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Aera Technology

Decision Intelligence · AI decision automation

Ux/ui Designer Pune (India)

MumbaiPosted 1 month ago
Digital Interface DesignJuniorFull Time; Regular
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Aera Technology is the Decision Intelligence company. We deliver innovation and services that enable enterprises to operate sustainably, intelligently, and efficiently. Our platform, Aera Decision Cloud, integrates with your existing systems to digitize, augment, and automate decisions in real time. Aera helps enterprises around the world transform decision making - delivering millions of recommendations that have resulted in significant revenue gains and cost savings for some of the worlds best-known brands. As a UX Designer who will be contributing to redesign our existing product with contemporary customer-centric user interface and defining end-to-end experience for current products/initiatives, working collaboratively with other designers, product management, and engineering team. Responsibilities: User research & discovery: Plan and run interviews, task analysis, surveys; synthesize insights into personas, and prospect maps. Information architecture: Define navigation, taxonomy, and content hierarchy; design flows for key journeys and edge cases. Interaction design: Create wireframes, user flows, and prototypes (low high fidelity); specify component behaviors and micro-interactions. Visual & motion design: Establish visual hierarchy, layout, typography, iconography, motion principles; ensure consistency and craft. Design systems: Build and maintain reusable components, tokens, and patterns; partner with engineering for implementation parity. Accessibility: Design and review for WCAG compliance (contrast, focus, semantics, ARIA), keyboard/voice support, captions/alt text. Usability testing: Plan and run tests, A/Bs, heuristic reviews; translate findings into iterations. Content design: Write and structure UI copy, error messages, empty states, and onboarding. Dev collaboration: Provide specs, states, and assets; participate in sprint ceremonies, QA design. AI experience strategy: Identify where AI adds value (assist, automate, augment); priori .

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