IC5 - Staff AI UX Designer

📍 Job Overview

Job Title: IC5 - Staff AI UX Designer

Company: Spin Careers

Location: México, México

Job Type: Full-time

Category: User Experience (UX) Design / AI Product Development

Date Posted: 2026-05-22T20:41:42

Experience Level: 10+ years

Remote Status: On-site

🚀 Role Summary

• Lead the design of AI-first experiences for a multi-business ecosystem, focusing on GenAI, agents, and copilots.

• Define and set the UX standard for AI-driven interactions across financial, retail, loyalty, operations, and support products.

• Translate complex AI capabilities into intuitive, reliable, and human-centered user experiences.

• Drive alignment and collaboration within multidisciplinary squads to bring AI products from concept to production.

• Shape the future of human-machine interaction by developing novel interaction patterns and UX principles for AI systems.

📝 Enhancement Note: This role is positioned as a Staff/IC5 level, indicating a senior leadership opportunity focused on strategic direction and technical expertise in AI UX design, rather than a purely execution-focused role. The emphasis on "AI Products Chapter" suggests a dedicated unit for advancing AI capabilities.

📈 Primary Responsibilities

• Design AI-first user experiences for a diverse range of products, including financial services, retail operations, loyalty programs, and internal business tools.

• Develop and define conversational interfaces, copilots, and multimodal interaction flows, determining optimal use of text, voice, image, and embedded UI elements.

• Architect AI agent experiences that can effectively answer queries, guide decisions, execute transactions, resolve issues, and generate personalized recommendations for end-users.

• Create internal copilots designed to enhance decision-making, reduce operational friction, and accelerate complex tasks for operations, support, product, growth, and business teams.

• Establish and refine interaction patterns based on contextual relevance, ensuring seamless transitions between conversational, embedded UI, and multimodal interaction modes.

• Design robust error handling, information retrieval, and recovery mechanisms for AI agents, addressing scenarios with missing information, ambiguity, or model failures.

• Optimize user experiences by considering and designing for latency, intermediate states, confirmation processes, and user expectation management.

• Define the AI agent's voice and tone, dictating its communication style (formal, informal, proactive, cautious), escalation protocols, and clear articulation of limitations or inability to perform tasks.

• Translate intricate AI functionalities into straightforward, trustworthy, and intuitive user interactions, ensuring clarity and ease of use.

• Actively participate in the entire product development lifecycle, including discovery, prototyping, validation, and iterative refinement of AI-driven experiences.

• Design effective feedback loops (e.g., thumbs up/down, response editing) to capture quality signals and insights that improve AI model performance and user evaluations.

• Foster strong collaboration with Product Managers, AI Engineers, Data Scientists, Researchers, and cross-functional squads to deliver AI products to production.

• Lead the definition and dissemination of UX principles, design patterns, and best practices for Generative AI and agentic systems across the organization.

📝 Enhancement Note: The responsibilities highlight the need for a deep understanding of both user experience design principles and the technical underpinnings of AI. The role requires strategic leadership in establishing design standards for emerging AI technologies within a complex business ecosystem.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating relevant experience and expertise is paramount. A background in Human-Computer Interaction (HCI), Computer Science, Design, or a related field is beneficial.

Experience: Extensive experience (IC5/Staff level equivalent, typically 10+ years) in User Experience (UX) Design, Product Design, Service Design, or Digital Product Design, with a proven track record of leading complex, high-impact product initiatives.

Required Skills:

• Expertise in designing AI-first experiences, including agents, copilots, and conversational interfaces.

• Proficiency in defining multimodal interaction flows and user journeys.

• Strong understanding of user experience principles and interaction design best practices.

• Ability to translate complex technical capabilities into simple, intuitive user experiences.

• Conceptual understanding of AI stacks, including context windows, memory, guardrails, and information retrieval.

• Experience in designing for high-impact contexts, such as financial services or critical operations.

• Demonstrated ability to think systemically and design end-to-end experiences beyond just screens.

• Proven experience in leading and driving alignment within agile, multidisciplinary teams.

Preferred Skills:

• Experience designing for financial products, operations, support, growth, or digital ecosystems.

• Familiarity with generative AI (GenAI) tools and platforms (e.g., ChatGPT, Claude, Gemini, Figma AI, Cursor, v0, Lovable, Uizard).

• Knowledge of human-in-the-loop systems, AI trust, explainability, and responsible AI principles.

• Experience in service design and defining interaction patterns across various modalities.

• Familiarity with AI model limitations and designing for user expectations in AI-driven interactions.

• A constant curiosity for new tools, interaction patterns, and advancements in AI development.

📝 Enhancement Note: The "IC5/Staff level equivalent" implies a need for significant leadership experience and strategic thinking, not just execution. The emphasis on "conceptual understanding of how an AI stack works" suggests a deeper technical acumen than a typical UX designer might possess.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end design processes for complex AI-driven products or features, highlighting problem definition, user research (if applicable), ideation, prototyping, and iteration.

• Include case studies demonstrating the design of conversational interfaces, AI agents, or copilots, detailing interaction flows, error handling, and multimodal elements.

• Present examples of how you translated complex AI capabilities into user-friendly experiences, emphasizing the impact of your design decisions.

• Demonstrate experience in defining UX principles, patterns, or guidelines for AI products or advanced digital systems.

Process Documentation:

• Illustrate your approach to designing for AI, including how you handle ambiguity, error states, and user feedback loops within AI-driven interactions.

• Document your methods for defining and refining the voice and tone of AI agents or copilots, ensuring alignment with brand and user needs.

• Provide examples of how you considered system latency, waiting times, and intermediate states in your design process for AI applications.

• Show how you approached user validation and iteration for AI-powered features, especially where definitive answers may not exist.

📝 Enhancement Note: For a Staff-level AI UX Designer, the portfolio should emphasize strategic thinking, leadership in complex projects, and a deep understanding of AI's unique design challenges, not just standard UI/UX deliverables. The ability to articulate the "why" behind design decisions, especially in uncharted AI territory, is crucial.

💵 Compensation & Benefits

Salary Range: Based on the Staff/IC5 level designation and the location in México City, Mexico, a competitive salary range for a highly experienced AI UX Designer would typically fall between MXN $1,200,000 to MXN $2,000,000 annually, potentially higher for exceptional candidates with specialized AI design experience. This estimation considers the senior nature of the role, the specialized skill set in AI and GenAI, and the cost of living and market rates in a major metropolitan area like Mexico City.

Benefits:

• Comprehensive health insurance coverage (medical, dental, vision).

• Paid time off, including vacation days, personal days, and national holidays.

• Opportunities for professional development, including access to training, conferences, and workshops focused on AI and UX.

• Potential for performance-based bonuses or stock options, reflecting the company's growth and innovation.

• Retirement savings plan or equivalent.

• Flexible work environment and culture that encourages experimentation and learning.

• Access to cutting-edge AI tools and technologies for design and research.

Working Hours: Standard full-time working hours, approximately 40 hours per week, with flexibility often provided to accommodate project needs and individual work styles within an on-site environment.

📝 Enhancement Note: Salary estimation is based on general market data for senior tech roles in Mexico City and the specialized nature of AI UX design. Actual compensation will vary based on Spin Careers' internal compensation structure, the candidate's specific experience, and negotiation.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically focused on building AI-first capabilities at scale within a multi-business ecosystem. This implies a dynamic environment at the intersection of AI innovation and practical business applications across various sectors like financial services and retail.

Company Size: While not explicitly stated, the mention of "AI Products Chapter" and "tribes and squads" suggests a growing, organized structure, likely medium to large, with dedicated teams for specialized areas like AI product development.

Founded: The company's founding date is not provided, but its focus on cutting-edge AI and a multi-business ecosystem suggests a modern, forward-thinking organization.

Team Structure:

• The role sits within an "AI Products Chapter," indicating a centralized or semi-centralized team dedicated to developing AI-driven experiences.

• This chapter collaborates closely with "tribes and squads" from different business units, implying a matrixed or agile organizational structure.

Methodology:

• Emphasis on agile and collaborative development methodologies.

• Focus on product discovery, prototyping, validation, and iterative improvement for AI products.

• Commitment to defining and adhering to UX principles and best practices for AI and agentic systems.

• Data-driven decision-making and a focus on user feedback to enhance AI model performance and user experience.

Company Website: spin.com

📝 Enhancement Note: The organizational structure described (Chapters, Tribes, Squads) is common in modern tech companies, particularly those adopting agile frameworks like Spotify's model. This structure fosters autonomy within squads while enabling cross-functional collaboration and knowledge sharing at a chapter level.

📈 Career & Growth Analysis

Operations Career Level: This role is at the IC5/Staff level, signifying a senior individual contributor position with significant influence and responsibility. It's a leadership role focused on technical and strategic direction within AI UX design, setting standards and mentoring others.

Reporting Structure: The AI UX Designer will likely report to a Head of Design, Director of Product, or a similar senior leadership role within the AI Products Chapter or a broader product/design organization. They will collaborate closely with Product Managers and AI Engineering leads within their respective squads.

Operations Impact: The Staff AI UX Designer will have a profound impact on the company's ability to deliver cutting-edge AI products that enhance both client and internal team experiences. Their work will directly influence user adoption, operational efficiency, and the overall digital strategy of the organization, potentially setting new interaction standards across the entire company.

Growth Opportunities:

• Technical Leadership: Opportunity to become a recognized expert and thought leader in AI UX design within the company and potentially the broader industry.

• Strategic Influence: Shape the future product roadmap and AI strategy by championing user-centered AI design.

• Mentorship: Guide and mentor junior designers and cross-functional team members on AI UX best practices.

• Specialization: Deepen expertise in specific areas of AI interaction design, such as conversational AI, agentic systems, or responsible AI.

• Cross-functional Exposure: Gain broad experience across various business domains (financial, retail, operations) by working with diverse tribes and squads.

📝 Enhancement Note: The Staff IC level suggests a career path focused on deep technical expertise, strategic impact, and leadership within a specialized domain, rather than a traditional management track. Growth opportunities will likely revolve around increasing scope, influence, and technical mastery.

🌐 Work Environment

Office Type: This is an on-site role, implying a physical office location where collaboration and in-person interaction are expected. The company likely provides a modern workspace designed to foster collaboration and innovation.

Office Location(s): México, México (specifically Ciudad de México). This location offers access to a vibrant tech talent pool and a major business hub.

Workspace Context:

• Collaborative environment with ample opportunities for in-person brainstorming, workshops, and knowledge sharing with multidisciplinary teams.

• Access to [likely] modern design tools and relevant AI technologies necessary for prototyping and user testing.

• A culture that encourages frequent interaction with Product Managers, AI Engineers, Data Scientists, and researchers to ensure cohesive product development.

Work Schedule: Standard full-time schedule (approx. 40 hours/week), typical for an on-site role. While structured, the nature of product development might require some flexibility to meet project deadlines, balanced by the company's overall work-life balance philosophy.

📝 Enhancement Note: The "On-site" designation is important. For a senior role, it suggests the company values in-person collaboration, mentorship, and the spontaneous interactions that can drive innovation, especially in a fast-evolving field like AI UX design.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will likely conduct an initial call to assess general fit, experience, and interest in AI.

• Portfolio Review & Design Challenge: A dedicated session to present your portfolio, focusing on AI UX design case studies. This may be followed by a design challenge, potentially involving AI-specific problem-solving or interaction design for an AI agent.

• Cross-Functional Interviews: Interviews with peers and stakeholders, including Product Managers, AI Engineers, and potentially other designers, to assess collaboration style, technical understanding, and problem-solving skills.

• Staff/Leadership Interview: A final interview with senior leadership (e.g., Head of Design, VP of Product) to evaluate strategic thinking, leadership potential, and alignment with the company's vision for AI UX.

Portfolio Review Tips:

• Highlight AI Focus: Clearly showcase projects where you designed AI-driven experiences, conversational interfaces, or agentic systems. Emphasize your understanding of AI's unique challenges and opportunities.

• Demonstrate Strategic Thinking: For each case study, articulate the business problem, your design strategy, the rationale behind your decisions, and the measurable impact (or anticipated impact) of your work.

• Showcase Process: Detail your design process, including how you handled ambiguity, error states, and feedback loops in AI contexts. Explain how you collaborated with technical teams.

• Visual Storytelling: Use clear visuals (wireframes, prototypes, flow diagrams) to tell the story of your design process and outcomes. Be prepared to discuss your tools and methodologies.

• Prepare for AI Specifics: Be ready to discuss your conceptual understanding of AI stacks, responsible AI principles, and how you approach designing for human-machine trust and reliability.

Challenge Preparation:

• AI Interaction Design: Practice designing conversational flows or agent interactions for hypothetical scenarios. Focus on clarity, error handling, and user guidance.

• Problem Decomposition: Be prepared to break down complex AI-related problems into manageable design challenges.

• Ethical Considerations: Think about how you would address ethical considerations, bias, and explainability in AI design.

• Communication: Practice articulating your design rationale clearly and concisely, especially when discussing trade-offs and technical constraints.

📝 Enhancement Note: Given the Staff/IC5 level, expect interviews to heavily probe strategic thinking, leadership in ambiguous situations, and the ability to influence product direction. Portfolio presentations should be high-level, focusing on impact and strategic decision-making.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (likely with AI plugins like Figma AI), Sketch, Adobe Creative Suite.

• AI Design Tools (Preferred): Familiarity with tools like ChatGPT, Claude, Gemini for ideation and content generation; Cursor, v0, Lovable, Uizard for AI-assisted design and prototyping.

• Collaboration & Project Management: Jira, Confluence, Asana, Slack.

Analytics & Reporting:

• Experience using analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude) to understand user behavior and inform design decisions, though direct usage might be handled by product analysts.

CRM & Automation:

• While not a direct CRM/Automation role, understanding how AI interactions integrate with CRM systems or automate business processes will be beneficial.

• Familiarity with how user data is managed and utilized within AI systems.

📝 Enhancement Note: The specific mention of AI design tools like Cursor, v0, Lovable, and Uizard indicates the company's commitment to leveraging AI in the design process itself, suggesting candidates who are early adopters and practitioners of AI-assisted design will be highly valued.

👥 Team Culture & Values

Operations Values:

• Innovation & Experimentation: A strong drive to explore new frontiers in AI and human-machine interaction, with a willingness to experiment and learn from failures.

• User-Centricity: A deep commitment to understanding and serving user needs, even within the complex domain of AI.

• Collaboration: Valuing teamwork and open communication across disciplines to achieve shared goals.

• Excellence & Impact: Striving for high-quality design that delivers tangible business and user value.

• Responsibility & Trust: A focus on building reliable, secure, and ethically sound AI experiences, particularly in sensitive domains.

Collaboration Style:

• Cross-functional Integration: Seamless collaboration with Product Managers, AI Engineers, Data Scientists, and Researchers is essential, working in agile squads and chapters.

• Open Communication: Encouraging direct and honest feedback, and fostering an environment where ideas are shared freely.

• Shared Ownership: A collective responsibility for product success, with designers contributing to strategy and technical feasibility discussions.

• Continuous Learning: A culture that supports ongoing learning and adaptation to the rapidly evolving AI landscape.

📝 Enhancement Note: The emphasis on "AI Products Chapter," "tribes and squads," and the need for collaboration with technical teams underscores a culture that blends specialized expertise with broad cross-functional integration, common in companies pushing the boundaries of technology.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: Navigating the inherent uncertainties in AI development and designing user experiences that are resilient and adaptable.

• Establishing New Standards: Defining and implementing novel UX patterns for AI interactions that can become organizational benchmarks.

• Balancing Innovation and Reliability: Creating cutting-edge AI experiences while ensuring they are trustworthy, secure, and performant, especially in financial contexts.

• Rapidly Evolving Landscape: Staying abreast of fast-paced advancements in AI technology and their implications for user experience design.

• Translating Technical Complexity: Effectively bridging the gap between sophisticated AI capabilities and intuitive user interfaces.

Learning & Development Opportunities:

• AI Frontier Exploration: Direct involvement in shaping the future of AI interaction design and contributing to industry best practices.

• Skill Deepening: Opportunities to specialize in areas like advanced conversational design, agentic system architecture, or responsible AI implementation.

• Cross-Domain Expertise: Gaining deep understanding of various business verticals (finance, retail, operations) through product development.

• Leadership Development: Mentoring junior designers and influencing organizational design strategy at a senior level.

• Access to Cutting-Edge Technology: Working with and shaping the use of the latest AI tools and platforms.

📝 Enhancement Note: The challenges are framed as opportunities for growth, emphasizing the role's potential to push boundaries and develop expertise in a cutting-edge field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led the design of a complex, AI-driven product or feature. What was your strategic approach, and what was the outcome?" (Focus on leadership, strategic thinking, and impact.)

• "How would you approach designing a conversational AI agent for [specific business scenario, e.g., customer support for financial products]? What are the key interaction considerations, error handling strategies, and potential ethical implications?" (Assesses AI design thinking, problem-solving, and ethical awareness.)

Company & Culture Questions:

• "What excites you about Spin's mission and its approach to AI-first products?" (Gauge alignment with company vision and passion for AI.)

• "How do you envision the role of a Staff AI UX Designer in shaping an organization's AI strategy and design principles?" (Evaluates leadership perspective and strategic influence.)

Portfolio Presentation Strategy:

• Narrative Arc: Structure your portfolio presentation around compelling stories of problem-solving and impact. For each project, clearly articulate the challenge, your role, your process, the solutions you designed, and the results achieved.

• AI Emphasis: Dedicate significant time to showcasing your AI UX design work. Detail the specific AI challenges you addressed and how your design solutions tackled them.

• Strategic Rationale: Be prepared to deeply explain the "why" behind your design decisions, referencing user needs, business goals, and technical constraints.

• Leadership Examples: Highlight instances where you led initiatives, influenced stakeholders, or mentored others.

• Interactive Elements: If possible, include interactive prototypes or live demos of your work, especially for AI-driven features.

Challenge Preparation:

• AI Interaction Design Exercise: Practice sketching out conversational flows for various scenarios, considering user goals, AI capabilities, and potential failure points. Focus on clarity and user guidance.

• Systemic Thinking: Be ready to discuss how a proposed AI feature might integrate into a larger ecosystem and its potential impact on different user groups and business processes.

• Ethical Design Discussion: Prepare to discuss your approach to designing AI responsibly, considering bias, transparency, and user trust.

📝 Enhancement Note: For a Staff/IC5 role, interview questions will probe deeper into strategic thinking, leadership, and the ability to influence technical and product direction. Prepare to discuss your vision for AI UX and how you drive impact at an organizational level.

📌 Application Steps

To apply for this operations position:

• Submit your application through the application link provided on the Spin Careers Greenhouse portal.

• Curate Your Portfolio: Select 2-3 of your most impactful projects that best showcase your experience in AI UX design, particularly conversational AI, agentic systems, or multimodal interactions. Ensure each case study clearly outlines the problem, your role, your process, your design solutions, and measurable outcomes.

• Tailor Your Resume: Highlight keywords such as "AI UX Design," "Generative AI," "Copilots," "Conversational Interfaces," "Staff Level," "Product Design," "Systemic Thinking," and any relevant industry experience (e.g., financial services, operations). Quantify achievements where possible.

• Prepare Your Narrative: Practice articulating your design philosophy and how you approach the unique challenges of designing for AI. Be ready to walk through your portfolio projects with confidence and clarity, emphasizing your strategic contributions and leadership.

• Research Spin: Understand Spin's business model, its multi-business ecosystem, and its stated commitment to AI-first capabilities. Consider how your skills and experience can directly contribute to their goals and the "AI Products Chapter."

⚠️ 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.

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