Visual Designer, Product
📍 Job Overview
Job Title: Visual Designer, Product
Company: Luma
Location: SF Bay Area, CA (Hybrid)
Job Type: Full-Time
Category: Product Design / Visual Design
Date Posted: May 13, 2026
Experience Level: 5-10 years
Remote Status: Hybrid (3 days in office)
🚀 Role Summary
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Spearhead the visual quality and aesthetic standards of a multimodal AI product, focusing on elevating user experience through exceptional craft and attention to detail.
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Develop, own, and maintain a comprehensive design system, ensuring scalability, consistency, and efficiency for product development teams.
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Leverage AI coding tools to translate design system components into interactive, live versions for seamless integration by engineers and designers.
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Act as the primary guardian of visual quality, establishing and advocating for high design standards across all product touchpoints.
📝 Enhancement Note: This role is deeply embedded within the product development lifecycle of an AI company. While not a direct Revenue Operations or Sales Operations role, the emphasis on design systems, product quality, and collaboration with engineering and design teams requires a similar mindset for process efficiency, scalability, and measurable impact on user adoption and satisfaction, which are key GTM metrics. The successful candidate will need to demonstrate an understanding of how design impacts user perception and, by extension, product success.
📈 Primary Responsibilities
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Visual Design Audit & Elevation: Conduct thorough audits of the entire product experience, identifying areas for visual improvement in typography, color palettes, iconography, spacing, and overall component design. Drive the implementation of these enhancements to raise the product's visual quality.
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Design System Development & Ownership: Architect, build, and maintain the company's design system within Figma. This includes defining design tokens, creating reusable components, and establishing clear usage guidelines to empower designers and engineers.
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AI-Assisted Prototyping & Implementation: Utilize AI coding tools (e.g., Cursor, Claude Code) to build interactive prototypes and live versions of design system components, bridging the gap between design and engineering for faster feature development.
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Quality Assurance & Design Advocacy: Serve as the team's expert on visual design quality, setting benchmarks for excellence and consistently advocating for design integrity in all product-related discussions and decisions.
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Cross-Functional Collaboration: Work closely with product managers, engineers, and other designers to ensure design vision is aligned with product strategy and technical feasibility.
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User Experience Enhancement: Continuously seek opportunities to improve the user's interaction with the product through refined visual cues, intuitive interfaces, and a cohesive aesthetic.
📝 Enhancement Note: The responsibility to "Build and own the design system" and "Bring the design system to life" using AI coding tools indicates a significant focus on operationalizing design. This goes beyond traditional visual design by requiring the candidate to create scalable, usable assets that directly impact engineering workflows and product iteration speed. This is akin to building operational infrastructure for design.
🎓 Skills & Qualifications
Education: While no specific degree is mandated, a strong foundation in design principles is essential. A Bachelor's degree in Graphic Design, Interaction Design, Human-Computer Interaction, or a related field is often preferred in such roles.
Experience: 5+ years of professional experience in visual design and UI design, with a proven track record of shipping high-quality product experiences.
Required Skills:
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Exceptional Visual Craft: Demonstrated mastery of typography, color theory, layout design, iconography, and visual hierarchy, as evidenced by a strong portfolio.
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Systems Thinking: Ability to conceptualize and build scalable design systems, understanding how individual elements contribute to a cohesive and consistent user experience.
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Figma Proficiency: Advanced skills in Figma for UI design, prototyping, and design system management.
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AI Coding Tool Utilization: Practical experience using AI coding tools (e.g., Cursor, Claude Code) to generate functional design components or prototypes.
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Design System Development: Experience in creating, documenting, and maintaining design tokens and component libraries.
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Interaction Design Principles: Understanding of user interaction flows and the ability to design intuitive and engaging interfaces.
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Strong Communication & Advocacy: Ability to articulate design decisions, provide constructive feedback, and champion design quality.
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Portfolio of Shipped Work: A comprehensive portfolio showcasing successful product launches and demonstrable impact on visual quality.
Preferred Skills:
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Experience designing for creative production tools or complex workflow software.
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Familiarity with design token systems and their integration with code.
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Experience building interactive component libraries or live design systems with AI tools.
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Experience designing for desktop applications.
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Understanding of accessibility standards in design.
📝 Enhancement Note: The emphasis on "building real things with AI" and "AI coding tools like Cursor or Claude Code" signifies a move towards operationalizing design. This requires a candidate who can not only design but also understand the implementation pipeline and leverage technology to accelerate it. This is a key differentiator for operations-minded professionals who focus on efficiency and scalability.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
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Demonstration of Visual Craft: Showcase high-fidelity mockups and visual assets that clearly highlight expertise in typography, color, iconography, and overall aesthetic quality.
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Design System Case Study: Present a detailed case study of a design system you have built or significantly contributed to, explaining its structure, components, tokens, and the process of its creation and adoption.
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AI-Assisted Design Implementation: Include examples or descriptions of how you've used AI tools to build functional design components, prototypes, or to streamline the design-to-code process, demonstrating tangible outputs.
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Product Impact & Iteration: Feature projects that have been shipped to production, with clear explanations of the design challenges, your solutions, and the impact on product quality or user experience.
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Scalability & Consistency: Evidence of how your design work promotes consistency and scalability across product features and platforms.
Process Documentation:
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Design System Documentation: Examples of clear, concise documentation for design tokens, components, and their usage guidelines, suitable for both design and engineering teams.
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Workflow Optimization: Showcase how your design process or contributions have led to increased efficiency or reduced friction in product development workflows.
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AI Tool Integration Strategy: Describe your approach to integrating AI tools into the design process for tangible output generation and efficiency gains.
📝 Enhancement Note: For operations professionals, a portfolio is crucial for demonstrating process ownership and impact. This role requires a portfolio that not only showcases visual excellence but also the ability to operationalize design through systems and AI, highlighting efficiency, scalability, and measurable results in production.
💵 Compensation & Benefits
Salary Range: Given the "5+ years of experience" and "SF Bay Area" location, a competitive salary range for a Visual Designer, Product role in this market would typically fall between $130,000 - $180,000 annually. This can vary based on the candidate's specific experience, the company's funding stage, and the exact responsibilities.
Benefits:
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Relocation Assistance: Provided for candidates outside the Bay Area, facilitating a smooth transition.
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Health Insurance: Comprehensive medical, dental, and vision insurance plans.
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Stock Options/Equity: Potential for equity in a growing AI startup, aligning employee success with company growth.
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Paid Time Off: Generous vacation, sick leave, and paid holidays.
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Professional Development: Opportunities for learning and growth, including attending industry conferences or workshops.
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Hybrid Work Model: Flexibility to work from home while maintaining in-office collaboration.
Working Hours: Approximately 40 hours per week, with flexibility expected. The hybrid model requires 3 days in the Redwood City office, allowing for focused work and collaboration.
📝 Enhancement Note: The salary range is an estimate based on industry benchmarks for experienced Visual Designers in the SF Bay Area and the AI/Tech sector. It aims to provide a realistic expectation for candidates. The benefits are standard for tech companies but are highlighted to show the comprehensive package offered.
🎯 Team & Company Context
🏢 Company Culture
Industry: Artificial Intelligence (AI), specifically focused on multimodal AI that expands human imagination.
Company Size: Luma is a rapidly growing startup. While the exact current size isn't specified, its focus on product development and design systems suggests a team structure that is agile and collaborative, likely ranging from 50-200 employees.
Founded: Luma was founded with a mission to build advanced AI capabilities, indicating a forward-thinking and innovative culture.
Team Structure:
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The Visual Designer will be part of the Product Design team, working closely with Product Managers and Engineers.
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Reporting structure likely involves a Design Lead or Head of Product.
Methodology:
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Data-Driven Design: While visual design is craft-first, insights from user data and product analytics will inform design decisions and prioritization.
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Agile Development: The product development process is likely agile, requiring designers to be adaptable and responsive to evolving requirements.
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Iterative Improvement: A core philosophy of continuously improving the product's visual quality and user experience.
Company Website: luma.ai
📝 Enhancement Note: As an AI startup, Luma likely fosters a culture of innovation, rapid iteration, and a strong emphasis on cutting-edge technology. The design team is expected to be highly skilled and influential in shaping the user experience of complex AI products.
📈 Career & Growth Analysis
Operations Career Level: This role is at a mid-to-senior level within the Product Design function. It requires significant experience and the ability to operate with a high degree of autonomy, particularly in developing and maintaining the design system. It's a specialized role focusing on visual craft and systemization.
Reporting Structure: The Visual Designer will likely report to a Design Lead, Head of Product, or a Director of Design. Collaboration will be extensive with engineering teams and product managers.
Operations Impact: The impact of this role is substantial, directly influencing user perception, adoption rates, and overall product satisfaction. By creating a robust design system and elevating visual quality, the designer enables:
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Faster Development Cycles: A well-defined system reduces design and engineering overhead for new features.
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Consistent User Experience: Ensures brand consistency and predictability, which builds trust and reduces user confusion.
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Enhanced Product Appeal: A beautiful and intuitive product can be a significant competitive differentiator, impacting market perception and user acquisition.
Growth Opportunities:
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Design Leadership: Potential to grow into a Design Lead or Manager role, overseeing design strategy and team growth.
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Specialization: Deepen expertise in AI product design, design systems, or interaction design.
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Cross-Functional Expertise: Gain broader experience in product management or engineering through close collaboration.
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Impactful Product Contribution: Contribute to the growth of a cutting-edge AI company, with potential for significant equity upside.
📝 Enhancement Note: For operations professionals, understanding the "impact" and "growth" aspects are key. This role offers a direct line of sight to product success metrics and a clear path for career progression within a high-growth tech environment, emphasizing scalability and efficiency in design processes.
🌐 Work Environment
Office Type: Luma is a hybrid workplace, requiring 3 days per week in their Redwood City office. This suggests an environment that blends focused individual work with collaborative team sessions.
Office Location(s): Redwood City, CA. This location is part of the broader SF Bay Area tech ecosystem, offering access to talent and innovation.
Workspace Context:
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Collaborative Spaces: The office likely provides meeting rooms and open areas designed for brainstorming, design reviews, and cross-functional team syncs.
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Tools & Technology: Access to high-performance workstations, design software (Figma), and AI coding tools will be standard.
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Team Interaction: Opportunities for spontaneous discussions, mentorship, and building strong working relationships with fellow designers, engineers, and product managers.
Work Schedule: The standard working hours are approximately 40 per week. The hybrid nature allows for some flexibility in structuring the work week, balancing remote focus with in-office collaboration days. This schedule supports the need for deep work in design and system development, as well as essential team interactions.
📝 Enhancement Note: The hybrid model is a critical operational consideration. It requires a candidate comfortable with both remote and in-office work, managing their time effectively across different environments to maximize productivity and collaboration.
📄 Application & Portfolio Review Process
Interview Process:
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Initial Screening: A recruiter or hiring manager will review your application, focusing on your resume and portfolio link.
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Portfolio Review & Discussion: A dedicated session to walk through your portfolio. Expect to discuss specific projects, your design process, your role in the work, and the impact achieved. Be prepared to discuss your experience with design systems and AI tools.
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Design Challenge/Exercise: You may be given a design problem to solve, either as a take-home assignment or a live exercise, to assess your problem-solving skills, visual design capabilities, and approach to system design.
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Team/Cross-Functional Interviews: Meetings with potential team members (designers, engineers, product managers) to assess cultural fit, collaboration style, and technical understanding.
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Final Interview: Typically with a senior leader (e.g., Head of Design, VP of Product) to discuss strategic alignment, career aspirations, and overall fit.
Portfolio Review Tips:
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Curate Strategically: Select 3-5 of your strongest projects that best demonstrate your visual craft, design system experience, and ability to use AI tools for tangible outputs.
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Tell a Story: For each project, clearly articulate the problem, your role, your process, the challenges you faced, your solutions, and the measurable outcomes or impact.
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Highlight Systems & AI: Explicitly showcase your design system work and any examples of using AI tools to create or implement designs. Explain the "why" behind your system design choices.
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Focus on Production Work: Emphasize projects that shipped and had a real-world impact.
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Be Ready to Discuss Details: Prepare to dive deep into specific design decisions, rationale, and technical considerations.
Challenge Preparation:
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Understand the Problem: Thoroughly analyze any design challenge presented. Ask clarifying questions.
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Think Systematically: Approach the problem with a focus on scalable solutions and design system principles.
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Leverage AI (if applicable): If the challenge involves AI tools or could benefit from AI assistance, demonstrate your proficiency.
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Communicate Your Process: Clearly explain your thought process and how you arrive at your solutions.
📝 Enhancement Note: For operations candidates, the emphasis on "process," "systems," and "impact" in the interview and portfolio review is paramount. Frame your experience around efficiency, scalability, and measurable results, aligning with the operational aspects of design and product development.
🛠 Tools & Technology Stack
Primary Tools:
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Figma: The core tool for UI design, prototyping, and design system management. Mastery is essential.
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AI Coding Tools: Cursor, Claude Code, or similar AI-assisted development environments for building interactive design system components and prototypes.
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Prototyping Tools: Potentially others like Principle, ProtoPie, or Figma's built-in prototyping features for more complex interactions.
Analytics & Reporting:
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Product Analytics Platforms: (e.g., Amplitude, Mixpanel, Google Analytics) to understand user behavior and product usage, informing design decisions.
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User Feedback Tools: (e.g., UserTesting.com, Hotjar) for gathering qualitative insights.
CRM & Automation: While not directly used by the designer, understanding how design impacts CRM and sales tools can be beneficial for GTM alignment.
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CRM Systems: (e.g., Salesforce, HubSpot) - awareness of how product design influences user journeys within these systems.
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Collaboration Tools: Slack, Jira, Notion for team communication and project management.
📝 Enhancement Note: Proficiency in Figma is non-negotiable. The critical differentiator for this role, particularly for operations-minded candidates, is the demonstrated ability and willingness to use AI coding tools to bridge design and development, operationalizing design assets.
👥 Team Culture & Values
Operations Values:
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Craftsmanship & Excellence: A deep commitment to high-quality visual design and meticulous attention to detail.
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Systematic Thinking: Valuing consistency, scalability, and the creation of robust frameworks (like design systems) to ensure quality.
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Innovation & Forward-Thinking: Embracing new technologies, particularly AI, to push the boundaries of design and product development.
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Collaboration & Partnership: Working effectively with cross-functional teams to achieve shared goals and deliver exceptional products.
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Impact-Driven: Focusing on design decisions and efforts that yield measurable improvements in user experience and product success.
Collaboration Style:
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Integrated Design: Designers are not siloed but are integral members of product teams, working closely with engineers and PMs from concept to launch.
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Feedback-Oriented: Openness to constructive criticism and a culture of providing helpful feedback to elevate everyone's work.
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Knowledge Sharing: Encouraging the sharing of best practices, new techniques, and insights, particularly around design systems and AI tools.
📝 Enhancement Note: The "operations values" here are interpreted through the lens of design, emphasizing efficiency, scalability, and measurable outcomes. A candidate who can articulate how their design process contributes to operational excellence will stand out.
⚡ Challenges & Growth Opportunities
Challenges:
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Balancing Craft and Speed: Maintaining exceptional visual quality while working within the fast-paced iteration cycles of an AI startup.
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Scalability of Design: Ensuring the design system can effectively support rapid product expansion and new feature development without becoming unwieldy.
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Leveraging AI Effectively: Mastering and integrating AI coding tools into the design workflow to create real, usable outputs, which requires continuous learning and adaptation.
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Defining and Maintaining Visual Identity: Establishing a strong, unique visual language for a novel AI product in a competitive market.
Learning & Development Opportunities:
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AI in Design: Deepen expertise in using AI tools for design generation, prototyping, and system implementation.
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Design System Architecture: Advance skills in building complex, scalable, and maintainable design systems.
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Product Strategy: Gain a deeper understanding of how design directly influences product strategy and business outcomes in the AI space.
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Cross-Functional Acumen: Develop stronger relationships and understanding with engineering and product management teams.
📝 Enhancement Note: For operations professionals, viewing challenges as opportunities for process improvement and skill development is key. This role offers a chance to refine operational workflows within design, particularly with the integration of AI.
💡 Interview Preparation
Strategy Questions:
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"Describe a time you had to significantly elevate the visual quality of an existing product. What was your process, and what was the outcome?" (Focus on audit, improvement strategy, and impact.)
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"How would you approach building a design system from scratch for a new AI product? What are the key considerations for scalability and adoption by engineering?" (Highlight systematic thinking, tokenization, and implementation.)
Company & Culture Questions:
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"What excites you about Luma's mission and the multimodal AI space?" (Show genuine interest and research.)
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"How do you advocate for design quality within a team that might prioritize speed or other technical features?" (Focus on communication, collaboration, and data-informed arguments.)
Portfolio Presentation Strategy:
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Structure: Begin with a high-level overview, then dive into 2-3 key projects. For each project, clearly state the problem, your role, your process, the solutions, and the impact.
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Highlight Systems & AI: Dedicate specific slides or sections to showcase your design system work and any AI-assisted implementations. Explain the technical and operational benefits.
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Focus on Outcomes: Quantify impact whenever possible (e.g., "reduced design implementation time by X%", "improved UI consistency score").
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Engage Your Audience: Be prepared for questions and treat it as a collaborative discussion, not just a presentation.
📝 Enhancement Note: Frame your answers around operational efficiency, process improvement, and measurable impact. When discussing AI tools, emphasize how they enable faster, more consistent, and scalable design outputs, aligning with operational goals.
📌 Application Steps
To apply for this Product Designer position:
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Submit your application through the provided link on jobs.gem.com.
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Portfolio Customization: Tailor your portfolio to highlight your strongest visual design craft, your experience building and managing design systems, and your specific use cases of AI coding tools for tangible design outputs.
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Resume Optimization: Ensure your resume clearly emphasizes your 5+ years of experience in visual and UI design, proficiency with Figma, experience with design systems, and any background using AI tools for product development. Use keywords like "Design Systems," "UI Design," "Visual Design," "AI Coding Tools," and "Figma."
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Interview Preparation: Practice articulating your design process, the rationale behind your design decisions, and the impact of your work. Prepare specific examples of how you've improved product quality and streamlined workflows. Rehearse presenting your portfolio, focusing on the operational aspects of design systems and AI implementation.
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Company Research: Thoroughly research Luma AI's mission, product, and any recent news. Understand their focus on multimodal AI and how design contributes to their vision. Consider how your skills can support their growth and operational efficiency in design.
⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions tailored for operations professionals. All details, particularly regarding salary expectations and specific responsibilities, should be verified directly with the hiring organization during the application and interview process.
Application Requirements
Requires 5+ years of experience in visual and UI design with a strong portfolio demonstrating craft and systems thinking. Candidates must be proficient in using AI coding tools to produce real outputs and have experience shipping production-ready work.