AI First Product Designer (Ciudad de México)

AI First Product Designer (Ciudad de México)

23 oct
|
Solicitud de empleo para AI First Product Designer en PALO IT
|
Ciudad de México

23 oct

Solicitud de empleo para AI First Product Designer en PALO IT

Ciudad de México

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.

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- 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:

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- 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.

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- 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

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- 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

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- 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)

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- 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

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

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