Design Strategy & Problem Framing

• Define and frame high-value customer and business problems using qualitative and quantitative research, analytics, and stakeholder input
• Lead discovery efforts to uncover unmet needs, operational inefficiencies, and opportunity areas within complex systems
• Translate ambiguous problem spaces into clear opportunity areas, design principles, and measurable outcomes

AI-Enabled UX & Productive AI

• Leverage AI tools (e.g., generative AI, research synthesis tools, design copilots)
• Thoughtfully integrate AI into end-to-end design workflows (e.g., research synthesis, prototyping, concept generation) to drive speed, innovation, and decision quality
• Apply human-AI interaction principles to ensure transparency, usability, and trust in AI-powered experiences

Conversational & Interaction Design

• Design and deliver NLQ (Natural Language Query) and chat-based interfaces, including context-aware, multi-turn conversational experiences
• Define interaction models for AI systems that balance automation, user control, and explainability
• Ensure conversational patterns are intuitive, scalable, and aligned to user mental models

Experience & System Design

• Design scalable, cohesive solutions across complex, multi-product ecosystems
• Create annotated prototypes and wireframes that communicate complex software behaviors
• Contribute to and evolve design systems, patterns, and governance frameworks
• Conduct user research and synthesize insights into actionable visualizations

Systemic Design Thinking

• Apply deep understanding of design systems to ensure all components—including conversational interfaces—are scalable, accessible, and consistent across the product ecosystem
• Align interaction patterns with enterprise design standards and governance models
• Connect individual feature design decisions to broader system behavior and long-term platform strategy

Outcome-Driven Product Development

• Partner with Product Management and Engineering to translate abstract problems into clear design roadmaps and deliverables
• Drive outcomes by linking design decisions to measurable business and user impact
• Balance desirability, feasibility, and viability in solution development

Cross-Functional Leadership

• Influence product and engineering strategy through evidence-based recommendations
• Represent the user’s voice across cross-functional teams and decision forums
• Facilitate alignment across UX, Product, and Engineering on priorities, trade-offs, and solution direction

Required Qualifications

• For roles in Mexico Bachelor’s degree
• For roles in Brazil: Experience in Digital Technology and UX Strategy/Design; knowledge level comparable to a bachelor’s degree in design. 
• Experience in Digital Technology and UX Strategy/Design; knowledge level comparable to a Bachelor’s degree in Design 

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Desired Characteristics

• Strategic Mindset: Naturally connects individual feature design to broader system behavior and long-term platform strategy. Moves beyond "pixel-pushing" to link design efforts directly to measurable business outcomes.
• AI & Conversational Fluency: Demonstrated ability to go beyond basic chat implementation; understands the nuances of human-AI trust, conversational state management, and the ethical implications of automated systems.
• Systemic Craftsmanship: A "systems-first" designer who approaches Figma components not just as assets, but as scalable governance tools. Proficient in leveraging automation (Figma Make, etc.) to maintain high-velocity output without sacrificing quality.
• Influential Leadership: A proactive communicator who can translate technical complexity into clear, compelling narratives for non-design stakeholders. Comfortable operating where projects are ambiguous and direction is evolving.
• Cross-Disciplinary Agility: A team player who balances desirability, feasibility, and viability, effectively bridging the gap between product strategy and engineering execution.