UI / UX Designer
MigrationIT · Cairo, Egypt ·
- Category
- Design
- Experience
- 3+ years
- Discovery → delivery: Plan and run lean discovery; translate insights into flows, wireframes, and high‑fidelity prototypes; validate with evaluative research.
- E‑grocery & omnichannel: Design list‑building, re‑order, substitutions, delivery slotting, order tracking, and receipts.
- Design system: Evolve tokens/components, variants, and patterns with RTL/LTR parity and localization; maintain code parity (Storybook/design‑token exports) and CI checks for a11y/theming.
- Metrics & experiments: Define UX metrics and baselines; partner on instrumentation; propose A/B / multivariate tests; iterate to measurable uplifts (order conversion, AOV, reorder rate, retention, Customer feedback).
- Content & trust: Write clear Arabic/English microcopy; design for transparent pricing, consent, substitutions, and inventory nuance; build trustworthy UI.
- Accessibility & performance: Enforce WCAG 2.2 AA; set Core Web Vitals budgets; design resilient flows for intermittent connectivity.
- Cross‑functional delivery: Partner with Product on scope/dependencies/risks; break work into incremental releases.
- Documentation & hygiene: Keep decisions documented; maintain tidy, versioned design files with naming conventions and traceability.
Requirements
- Bachelor’s in HCI/Interaction/Product Design, Human Factors, Visual/Industrial Design, or similar.
- Experience: 3+ years designing for e‑commerce/omnichannel retail, grocery/CPG, marketplaces.
- Experience at a top MENA company or startup.
- Portfolio with shipped work (B2C shopper flows and/or internal retail tools), showing problem → solution → impact, systems thinking, and measurable results.
- Tools & craft: Figma (auto‑layout, variables, prototyping), design tokens, component libraries, usability testing fundamentals.
- Accessibility & performance: WCAG, performance‑aware design, high‑quality handoff, file/version hygiene.
- Proven ability to navigate ambiguity, make trade‑offs, and deliver outcomes with incomplete data and shifting priorities.
- AI fluency: Safe, effective use of AI/LLMs to accelerate research, content, synthesis, and QA.