UI​/UX Designer

Job Title:

Product Designer (UX & UI)

Location :
Mumbai
Experience : 5+ Years (Individual Contributor)

About YOTTA:
Yotta Data Services is India’s leading sovereign AI infrastructure, cloud platform and data centre services company, enabling enterprises, governments, startups, and digital platforms to build, deploy, and scale next-generation AI and digital workloads securely within India.

With hyperscale data centre campuses in Navi Mumbai and Greater Noida (Delhi NCR), advanced GPU-powered AI infrastructure, and a comprehensive ecosystem of cloud, AI, hosting, cybersecurity, and managed platform services, Yotta delivers high-performance, scalable, and compliant digital infrastructure built for the AI era.

Yotta is at the forefront of powering India’s sovereign AI and digital transformation journey through world-class infrastructure, deep technology partnerships, and fully India-hosted enterprise-grade platforms.

Job Scope:
Yotta is building next-generation AI-powered products, including no-code AI builders, enterprise SaaS platforms, intelligent workflow systems, and data-intensive applications.

We are looking for an experienced Product Designer who can transform complex business and technology workflows into intuitive, effective, and scalable product experiences. You will own design initiatives from problem discovery through delivery—working closely with Product Managers, Engineers, Researchers, Data Scientists, and business stakeholders.

This role requires a balance of user empathy, product thinking, interaction design, visual craft, and commercial awareness. You will help shape product direction, improve design quality, and ensure that design decisions contribute to meaningful user and business outcomes.

Total /Relevant

Experience:

5+ years of experience

Key Responsibilities:

A. Product Discovery and Strategy
Partner with Product Managers and business stakeholders to understand product goals, customer needs, operational constraints, and success metrics.
Participate in product discovery through stakeholder interviews, user research, competitive analysis, workshops, and data review.
Frame ambiguous problems, identify user pain points, and translate insights into clear design opportunities.
Contribute to product strategy, roadmap discussions, feature prioritisation, and experience principles.
Define hypotheses and success measures for major design initiatives.
Advocate for users while balancing business priorities, technical feasibility, and delivery timelines.
B. End-to-End Product Design
Own the complete design process for assigned products and features, from discovery and concept development through implementation and iteration.
Create information architectures, journey maps, personas, task flows, wireframes, prototypes, and high-fidelity interfaces.
Design complex experiences such as dashboards, workflow builders, configuration tools, editors, administrative systems, and AI-assisted interactions.
Simplify technical and data-heavy workflows without reducing necessary functionality.
Account for complete product behaviour, including loading, empty, success, validation, permission, error, and edge-case states.
Design responsive experiences across relevant devices and screen sizes.
Validate concepts early and refine solutions using research, feedback, and product data.
C. Interaction and Visual Design
Produce polished, implementation-ready interfaces with strong attention to hierarchy, typography, spacing, colour, and content.
Define clear interaction patterns for navigation, forms, tables, search, filtering, data visualisation, drag-and-drop experiences, and conversational interfaces.
Create interactive prototypes to communicate behaviour, validate ideas, and align stakeholders.
Apply accessibility and inclusive-design principles throughout the design process.
Maintain a high standard of consistency and craft across products.
D. AI and Emerging Product Experiences
Design transparent, usable, and trustworthy experiences for AI-powered products.
Create interaction patterns for prompting, model configuration, AI-generated output, review and approval, feedback, and human oversight.
Consider uncertainty, explainability, user…