and how you used data to inform your design decisions.
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Demonstrate Behavioral Psychology Application: Clearly articulate how you applied psychological principles to design interventions.
π Enhancement Note: The interview preparation advice heavily emphasizes quantifiable results, data-driven decision-making, and strategic problem-solving, all of which are critical for operations roles. The portfolio presentation strategy mirrors the need for operations professionals to showcase process improvements and ROI.
π Application Steps
To apply for this Lead Product Designer, Growth position:
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Submit your application through the Jobgether platform.
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Curate Your Portfolio: Select 2-3 key projects that best demonstrate your growth design expertise, measurable impact, and experience with AI. Ensure your AI-built artifact is prominently featured with clear explanations.
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Optimize Your Resume: Tailor your resume to highlight your 7+ years of experience in consumer products and high-growth environments. Emphasize achievements related to user acquisition, activation, retention, and monetization using action verbs and quantifiable results.
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Prepare Your Narrative: Practice articulating your design process, your approach to behavioral psychology, and your experience with AI. Be ready to discuss the ROI of your design decisions.
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Research the Industry: Gain a solid understanding of the iGaming landscape, key growth strategies within it, and potential applications of Web3 and AI.
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
The role requires 7+ years of professional product design experience with a focus on consumer products and growth metrics. Candidates must demonstrate expertise in behavioral psychology, AI-powered prototyping, and have a strong interest in iGaming and Web3.