AI Native 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 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