[About Yotta](https://yotta.com/)
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
**
**
**
**
A. Product Discovery and Strategy
**
**
Product Managers and business stakeholders to understand product goals, customer needs, operational constraints, and success metrics.
in product discovery through stakeholder interviews, user research, competitive analysis, workshops, and data review.
ambiguous problems, identify user pain points, and translate insights into clear design opportunities.
product strategy, roadmap discussions, feature prioritisation, and experience principles.
hypotheses and success measures for major design initiatives.
users while balancing business priorities, technical feasibility, and delivery timelines.
B. End-to-End Product Design
**
**
complete design process for assigned products and features, from discovery and concept development through implementation and iteration.
information architectures, journey maps, personas, task flows, wireframes, prototypes, and high-fidelity interfaces.
complex experiences such as dashboards, workflow builders, configuration tools, editors, administrative systems, and AI-assisted interactions.
technical and data-heavy workflows without reducing necessary functionality.
complete product behaviour, including loading, empty, success, validation, permission, error, and edge-case states.
responsive experiences across relevant devices and screen sizes.
concepts early and refine solutions using research, feedback, and product data.
C. Interaction and Visual Design
**
**
polished, implementation-ready interfaces with strong attention to hierarchy, typography, spacing, colour, and content.
interaction patterns for navigation, forms, tables, search, filtering, data visualisation, drag-and-drop experiences, and conversational interfaces.
interactive prototypes to communicate behaviour, validate ideas, and align stakeholders.
accessibility and inclusive-design principles throughout the design process.
high standard of consistency and craft across products.
**D. AI and Emerging Product Experiences**
**
**
transparent, usable, and trustworthy experiences for AI-powered products.
interaction patterns for prompting, model configuration, AI-generated output, review and approval, feedback, and human oversight.
uncertainty, explainability, user control, data privacy, and failure recovery when designing AI interactions.
interaction models while ensuring that experiences remain understandable and valuable to users.
E. Design Systems and Scalability
**
**
actively contribute to Yotta’s shared design system and Figma component libraries.
reusable patterns and propose new components, variants, guidelines, and interaction standards.
Engineering to ensure components are feasible, accessible, and implemented consistently.
design-system governance, documentation, adoption, and quality.
and implementation inconsistencies across products.
**F. Research, Validation, and Optimisation**
**
**
support user interviews, concept validation, usability testing, heuristic evaluations, and product reviews.
qualitative and quantitative findings into actionable design improvements.
analytics, customer feedback, support insights, and usability findings to evaluate shipped experiences.
on evidence and track whether design changes improve defined outcomes.
research findings and design recommendations clearly to product teams and leadership.
**G. Cross-Functional Collaboration and Delivery**
**
**
closely with Product, Engineering, Research, Data Science, Marketing, Sales, and Customer Success.
design workshops, critiques, and decision-making sessions.
design rationale clearly and build alignment among technical and non-technical stakeholders.
developers with clear specifications, prototypes, annotations, assets, and interaction guidance.
implemented experiences and work with Engineering to resolve quality gaps before release.
design during sprint planning, reviews, retrospectives, and product demonstrations.
H. Design Leadership
**
**
quality of product thinking and design execution across the team.
thoughtful feedback during design critiques and product reviews.
less-experienced designers and support their professional development.
design processes, collaboration practices, tools, and documentation.
risks, trade-offs, and recommendations with confidence and clarity.
culture of customer focus, experimentation, accountability, and continuous improvement.
Must-have skill
**
**
product design experience, preferably working on SaaS, enterprise, B2B, AI, cloud, or data-intensive products.
- Strong portfolio demonstrating
end-to-end product design, structured problem-solving, systems thinking, and measurable product impact.
- Demonstrated experience taking
complex features or products from discovery through launch and iteration.
- Strong command of interaction
design, information architecture, user flows, prototyping, and visual design.
- Advanced proficiency in Figma,
including components, variants, auto layout, variables, prototyping, and design libraries.
- Experience designing responsive
web applications and complex desktop workflows.
usability principles, accessibility standards, and inclusive design.
- Experience collaborating with
Product Managers and Engineers in agile product teams.
- Ability to interpret customer
feedback, research findings, business requirements, and product data.
presentation, facilitation, and stakeholder-management skills.
- Ability to manage multiple
priorities and operate effectively in a fast-moving, evolving environment.
Portfolio Expectations
**
** The portfolio should include at least two detailed case studies demonstrating:**
**
**
user context, and business objective.
candidate’s specific role and level of ownership.
evidence used to guide decisions.
of alternative solutions and relevant trade-offs.
from early concepts to the final experience.
with Product and Engineering.
learnings, and post-launch iteration.
shipped work, where confidentiality permits.
**Good-to-Have
**
**
- Experience designing AI-powered
products or human–AI interactions.
- Familiarity with no-code or
low-code platforms, workflow builders, developer tools, or cloud products.
- Experience designing data
visualisations, monitoring platforms, analytics products, or administrative systems.
- Working knowledge of WCAG 2.2
and accessibility testing practices.
- Basic understanding of HTML,
CSS, and modern frontend component frameworks.
- Experience contributing to or
governing a multi-product design system.
analytics and experimentation tools.
micro-interactions, motion design, or advanced prototyping.
- Experience mentoring designers
or leading significant design initiatives.
Criteria**
**
**
master’s degree in design, Human–Computer Interaction, Interaction Design, Visual Communication, or a related discipline.
practical experience supported by a strong portfolio will also be considered.
certifications in product design, UX research, accessibility, or interaction design are beneficial but not mandatory.
**Certification Criteria**
**
**
**Shifts Timing, (If rotational, please specify)**
**
**
**Number of Interview Rounds **
**
** **Name of interviewer**
**
**
Behavioral Attributes:
- Customer empathy and curiosity
- Product and business acumen
- Structured problem-solving
- Creativity and attention to
detail
communication
trust-building
- Ownership and accountability
- Prioritisation and planning
- Quality-focused execution
- Mentoring and knowledge-sharing