Who We Are
Build. Scale. Sustain.

PALO IT is a general technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)

We are robust and resilient (100% independent and 0 debt)

We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence

We are positive, courageous, caring, doers and committed to excellence

About Gen-e2
While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Our approach is a game-changer in productivity and quality, with a strong collaboration between AI generative and our best talents:

We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design — with GitHub Copilot

The quality consistently exceeds the output of our best traditional engineering teams

A product repository houses all product artefacts, giving AI full project context for higher-quality generation

A library of rules and prompts defines coding standards, design principles, and security guidelines

With Gen-e2, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

Your Role
As a Lead Design Ops , you will define, scale, and govern the Design Operations practice across multidisciplinary teams, enabling consistency, efficiency, and high-quality design delivery in a modern AI-first environment.





Define and implement the Design Ops model , including governance, standards, and ownership frameworks

Establish and scale design systems operations across web, mobile, and desktop platforms

Build and maintain design tokens, component libraries, and system architecture for cross-platform consistency

Design and optimize end-to-end workflows , ensuring seamless collaboration between design, product, and engineering

Create and maintain living documentation systems to support scalability and knowledge sharing

Define and manage tooling architecture , integrating platforms such as Figma, Storybook, and AI-powered tools

Leverage AI (Figma AI, Copilot, Cursor) to automate processes and enhance design productivity

Implement Design CI/CD pipelines , enabling continuous integration between design and development

Define and track OKRs and KPIs to measure adoption, efficiency, and design quality

Ensure accessibility standards (WCAG) and design quality benchmarks are consistently met

Act as a strategic partner to Product, Engineering, and Leadership teams

Drive alignment and influence without direct authority across distributed teams

Who You Are

Proven experience in Design Ops, Design Systems, or UX Operations roles

Strong experience building and scaling design systems and tokens across platforms

Hands-on experience with Figma, Storybook, and modern design tooling ecosystems

Understanding of design-to-code workflows and CI/CD for design systems





Experience integrating AI tools into design workflows (Figma AI, Copilot, Cursor)

Knowledge of accessibility standards (WCAG) and inclusive design practices

Strong understanding of cross-functional collaboration (Design, Product, Engineering)

Soft Skills

Strong system thinking and strategic mindset

Ability to influence without authority

Expertise in documentation and knowledge scaling

Comfortable making decisions in ambiguous environments

Strong communication and stakeholder management

AI-Native Engineering (Core Expectation)

Use Generative AI coding tools (e.g., GitHub Copilot, Cursor) as a first-class engineering assistant for:

Code scaffolding and refactoring

Code generation and optimisation

Test-cases and documentation generation

Build applications through AI-driven development practices , including:

AI-assisted debugging and troubleshooting

Intelligent code completion and pattern recognition

Automated documentation generation

Apply prompt engineering best practices for reliable, repeatable engineering outcomes.

Validate GenAI output (determinism checks, guardrails, fallback logic).

More About PALO IT
We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

Become a climate net-zero company

Deliver projects with a positive impact

Train 100% of our workforce on impact

Achieve B Corp certification across all offices

Continuously measure & improve employee happiness

What We Offer

Stimulating working environments

Unique career path

International mobility

Internal R&D; projects

Knowledge sharing

Personalized training

Entrepreneurship & intrapreneurship

📌 AI First Product Designer (Monterrey)
🏢 Solicitud de empleo para AI First Product Designer en PALO IT
📍 Monterrey