AI First Product Designer

📍 Job Overview

Job Title: Lead Design Ops

Company: PALO IT

Location: Ciudad de México, CDMX, Mexico

Job Type: Full-time

Category: Design Operations & Systems

Date Posted: 2026-06-22

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: On-site

🚀 Role Summary

• Drive the definition, scaling, and governance of the Design Operations practice within an innovative AI-first product development environment.

• Establish and manage robust design systems, including design tokens and component libraries, to ensure consistency across web, mobile, and desktop platforms.

• Optimize end-to-end design and development workflows, fostering seamless collaboration between design, product, and engineering teams.

• Integrate cutting-edge AI tools and generative AI methodologies to automate processes and significantly enhance design productivity and quality.

• Champion accessibility standards (WCAG) and maintain high-quality design benchmarks across all projects.

📝 Enhancement Note: This role is specifically focused on Design Operations within an "AI-First" product development lifecycle, emphasizing the integration of AI tools like GitHub Copilot and Figma AI into core design processes. The "Lead" title suggests significant autonomy and strategic responsibility for establishing and scaling Design Ops practices.

📈 Primary Responsibilities

• Define and implement a comprehensive Design Ops model, including clear governance structures, operational standards, and ownership frameworks.

• Establish and scale design systems operations, ensuring consistency and efficiency across web, mobile, and desktop applications.

• Build and maintain design tokens, component libraries, and system architecture to support cross-platform design consistency and scalability.

• Design and optimize end-to-end workflows for seamless collaboration between design, product management, and engineering teams.

• Create and maintain living documentation systems that facilitate scalability, knowledge sharing, and onboarding for design and development teams.

• Define and manage the tooling architecture, integrating key platforms such as Figma, Storybook, and emerging AI-powered design tools.

• Leverage AI tools (e.g., Figma AI, GitHub Copilot, Cursor) to automate design processes, accelerate generation, and enhance overall design productivity.

• Implement Design CI/CD (Continuous Integration/Continuous Deployment) pipelines to enable seamless integration and version control between design assets and development code.

• Define, track, and report on Objectives and Key Results (OKRs) and Key Performance Indicators (KPIs) to measure design system adoption, process efficiency, and overall design quality.

• Ensure consistent adherence to accessibility standards (WCAG) and maintain high design quality benchmarks across all projects.

• Act as a strategic partner to Product, Engineering, and Leadership teams, providing insights and driving design operational excellence.

• Drive alignment and influence stakeholders without direct authority across distributed and multidisciplinary teams.

📝 Enhancement Note: The responsibilities highlight a strong emphasis on system thinking, process optimization, and leveraging technology (especially AI) to drive efficiency and quality in design delivery. The "Lead" aspect is evident in the focus on defining, implementing, and scaling these practices.

🎓 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 preferred for strategic roles in Design Operations. Equivalent practical experience will be highly valued.

Experience: A minimum of 5-10 years of progressive experience in Design Operations, Design Systems, UX Operations, or a closely related field.

Required Skills:

• Proven experience in Design Ops, Design Systems, or UX Operations roles, with a track record of establishing and scaling these practices.

• Strong hands-on experience building and scaling design systems and design tokens across multiple platforms (web, mobile, desktop).

• Proficiency with Figma, including its advanced features and plugin ecosystem.

• Experience with component library tools like Storybook.

• Understanding of design-to-code workflows and the ability to bridge the gap between design and development.

• Familiarity with CI/CD principles and practices as applied to design systems.

• Experience integrating AI tools into design workflows, specifically mentioning Figma AI, GitHub Copilot, and Cursor.

• Knowledge of accessibility standards (WCAG) and a commitment to inclusive design practices.

• Strong understanding of cross-functional collaboration dynamics between Design, Product, and Engineering teams.

• Excellent system thinking and strategic mindset capabilities.

• Demonstrated ability to influence without direct authority.

• Expertise in documentation and knowledge scaling practices.

• Comfort and effectiveness in making decisions within ambiguous environments.

• Strong communication, presentation, and stakeholder management skills. Preferred Skills:

• Experience with prompt engineering best practices for generative AI tools.

• Familiarity with design tokens management tools and methodologies.

• Experience with design CI/CD pipelines and version control for design assets.

• Understanding of product analytics and UX research methodologies to inform design system improvements.

• Experience in a consulting environment or with diverse client projects.

• Background in AI-Native Engineering practices and their implications for design workflows.

📝 Enhancement Note: The requirements strongly emphasize practical, hands-on experience with specific tools and methodologies relevant to modern design operations and AI integration. The "AI-Native Engineering" section under "Who You Are" in the original description is integrated here as a key expectation, highlighting the candidate's ability to leverage AI in their work.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 detailed case studies demonstrating the establishment or significant scaling of Design Systems or Design Ops practices.

• Include examples of design system architecture, component libraries, and design token implementation across different platforms.

• Highlight workflows designed and optimized for cross-functional collaboration between design, product, and engineering.

• Provide evidence of implementing or improving design tooling ecosystems, including integrations with AI tools.

• Demonstrate experience in creating and maintaining living documentation systems for design assets and processes. Process Documentation:

• Case studies should clearly outline the "before" and "after" states of processes, emphasizing improvements in efficiency, consistency, and quality.

• Detail the methodologies used for establishing governance, standards, and ownership frameworks for design operations.

• Illustrate the process for defining and tracking OKRs and KPIs related to design system adoption and impact.

• Showcase examples of how accessibility standards (WCAG) were integrated into design processes and systems.

• Document the approach to integrating AI tools into design workflows and the resulting impact on productivity.

📝 Enhancement Note: A strong portfolio is crucial for this role, as it will be the primary method for assessing a candidate's ability to build, scale, and govern Design Ops and Design Systems. The emphasis on AI integration and process optimization within the portfolio will be key differentiators.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for a Lead Design Ops role in Mexico City, with 5-10 years of experience, and considering the specialized AI integration requirements, the estimated annual salary range is MXN $750,000 - $1,100,000. This range accounts for the strategic nature of the role, the demand for AI-related design skills, and the cost of living in Mexico City.

Benefits:

• Stimulating working environments that foster innovation and collaboration.

• Unique career path with opportunities for professional development and advancement.

• International mobility options for global project involvement.

• Opportunities to work on internal R&D projects, particularly in AI and sustainable tech.

• Robust knowledge-sharing platforms and practices.

• Personalized training programs to enhance skills and expertise.

• Encouragement of entrepreneurship and intrapreneurship within the company.

• B Corp certification benefits, reflecting a commitment to social and environmental responsibility.

• Access to World Economic Forum network opportunities.

Working Hours: Typically 40 hours per week, with potential for flexibility depending on project needs and team collaboration schedules. The role requires strategic oversight and proactive engagement.

📝 Enhancement Note: Salary estimates are based on research for similar Lead Design Operations roles in major tech hubs in Mexico, adjusted for the specific requirements of an AI-first consultancy. Benefits are directly pulled from the "What We Offer" section of the job description, highlighting PALO IT's commitment to employee growth and well-being.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology Consultancy, specializing in AI, sustainable products, and digital transformation. PALO IT operates globally, with a strong focus on using technology as a force for good. They are recognized as a World Economic Forum New Champion and are B Corp-certified, indicating a commitment to high standards of social and environmental performance, accountability, and transparency.

Company Size: Over 650 experts across 18 offices on 5 continents, indicating a large, global, and well-established consultancy with a significant talent pool. This size allows for broad impact and diverse project opportunities while maintaining specialized expertise.

Founded: Founded with a vision to "Build. Scale. Sustain.", PALO IT has a history of innovation and a forward-thinking approach, particularly evident in their "AI First" Gen-e2 methodology.

Team Structure:

• The Design Ops role will likely be part of a multidisciplinary team, working closely with Product Designers, UX Researchers, Product Managers, and Software Engineers.

• Reporting structure is not explicitly defined but is expected to be within a product development or design leadership track, with potential for reporting to a Head of Design, Head of Engineering, or CTO.

• Cross-functional collaboration is a cornerstone, with a strong emphasis on integrating design into the entire SDLC, especially within the AI-first Gen-e2 framework. Methodology:

• AI-First Product Development (Gen-e2): A core methodology that reinvents the Software Development Lifecycle (SDLC) by heavily leveraging AI generative tools (like GitHub Copilot) for code, documentation, and design generation, aiming for significant gains in productivity and quality.

• Data Analysis and Insights: Expected to define and track OKRs and KPIs using data to measure the impact of Design Ops and Design Systems.

• Workflow Planning and Optimization: Central to the role, focusing on creating seamless, efficient processes between design, product, and engineering.

• Automation and Efficiency: A key driver, with specific emphasis on using AI tools to automate repetitive tasks and enhance design workflows.

Company Website: https://www.palo-it.com/

📝 Enhancement Note: PALO IT's unique positioning as a global, B Corp-certified consultancy with a focus on "tech as a force for good" and an "AI-First" development methodology creates a distinct culture. This role is ideal for operations professionals who are passionate about sustainability, ethical technology, and driving innovation through advanced AI integration.

📈 Career & Growth Analysis

Operations Career Level: This is a Lead Design Operations role, indicating a senior position responsible for strategic direction, implementation, and scaling of Design Ops practices. It requires significant autonomy and the ability to influence across teams. This is a critical role in shaping how design operates within PALO IT's innovative AI-first environment.

Reporting Structure: While not explicitly stated, a Lead role typically reports to a Director or VP level, such as a Head of Design, Head of Engineering, or Chief Product Officer. The role will involve extensive collaboration with various department heads and team leads.

Operations Impact: The Design Ops Lead will have a direct impact on the efficiency, quality, and scalability of design delivery across PALO IT's global projects. By streamlining workflows, standardizing systems, and leveraging AI, this role will significantly contribute to faster product delivery times (2-3x faster as mentioned in the Gen-e2 description) and elevated engineering excellence, ultimately impacting client satisfaction and project success.

Growth Opportunities:

• Specialization in AI-Driven Design: Deepen expertise in applying generative AI and AI-native engineering principles to design operations and systems, becoming a leader in this emerging field.

• Leadership and Strategic Development: Progress into broader operational leadership roles within PALO IT, potentially overseeing multiple operational disciplines or leading strategic initiatives for the company's Gen-e2 methodology.

• Global Impact: Contribute to high-profile, international projects that align with PALO IT's mission of creating tech as a force for good, offering opportunities to influence design practices on a global scale.

• Mentorship and Team Building: Opportunity to mentor junior designers and operations specialists, and potentially build out a Design Ops function from the ground up as the practice matures.

📝 Enhancement Note: The "Lead" designation suggests a significant career step, offering opportunities to shape a function and influence company-wide processes. The AI-first aspect presents a unique growth path in a rapidly evolving technological landscape.

🌐 Work Environment

Office Type: The role is advertised as "On-site," indicating a traditional office-based work environment. This suggests a focus on in-person collaboration, team cohesion, and leveraging the company's physical workspace for innovation and knowledge sharing.

Office Location(s): The primary location is Ciudad de México, CDMX, Mexico. PALO IT has a global presence with offices on 5 continents, so while this role is based in Mexico City, there might be opportunities for international collaboration or even mobility based on project needs.

Workspace Context:

• Collaborative Environment: PALO IT emphasizes a stimulating and collaborative working environment. The office space is likely designed to foster interaction among multidisciplinary teams, essential for the cross-functional nature of this role.

• AI Tools and Technology: The workspace will be equipped with modern design and development tools, including Figma, Storybook, and access to AI-powered assistants like GitHub Copilot and Cursor. Expect a tech-forward setup supporting AI-native engineering practices.

• Operations Team Interaction: Opportunities to engage with a diverse group of experts from over 50 nationalities, fostering a rich exchange of ideas and global perspectives. The on-site nature facilitates spontaneous discussions and problem-solving sessions.

Work Schedule: Standard working hours are implied for an on-site role, likely aligning with local business hours in Mexico City. However, given the global nature of PALO IT and the dynamic consulting industry, some flexibility may be expected to accommodate project deadlines and international team coordination.

📝 Enhancement Note: The "On-site" requirement for this role in Mexico City suggests a preference for fostering team culture and direct collaboration within the local office, while still leveraging the global reach of PALO IT.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your application, resume, and portfolio to assess foundational qualifications and alignment with the role's core requirements.

• Technical Interview: Likely to involve deep dives into your experience with Design Ops, Design Systems, specific tools (Figma, Storybook), and your understanding of AI integration in design workflows. Expect questions on WCAG, CI/CD for design, and design-to-code principles. Your portfolio will be a key discussion point.

• Case Study Presentation: You may be asked to present one or two portfolio case studies, detailing your approach to solving specific Design Ops challenges, demonstrating your strategic thinking, process optimization skills, and impact. Focus on metrics and AI integration.

• Cross-Functional Collaboration Discussion: Interviews with representatives from Product and Engineering teams to assess your ability to collaborate, influence, and drive alignment across disciplines.

• Cultural Fit & Leadership Interview: An assessment of your alignment with PALO IT's values (e.g., positive, courageous, caring, doers, committed to excellence) and your leadership potential, particularly your ability to influence without authority.

Portfolio Review Tips:

• Structure for Impact: Organize your portfolio with clear case studies that highlight problems, your solutions (emphasizing Design Ops principles and AI integration), and measurable results (KPIs, efficiency gains, quality improvements).

• Demonstrate AI Integration: Explicitly showcase how you've leveraged AI tools (Copilot, Figma AI, Cursor) in your design processes. Detail the prompts used, the outcomes, and how you validated the AI-generated output.

• Process Optimization Focus: For each case study, clearly articulate the original process, the challenges, your implemented improvements, and the resulting efficiencies or quality enhancements.

• Quantify Success: Use metrics (e.g., reduction in design cycle time, increase in component reusability, adoption rates of design system elements, accessibility compliance scores) to demonstrate the tangible impact of your work.

• Accessibility and Inclusivity: Dedicate a section or highlight within case studies how you've ensured accessibility standards (WCAG) are met and how inclusive design practices were incorporated.

Challenge Preparation:

• Scenario-Based Problems: Be prepared for hypothetical scenarios related to scaling a design system, resolving design-to-code discrepancies, or integrating new AI tools into an existing workflow.

• Strategic Thinking: Practice articulating your strategic vision for Design Operations within an AI-first consultancy. How would you prioritize initiatives? How would you measure success?

• Influence & Communication: Prepare examples of how you've successfully influenced stakeholders without direct authority, particularly when advocating for new processes or technologies.

📝 Enhancement Note: The interview process is expected to be rigorous, focusing heavily on practical application, strategic thinking, and demonstrable impact, especially concerning AI integration and Design Ops leadership.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core design tool, requiring advanced proficiency for creating and managing design systems, components, and prototypes. Familiarity with Figma AI capabilities is a significant plus.

• Storybook: Essential for building, documenting, and testing UI components in isolation, crucial for design system operations.

• AI-Powered Design Tools:

  • GitHub Copilot: For AI-assisted code scaffolding, refactoring, generation, and documentation, especially within the "AI-Native Engineering" context.
  • Cursor: An AI-first code editor that integrates AI deeply into the development workflow, likely used by engineering partners and potentially for design-to-code bridging.
  • Figma AI: Expected to be leveraged for various design tasks, from content generation to pattern recognition and workflow automation.

• Design Token Management Tools: Proficiency with tools or methodologies for managing design tokens (e.g., Specify, Supernova, or custom solutions) to ensure cross-platform consistency.

Analytics & Reporting:

• OKRs & KPIs Tracking Tools: Experience with platforms or methods for defining, tracking, and reporting on key performance indicators and objectives relevant to design operations and system adoption.

• Product Analytics Platforms: Familiarity with tools that provide insights into user behavior and product performance, which can inform design system evolution.

CRM & Automation:

• Project Management Tools: Experience with tools like Jira, Asana, or Trello for workflow management and tracking design tasks.

• Documentation Platforms: Proficiency with tools like Confluence, Notion, or similar for creating and maintaining living documentation systems.

• CI/CD Tools: Understanding of how design assets integrate into CI/CD pipelines, potentially involving tools like Jenkins, GitLab CI, or GitHub Actions in collaboration with engineering.

📝 Enhancement Note: The technology stack is heavily skewed towards modern design and development tools, with a strong emphasis on AI integration. Candidates must demonstrate hands-on experience with these specific tools and a willingness to adapt to future AI advancements.

👥 Team Culture & Values

Operations Values:

• Excellence & Doers: A commitment to high-quality output and a proactive "get-it-done" attitude, characteristic of a fast-paced consultancy.

• Caring & Positive: A supportive and encouraging work environment that values well-being and fosters positive relationships.

• Courageous: Willingness to take calculated risks, challenge the status quo, and innovate, especially in adopting new technologies like AI.

• Committed: Dedication to client success, project delivery, and the company's mission of "tech as a force for good."

• Data-Driven: An emphasis on using data (OKRs, KPIs) to measure impact, inform decisions, and continuously improve processes and systems.

Collaboration Style:

• Cross-Functional Integration: A highly collaborative approach is expected, with Design Ops acting as a central hub connecting Design, Product, and Engineering. Regular communication and shared ownership are key.

• Process Review Culture: An open culture for reviewing and iterating on processes to drive continuous improvement and efficiency. Feedback is likely welcomed and acted upon.

• Knowledge Sharing: A strong emphasis on sharing expertise, best practices, and learnings across the global team, facilitated by robust documentation and internal R&D initiatives.

📝 Enhancement Note: PALO IT's culture appears to be a blend of high-performance consultancy standards with a strong ethical and human-centric approach. The emphasis on being "doers" and "caring" suggests a dynamic yet supportive workplace.

⚡ Challenges & Growth Opportunities

Challenges:

• Scaling Design Ops in an AI-First Environment: Establishing and evolving Design Ops practices that are deeply integrated with generative AI tools and methodologies, requiring continuous learning and adaptation.

• Bridging Design-to-Code and AI Integration: Ensuring seamless and high-quality translation between AI-generated design assets and AI-generated code, managing potential discrepancies and ensuring consistency.

• Influencing Without Authority: Driving adoption of new processes, standards, and tools across multidisciplinary teams and various global projects without direct reporting lines.

• Maintaining Standards with Rapid AI Advancements: Keeping pace with the rapid evolution of AI technologies and their impact on design workflows, while ensuring robust governance, quality, and accessibility.

Learning & Development Opportunities:

• AI Specialization: Become a leading expert in applying AI and generative models to design operations and systems, a highly sought-after skill set.

• Global Project Exposure: Work on diverse, international projects that tackle complex challenges, offering exposure to different industries and problem domains.

• Leadership Development: Opportunities to grow into broader leadership roles, shape operational strategies, and potentially build and manage a Design Ops team.

• Industry Engagement: Participate in conferences, workshops, and R&D projects that keep PALO IT at the forefront of technology and design innovation.

📝 Enhancement Note: This role presents unique challenges and opportunities due to PALO IT's pioneering "AI-First" approach. Candidates who thrive in ambiguity and are eager to shape the future of design operations will find this role particularly rewarding.

💡 Interview Preparation

Strategy Questions:

• "Describe your approach to defining and scaling a Design Operations model within a rapidly evolving, AI-first environment. What are the key pillars you would focus on?" (Focus on governance, standards, workflows, AI integration).

• "How would you establish and govern a design system across multiple platforms (web, mobile, desktop) while integrating AI-generated components and ensuring consistency?" (Highlight your process for token management, component libraries, and AI output validation).

• "Imagine a scenario where AI-generated code for a design component doesn't perfectly match the design spec. How would you diagnose and resolve this issue, and what process improvements would you implement to prevent recurrence?" (Demonstrate your understanding of design-to-code, CI/CD for design, and AI output validation). Company & Culture Questions:

• "PALO IT is a B Corp and a World Economic Forum New Champion with an 'AI-First' methodology. How do you see your role contributing to our mission of 'tech as a force for good'?" (Connect your expertise in Design Ops and AI with ethical technology and sustainability).

• "This role requires influencing without direct authority. Can you share an example of a time you successfully advocated for a new process or tool across different teams?" (Prepare a STAR method answer highlighting collaboration, communication, and strategic persuasion).

• "How do you ensure design quality and accessibility (WCAG) are maintained when leveraging AI tools for content and component generation?" (Showcase your understanding of quality assurance, guardrails, and validation processes for AI outputs). Portfolio Presentation Strategy:

• Narrative Arc: For each case study, tell a clear story: problem > your solution (design ops/AI approach) > implementation > results (metrics, impact).

• Quantify Everything: Use numbers to demonstrate impact. Show improvements in efficiency, speed, consistency, adoption, and quality. For AI, highlight time saved or percentage of output generated.

• Show, Don't Just Tell: Use visuals – screenshots, diagrams, flowcharts, examples of design systems, and even short demos if possible. For AI, show examples of prompts and generated outputs, alongside your validation process.

• Highlight AI Integration: Dedicate specific slides or sections to showcase how AI tools were used, the specific prompts, the tools involved (Copilot, Cursor, Figma AI), and the tangible benefits achieved.

• Focus on Process: Explain how you achieved results by detailing the operational processes you implemented or optimized.

📝 Enhancement Note: The interview preparation emphasizes demonstrating not only technical proficiency but also strategic thinking, leadership potential, and a deep understanding of PALO IT's unique AI-first, ethical technology mission.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on the PALO IT Greenhouse job board.

• Tailor your Resume: Ensure your resume clearly highlights your experience in Design Operations, Design Systems, and any work with AI-driven design tools and methodologies. Use keywords from the job description such as "Design Ops," "Design Systems," "Figma," "Storybook," "AI," "WCAG," "CI/CD," and "Prompt Engineering." Quantify your achievements with specific metrics whenever possible.

• Curate Your Portfolio: Select 2-3 of your strongest case studies that best demonstrate your experience in building, scaling, and governing Design Ops and Design Systems, with a particular emphasis on AI integration. Ensure each case study clearly outlines the problem, your solution, the processes you implemented, and the measurable impact.

• Prepare Your Presentation: Practice walking through your portfolio case studies, focusing on storytelling, quantifiable results, and clearly articulating your role and contributions, especially regarding AI tools and process optimization. Be ready to discuss your strategic approach to Design Ops challenges.

• Research PALO IT: Familiarize yourself with PALO IT's mission, values, B Corp certification, and their "AI-First" Gen-e2 methodology. Understand their commitment to "tech as a force for good" and how your role contributes to these broader goals.

⚠️ 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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