AI First Product Designer

Who We Are Build. Scale. Sustain.

PALO IT is a global 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 an