Enterprise Architect (Use Interface)

Requirements

• 8+ years in frontend engineering with at least 3 years in an architecture role
• Deep expertise in React and TypeScript, with hands-on experience modernizing legacy stacks
• Proven track record designing and scaling component libraries and design systems across multiple products
• Direct partnership experience with UX/product design teams on design system development and Figma handoff workflows
• Demonstrated daily use of AI coding tools in production and the ability to coach others on doing the same effectively
• Experience leading incremental UI modernization of live, customer-facing products without disrupting production
• Strong communication skills and equally comfortable presenting architecture decisions to engineers and executives
• (Desirable) Experience across 10+ product codebases simultaneously or in a platform engineering capacity
• (Desirable) Familiarity with accessibility standards (WCAG) at an architecture level
• (Desirable) Exposure to design token systems and multi-brand theming
• (Desirable) Background in SaaS or multi-tenant product environments
• You have modernized real production UIs at scale. You know what it means to inherit a legacy stack, earn the trust of a design team, and bring engineering along on a multi-year journey without losing momentum
• You are a multiplier. Your impact is measured not just by what you ship, but by how much better the engineers around you get. You coach without condescension, set standards without bureaucracy, and push for quality without blocking delivery
• You are genuinely good at AI-assisted development. You can show your workflow, explain your approach, and demonstrate the judgment to know when AI output is production-ready and when it isn’t

What the job involves

• Togetherwork is modernizing the user interfaces of 20+ SaaS products and we need an Enterprise UI Architect who can do three things simultaneously: partner with product and design organization to define the strategy, code the foundations, and raise the bar for every engineer on the team
• You will be in Figma sessions with designers, in code reviews with engineers, and in executive conversations about portfolio-level UI direction. You bring strong opinions about how modern UIs should be built, and you know how to bring a team along with you
• AI is central to how we work. You don’t just use AI tools yourself; you teach others how to use them well, set standards for AI-assisted development, and coach the team on separating quality output from noise
• Define and own the UI modernization roadmap across 20+ products spanning React, PHP, Rails, and .NET legacy stacks. You assess where each product sits, sequence the work pragmatically, and ensure every modernization decision is aligned with a coherent long-term vision
• Partner directly with designers to evolve our existing design system into a scalable, cross-portfolio standard. You bridge the gap between design intent and engineering implementation, ensuring components are consistent, accessible, and built to last across a polyglot environment
• Use AI coding tools daily to accelerate architecture decisions, component scaffolding, and Figma-to-code implementation. More importantly, you establish team-wide standards for how AI tools are used — defining what good AI-assisted output looks like, how to validate it, and when to rewrite it
• Coach and mentor frontend engineers across the organization on UI best practices, AI tool usage, component architecture, and modernization patterns. You make the team measurably better over time
• Work shoulder-to-shoulder with designers at every stage; from early system design to component handoff to production validation. You can tell when an implementation missed the design intent, and you fix it before it ships
• Get hands-on when it matters. You scope modernization work into safe, shippable increments using strangler patterns, feature flags, and rollback-safe deployments. You understand the risk surface of live production migrations and architect accordingly
• Proactive cost awareness across all initiatives
• Monitor AI infrastructure costs across products and surface optimization opportunities proactively