Product Designer Pleno
š Job Overview
Job Title: Product Designer Pleno
Company: Jobgether (on behalf of a partner company)
Location: Brazil
Job Type: Full-time, Contractor
Category: Product Design / UX/UI
Date Posted: 2026-09-16
Experience Level: Mid-Level (2-5 years)
Remote Status: Fully Remote
š Role Summary
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This role is an exciting opportunity for a Product Designer to leverage AI-assisted design workflows and contribute to innovative digital experiences within the automotive technology sector.
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You will be instrumental in the full product lifecycle, from discovery and research to prototyping and the evolution of a robust design system.
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The position emphasizes a collaborative environment where design integrates closely with development through code-based prototypes and living documentation.
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Success in this role requires a blend of creative design thinking, analytical rigor, strong communication skills, and adaptability to evolving AI tools and methodologies.
š Enhancement Note: The role is described as "Pleno," which typically translates to a mid-level position in Brazil, implying a need for demonstrated experience and the ability to work with some autonomy, but also under guidance. The focus on AI-assisted workflows and code-based prototyping indicates a forward-thinking company seeking designers who are adaptable and eager to learn new technologies.
š Primary Responsibilities
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Engage deeply in product discovery phases, collaborating with Product Managers to integrate research insights and user hypotheses into early-stage concepts.
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Conduct comprehensive qualitative and quantitative user research, including interviews, surveys, usability testing, and analysis of usage data, utilizing AI tools to streamline synthesis and insight generation.
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Develop functional, navigable prototypes directly within the design codebase, moving beyond traditional static screens towards AI-enhanced prototyping methods.
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Contribute to the evolution and maintenance of a code-based design system, ensuring consistency through reusable components, design tokens, and established interface patterns.
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Perform usability testing on code-based prototypes, systematically gather feedback, and iterate designs rapidly based on user insights and behavioral metrics.
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Define and champion design strategy, ensuring alignment of product decisions with overarching business objectives and emerging AI-enabled workflows.
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Foster close collaboration with developers, Product Managers, and other key stakeholders to ensure technical viability of designs and minimize rework during implementation.
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Create and maintain living documentation within the codebase, detailing component guidelines, design specifications, interaction patterns, and AI-driving context for consistent interface generation.
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Structure content and functionality through strategic information architecture, intuitive navigation, and optimized user flows.
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Stay abreast of emerging design trends, AI tools for product development, and industry best practices, driving continuous improvements in both product design and internal design processes.
š Enhancement Note: The responsibilities highlight a strong emphasis on research, data-driven decision-making, and a modern approach to design. The direct involvement in code-based prototyping and design system evolution suggests a need for a designer who is not afraid to work closely with engineering and understand technical constraints and possibilities. The AI aspect is integrated throughout, indicating a company at the forefront of design technology adoption.
š Skills & Qualifications
Education: While no specific degree is mandated, a Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field is often beneficial. Practical experience and a strong portfolio are prioritized over formal education.
Experience: 2-5 years of professional experience in Product Design, UX/UI Design, or a closely related role. Demonstrated experience in taking products from concept to launch, with a focus on user-centered design principles and data-informed iterations.
Required Skills:
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Professional experience in Product Design, UX/UI, or a related field.
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A strong portfolio demonstrating practical product design work, ideally including code-based prototypes.
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High proficiency in Figma for wireframing, prototyping, and UI design.
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Demonstrated knowledge of qualitative and quantitative user research methods (e.g., interviews, surveys, usability testing, A/B testing, usage data analysis).
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Experience utilizing analytics and behavioral tools (e.g., Google Analytics, Microsoft Clarity, Hotjar) to understand user behavior and evaluate design effectiveness.
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Solid understanding of UI design fundamentals: typography, color theory, iconography, layout, and creating intuitive interfaces.
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Strong UX knowledge encompassing personas, journey mapping, information architecture, user flows, and usability principles.
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Understanding of design systems, including reusable components, design tokens, and maintaining consistency.
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Knowledge of accessibility principles and practical application of WCAG guidelines.
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Excellent communication, stakeholder management, teamwork, time management, adaptability, critical thinking, and resilience.
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Ability to critically evaluate AI-generated outputs and provide necessary refinements. Preferred Skills:
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Experience with AI-assisted prototyping using tools like Claude Code or similar platforms.
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Basic front-end development knowledge (HTML, CSS, React components) to read and adjust code.
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Familiarity with Git and collaborative development workflows (branches, commits, pull requests).
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Experience creating prompts, AI-oriented documentation, or context to guide AI agents.
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A portfolio featuring functional prototypes built in code.
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Background in software development, front-end development, or digital marketing.
š Enhancement Note: The "Pleno" designation aligns with the 2-5 years of experience requirement. The emphasis on AI and code-based prototyping suggests a strong preference for candidates who are forward-thinking and willing to adapt their skillset. The inclusion of Git and front-end knowledge as "plus" indicates a desire for designers who can bridge the gap between design and development more effectively.
š Process & Systems Portfolio Requirements
Portfolio Essentials:
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A portfolio showcasing a range of product design projects, with a strong emphasis on UX/UI, user research, and iterative design processes.
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Demonstrations of how user insights and data were translated into design solutions.
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Examples of design system contributions or established components.
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Evidence of collaboration with cross-functional teams, particularly engineering.
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Crucially, a preference for portfolios that include functional prototypes built directly in code, rather than solely static mockups. Process Documentation:
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Showcase a methodical approach to product discovery, research synthesis, and solution ideation.
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Detail how user research methodologies were applied to inform design decisions.
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Illustrate the process of evolving and maintaining a design system.
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Provide examples of how collaboration with developers and stakeholders was managed to ensure successful implementation.
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Demonstrate an understanding of how to document designs and patterns, especially in a code-integrated environment.
š Enhancement Note: The portfolio requirements are highly specific, prioritizing functional, code-based prototypes. This is a key differentiator and indicates the company's commitment to a more integrated design-to-development workflow. Candidates should curate their portfolios to highlight these aspects prominently.
šµ Compensation & Benefits
Salary Range: For a Product Designer Pleno (Mid-Level) in Brazil, a competitive range for a fully remote, PJ (independent contractor) role would typically fall between R$ 7,000 to R$ 12,000 per month, depending on experience, specific skills, and the partner company's budget. This translates to approximately R$ 84,000 to R$ 144,000 annually.
Benefits:
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Fully remote work model, offering flexibility and work-life balance.
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PJ (independent contractor) engagement, providing autonomy and potential tax advantages.
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Home office allowance to support a productive remote workspace.
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Online therapy through Moodar, prioritizing mental well-being.
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Wellhub/Gympass membership for physical health and wellness.
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Access to Alura learning platform for continuous professional development and skill enhancement.
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Birthday day off for personal celebration.
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Contract renewal bonus, acknowledging long-term commitment.
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Paid company recess, offering structured time off.
Working Hours: 40 hours per week, with flexibility inherent in a remote, PJ engagement. While a standard workweek is expected, the focus is on deliverables and project completion, allowing for some autonomy in structuring work hours.
š Enhancement Note: The salary range is an estimate based on industry benchmarks for mid-level designers in Brazil, considering the PJ engagement model and the fully remote nature of the role. The benefits package is comprehensive, with a strong emphasis on professional development (Alura) and employee well-being (therapy, Gympass).
šÆ Team & Company Context
š¢ Company Culture
Industry: Automotive Technology. This sector is rapidly evolving with increasing integration of digital solutions, AI, and connected vehicle features, making it a dynamic environment for product design.
Company Size: The partner company's size is not specified, but Jobgether's platform suggests they work with a range of companies. The role's focus on evolving a design system and integrating with developers implies a company with a mature product development process, likely a mid-sized to large tech company or a fast-growing startup.
Founded: The founding date of the partner company is not provided.
Team Structure:
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The Product Design team likely consists of designers who specialize in different areas, with this role focusing on UX/UI and code-based prototyping.
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Reporting structure would typically be to a Design Lead or Head of Product, with close collaboration with Product Managers and Engineering teams.
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Cross-functional collaboration is a core aspect, emphasizing seamless interaction between design, product, and development to ensure successful product delivery. Methodology:
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Data analysis and insights are central, driving design decisions through user research and behavioral metrics.
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Workflow planning and optimization are key, especially in the context of integrating AI and code-based design.
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Automation and efficiency practices are encouraged, particularly through the use of AI tools and streamlined design-to-development handoffs.
Company Website: www.jobgether.com (for the platform facilitating the application), but the partner company's website is not specified.
š Enhancement Note: The "Automotive Technology" industry context is crucial. Designers should consider how user needs and technological advancements in this sector influence product design. The emphasis on AI and code-based workflows suggests a company that values innovation and is investing in modern development practices.
š Career & Growth Analysis
Operations Career Level: This is a Mid-Level (Pleno) Product Designer role. It requires a solid foundation of design skills, the ability to work with moderate autonomy, and a capacity to contribute meaningfully to product strategy and execution. The role is positioned to develop expertise in AI-assisted design and code-based prototyping.
Reporting Structure: The designer will likely report to a Design Manager or Lead, working closely with Product Managers and Engineering Leads. This structure allows for mentorship and guidance while fostering independence in design execution.
Operations Impact: The designer's impact will be significant, directly influencing the user experience of automotive technology products. By creating intuitive interfaces, effective user flows, and a consistent design system, they will contribute to user satisfaction, adoption rates, and ultimately, the success of the product in the market. The integration of AI also positions this role to influence the future of design processes within the company.
Growth Opportunities:
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Specialization: Deepen expertise in AI-assisted design tools, code-based prototyping, and advanced UX research methodologies.
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Leadership: Progress to Senior Product Designer roles, leading design initiatives, mentoring junior designers, and potentially taking on design strategy leadership.
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Skill Development: Leverage the Alura learning platform and exposure to cutting-edge technologies to continuously expand technical and design skills.
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Cross-Functional Mobility: Develop a strong understanding of front-end development and product management, opening avenues for related roles.
š Enhancement Note: The growth opportunities are directly tied to the unique aspects of this role, particularly the AI and code-based design elements. Emphasizing these skills in career development discussions will be beneficial for candidates looking to advance.
š Work Environment
Office Type: Fully Remote. This role is designed for individuals who thrive in a distributed work environment.
Office Location(s): While the role is remote, it is based in Brazil, suggesting potential for asynchronous collaboration with teams in different time zones, but core collaboration will likely be within Brazilian time zones or with teams that have overlapping hours.
Workspace Context:
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The remote setup requires a self-disciplined and organized approach to work.
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Access to necessary design tools (Figma) and potentially development environments is expected.
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Collaboration will primarily occur through digital communication channels (e.g., Slack, Zoom, project management tools), emphasizing clear and concise communication.
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Opportunities for interaction will be through virtual team meetings, design critiques, and collaborative brainstorming sessions.
Work Schedule: 40 hours per week, with the flexibility to manage personal schedules around core collaboration hours and project deadlines. The PJ contract offers autonomy in structuring work.
š Enhancement Note: The "fully remote" aspect is a key selling point. Candidates should be prepared to demonstrate their ability to work effectively and collaboratively in a remote setting, highlighting their self-management skills and experience with digital collaboration tools.
š Application & Portfolio Review Process
Interview Process:
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Application Screening: Initial review of applications and portfolios, with an AI-powered matching process by Jobgether to identify top candidates.
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Portfolio Review: A critical stage where the functional, code-based prototypes will be heavily scrutinized. Be prepared to walk through your design process for these projects.
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Technical/Design Interviews: Likely involving discussions on UX/UI principles, research methodologies, design system thinking, and problem-solving scenarios. Expect questions about your experience with AI tools and code-based prototyping.
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Behavioral/Culture Fit Interviews: Assessing communication skills, teamwork, adaptability, and alignment with the company's values and dynamic environment.
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Final Interview: Potentially with senior leadership or the hiring manager to discuss overall fit and strategic contributions.
Portfolio Review Tips:
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Highlight Code-Based Prototypes: Make these the centerpiece of your portfolio. Clearly explain the technology used, the challenges faced, and the benefits of this approach.
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Showcase AI Integration: If you have examples of using AI in your design process (e.g., for research synthesis, content generation, or prototyping), showcase them with clear explanations.
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Demonstrate Research Impact: For each project, clearly articulate the user research conducted, the insights gained, and how these directly influenced your design decisions and outcomes.
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Detail Design System Contributions: Explain your role in creating, evolving, or maintaining design systems, including components, tokens, and guidelines.
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Quantify Results: Wherever possible, use data and metrics to demonstrate the impact of your designs (e.g., improvements in conversion rates, user satisfaction scores, task completion times).
Challenge Preparation:
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Be ready for potential design challenges that might involve rapid prototyping, problem-solving, or critiquing existing interfaces.
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If a challenge is given, focus on a structured approach: understand the problem, define constraints, ideate solutions, prototype, and iterate.
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Practice articulating your design decisions clearly and concisely, especially when explaining technical aspects or the rationale behind using AI tools.
š Enhancement Note: The portfolio review is explicitly called out as a critical stage, with a strong emphasis on code-based prototypes. Candidates must tailor their portfolios to meet this specific requirement. The AI-powered matching by Jobgether means keywords and demonstrated skills in the application and portfolio are paramount.
š Tools & Technology Stack
Primary Tools:
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Figma: Essential for wireframing, UI design, and prototyping. High proficiency is required.
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AI-Assisted Design Tools: Openness to and experience with tools like Claude Code or similar platforms for prototyping and design generation.
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Prototyping Tools: Beyond Figma, familiarity with code-based prototyping methods is key.
Analytics & Reporting:
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Google Analytics: For understanding user traffic and behavior.
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Microsoft Clarity / Hotjar: For session recording, heatmaps, and user behavior analysis.
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Other Behavioral Analytics Tools: Any platform that provides insights into user interactions.
CRM & Automation:
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While not directly managed by the designer, understanding how design impacts CRM and automation workflows (e.g., lead generation forms, user onboarding sequences) is beneficial. Development & Collaboration:
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HTML/CSS: Basic knowledge for understanding and adjusting code.
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React: Familiarity with React components is desirable.
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Git: For version control and collaborative development workflows.
š Enhancement Note: The technology stack is heavily weighted towards modern design and development practices. Proficiency in Figma is a given, but the real differentiator will be the candidate's willingness and ability to work with AI tools and code-based prototyping. Familiarity with Git and front-end languages is a significant advantage.
š„ Team Culture & Values
Operations Values:
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Data-Driven Decision Making: Designs are informed by user research, analytics, and hypothesis testing, not just intuition.
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Collaboration & Transparency: Open communication and close partnership with Product Managers and Developers are essential.
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Continuous Improvement: A commitment to refining processes, learning new tools (especially AI), and enhancing product experiences.
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User-Centricity: A deep focus on understanding and meeting user needs to create impactful and intuitive experiences.
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Adaptability & Innovation: Embracing new technologies like AI and evolving design methodologies to stay at the forefront of the industry.
Collaboration Style:
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Cross-functional Integration: Designers work seamlessly within agile teams, contributing to all stages of the product development lifecycle.
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Iterative Feedback Loops: Regular design critiques and feedback sessions with peers, PMs, and engineers to ensure alignment and quality.
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Knowledge Sharing: An environment that encourages sharing best practices, learnings from research, and insights from using new tools.
š Enhancement Note: The culture values a blend of analytical rigor and creative problem-solving, with a strong emphasis on teamwork and continuous learning. Candidates should be prepared to discuss how they embody these values in their day-to-day work.
ā” Challenges & Growth Opportunities
Challenges:
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Integrating AI into Design Workflows: Learning to effectively leverage AI tools for research synthesis, ideation, and prototyping, and critically evaluating their outputs.
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Bridging Design and Development: Working with code-based prototypes and living documentation to minimize handoff friction and ensure seamless implementation.
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Evolving a Design System: Contributing to a dynamic design system that scales with product growth and incorporates new patterns and components.
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Navigating a Dynamic Industry: Staying current with rapid advancements in automotive technology and AI, and adapting design strategies accordingly.
Learning & Development Opportunities:
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AI Tool Mastery: Gaining expertise in cutting-edge AI-assisted design and prototyping tools.
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Code-Based Design Skills: Enhancing understanding and practical application of front-end technologies in a design context.
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Design System Expertise: Deepening knowledge in creating scalable, maintainable design systems.
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Industry Insights: Learning about the specific challenges and opportunities within the automotive technology sector.
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Professional Development: Access to Alura learning platform provides ample opportunities for skill enhancement across various domains.
š Enhancement Note: The challenges are directly linked to the innovative aspects of the role, particularly AI and code-based design. These challenges also represent significant growth opportunities for designers looking to specialize in future-forward design practices.
š” Interview Preparation
Strategy Questions:
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"Describe a time you used user research to significantly influence a product decision. How did you present your findings?" (Focus on process, data, and impact).
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"How would you approach designing a new feature for an automotive infotainment system, considering AI integration and accessibility?" (Assess problem-solving, strategic thinking, and knowledge of AI/accessibility).
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"Explain your process for evolving or contributing to a design system. What are the key considerations for maintaining consistency and scalability?" (Demonstrate understanding of design system principles).
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"Walk me through a project where you built a functional prototype in code. What were the challenges, and what were the benefits compared to a static prototype?" (Crucial for this role; highlight technical skills and iterative process). Company & Culture Questions:
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"What interests you about working in the automotive technology sector?" (Show research and genuine interest).
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"How do you stay updated on design trends and emerging technologies like AI in design?" (Demonstrate proactivity and continuous learning).
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"Describe your ideal collaboration style with Product Managers and Developers." (Highlight teamwork and communication).
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"How do you handle constructive criticism on your designs?" (Assess resilience and openness to feedback). Portfolio Presentation Strategy:
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Prioritize Code-Based Prototypes: Lead with these projects. Explain the "why" behind using code, the tools used, and the outcomes.
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Tell a Story: For each project, clearly articulate the problem, your role, the process, the solution, and the impact (quantified if possible).
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Explain AI Integration: If AI was used, clearly state how and why, and what the benefits were. Be ready to discuss its limitations.
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Be Prepared for Technical Questions: Understand the basics of HTML, CSS, and React if you claim familiarity.
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Showcase Research Rigor: Clearly link your design decisions back to user research and data.
š Enhancement Note: The interview preparation should heavily emphasize the unique aspects of the role: AI-assisted design and code-based prototyping. Candidates must be ready to demonstrate practical experience and a thoughtful approach to these areas.
š Application Steps
To apply for this operations position:
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Submit your application through the provided Jobgether link.
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Customize Your Resume: Ensure your resume highlights your experience in Product Design, UX/UI, user research, design systems, and specifically mentions any experience with AI-assisted design tools, code-based prototyping, or front-end technologies. Use keywords from the job description.
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Curate Your Portfolio: Make sure your portfolio prominently features your strongest projects, especially those with functional code-based prototypes and clear examples of user research impact. Organize it logically and ensure easy navigation.
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Prepare Your Narrative: Practice articulating your design process, decision-making rationale, and experience with AI and code-based workflows. Be ready to discuss your portfolio items in detail.
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Research the Sector: Understand the current trends and challenges in automotive technology and how design plays a role in this evolving landscape.
ā ļø Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.
Application Requirements
Requires professional experience in product design with a strong portfolio demonstrating practical UX/UI work and research methods. Proficiency in Figma is essential, along with an openness to code-based prototyping and familiarity with AI-assisted design tools.