Requirements
- Bachelor's degree in Computer Science or a related technical field; or equivalent related professional experience.
- 5+ years of relevant professional experience as a UX Engineer, Frontend Engineer, or similar role building and owning production web experiences at scale.
- Demonstrated proficiency with modern web technologies (React, Node.js, JavaScript/TypeScript, HTML, CSS, component-based frameworks) and proven ability to design and implement robust, maintainable UI system architectures, including API design and data modelling for frontend integrations.
- Experience leading end-to-end delivery of complex user-facing features in cross-functional product teams (engineering, product, design), with accountability for quality, performance, and operational stability.
- Track record of applying qualitative and quantitative data — including experimentation, A/B testing, and UX performance metrics — to drive design and implementation decisions.
- Demonstrated ability to contribute to or evolve shared component libraries, design systems, or multi-tenant UI platforms used by multiple product teams or brands.
- Enthusiasm for responsible use of AI-powered tools (e.g., code assistants, test generators, documentation helpers) to accelerate delivery, with strong engineering judgment to review, refine, and validate AI-generated outputs.
- Commitment to ethical AI use, including data privacy, security considerations, and avoiding over-reliance on AI-generated outputs without appropriate validation and testing.
Nice to Have
- Experience designing and leading the evolution of shared UX platforms, design systems, or multi-tenant component libraries used at significant scale across multiple brands or product surfaces.
- Proven technical leadership in cross-functional squads: driving architecture discussions, mentoring peers, and influencing technical strategy for search, discovery, or growth-oriented frontend experiences.
- Track record of owning and improving frontend performance, accessibility, reliability, and operational excellence for high-traffic web properties, including defining and enforcing Core Web Vitals, testing strategies, and observability practices.
- Hands-on experience safely integrating and operating AI/ML-enabled solutions to improve UX outcomes — such as AI-assisted content generation, personalisation engines, or intelligent recommendations — while maintaining control, observability, and user trust.
- Experience applying LLMs or predictive models to generate, adapt, or personalise search and recommendation experiences in a measurable and responsible way.
- Familiarity with search UX patterns, typeahead/autocomplete systems, recommendation surfaces, or similar discovery-focused experiences in a high-traffic consumer product context.
Benefits
- exciting travel perks
- generous time-off
- parental leave
- a flexible work model (with some pretty cool offices)
- career development resources
