Product Designer, Design Systems

📍 Job Overview

Job Title: Product Designer, Design Systems

Company: Epicor Software Corporation

Location: Hyderabad, Telangana, India / Bengaluru, Karnataka, India

Job Type: Full-time

Category: Design Operations / Product Design

Date Posted: June 04, 2026

Experience Level: 2-5 Years

Remote Status: Hybrid

🚀 Role Summary

• Design and maintain a comprehensive design system (Lux) that serves as the foundational vocabulary for product interfaces and AI agents, ensuring consistency and scalability across all Epicor products.

• Own the end-to-end lifecycle of design system elements, from conceptualization and Figma library management to implementation support and ongoing governance, fostering a collaborative environment for designers, developers, and AI.

• Drive AI-native design workflows, integrating AI tools for component exploration, documentation generation, pattern validation, and rapid prototyping to accelerate design processes while maintaining high quality and system compliance.

• Establish and enforce robust design system governance, including contribution models, review processes, versioning, and deprecation strategies, to ensure the system's integrity and long-term viability.

• Leverage telemetry and component usage data to inform strategic decisions, prioritize development efforts, and identify areas for system improvement and deprecation.

📝 Enhancement Note: This role is deeply embedded within the Design Infrastructure team, focusing on the strategic development and operationalization of Epicor's design system, "Lux." It requires a blend of strong UI design craft, deep technical understanding of design systems, and a forward-thinking approach to integrating AI into design workflows. The emphasis on enterprise UI, AI fluency, and system governance suggests a critical role in shaping the future of Epicor's product development.

📈 Primary Responsibilities

• Design, develop, and maintain components, tokens, and patterns within the Lux design system, ensuring clean Figma library organization with robust variants, auto-layout, and responsive primitives.

• Architect and implement the Lux token system across color, typography, spacing, radius, and motion, maintaining a consistent density-with-dignity rhythm suitable for enterprise UIs.

• Collaborate closely with engineering teams to ensure design intent is accurately translated into the component library and production code, facilitating seamless handoffs and consistent implementation.

• Create and curate comprehensive documentation in Zeroheight, covering components, patterns, accessibility guidelines, and contribution rules to maximize system discoverability and adoption.

• Integrate AI-native design workflows, enabling components to move fluidly between Figma and code, and supporting the validation of the system through production code feedback loops.

• Contribute to the development of prompt and pattern libraries that guide AI-assisted design to produce system-compliant output by default.

• Define and implement scalable governance models for the design system, including contribution frameworks, review processes, versioning strategies, and deprecation plans.

• Provide direct support and enablement to product teams, unblocking designers, partnering with Product Managers, and assisting developers in confidently shipping system-compliant features.

• Analyze telemetry and component usage data to drive data-informed decisions regarding system development priorities, deprecation candidates, and overall system health.

📝 Enhancement Note: The responsibilities highlight a hands-on ownership of the design system's technical and operational aspects. The role requires not only design execution but also strategic thinking around governance, AI integration, and data-driven iteration, which are critical for large-scale design systems in enterprise environments.

🎓 Skills & Qualifications

Education: Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field, or equivalent practical experience.

Experience: 3-5 years of product design experience, with a minimum of 2 years specifically focused on building and maintaining design systems.

Required Skills:

• Proven UI craft and a strong portfolio showcasing scalable component and pattern design within a design system context.

• Deep expertise in Figma, including advanced proficiency with design systems, components, tokens, variants, libraries, and design system operations.

• Comprehensive understanding of design tokens and their practical application across various platforms and technologies.

• Active AI fluency in design practice, with experience using AI tools for component exploration, documentation generation, pattern validation, and rapid prototyping.

• Ability to articulate strong opinions on the role of AI in design systems, balancing acceleration with the need for consistent, governed output.

• Experience in designing for enterprise UI, including complex tables, long workflows, and role-based interfaces.

• Familiarity with tools like Cursor, Claude Code, or Copilot for building components or validating patterns in code.

• Understanding of how AI agents consume design systems, and the implications for tokens as vocabulary and patterns as grammar.

• Ability to articulate the shift from a design system as a library to a design system as a protocol, emphasizing governance, telemetry, and quality.

• Experience testing, measuring, and iterating on design systems based on real adoption data. Preferred Skills:

• Experience leading or significantly contributing to a design system migration.

• Demonstrated ability to design for complex enterprise software with dense UIs and critical business workflows.

• Experience in setting up and managing design system governance, including contribution models, review processes, and versioning.

• Proficiency in analyzing telemetry and usage data to drive design system strategy.

• Understanding of front-end development principles and how design systems translate to code.

📝 Enhancement Note: The qualifications emphasize a unique intersection of traditional design system expertise with advanced AI fluency and enterprise UI experience. The "floor" is strong design systems craft, but the "differentiator" is the candidate's strategic thinking about AI's role in design systems and their ability to manage a system as a "protocol" rather than just a library.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of two years of dedicated design system work, highlighting contributions to component libraries, token architecture, and pattern design.

• Demonstrate end-to-end ownership of design system elements, from initial concept and Figma implementation to documentation and adoption support.

• Include examples of how design systems have been applied to solve complex UI challenges, particularly within enterprise software contexts.

• Present case studies that illustrate the impact of the design system on product consistency, development efficiency, and user experience.

• Clearly articulate your role and contributions within team-based design system projects. Process Documentation:

• Provide documentation that illustrates your approach to designing and managing design system components, including variant strategies, auto-layout usage, and token application.

• Showcase examples of your work on design token architecture, explaining the rationale behind your choices for color, typography, spacing, and motion.

• Present documentation related to design system governance, such as contribution guidelines, review processes, or versioning strategies.

• Include examples of how you have documented design system assets in tools like Zeroheight, ensuring clarity and accessibility for diverse audiences.

📝 Enhancement Note: The portfolio is critical for this role, as it needs to demonstrate not just design skills but also operational expertise in managing a complex, evolving design system. Emphasis should be placed on how the candidate has applied design principles to create scalable, maintainable, and adoptable systems, with specific attention to AI integration and enterprise UI needs.

💵 Compensation & Benefits

Salary Range: As this role is based in India, the salary will be competitive and commensurate with experience and location (Hyderabad/Bengaluru). Based on industry benchmarks for a Product Designer with 3-5 years of experience specializing in Design Systems in major Indian tech hubs, the estimated annual salary range is ₹12,00,000 - ₹25,00,000. This range accounts for the specialized nature of design systems, AI fluency, and enterprise UI experience.

Benefits:

• Comprehensive health and wellness benefits designed to support overall well-being.

• Opportunities for internal mobility, mentorship, and continuing education.

• Free LinkedIn Learning licenses for personal and professional development.

• Education support programs tailored to specific geographic locations.

• An inclusive, global workplace that fosters innovation and collaboration.

• Work-life balance policies built on mutual trust and support.

• Comprehensive support for international relocations and permanent residency processes (Global Mobility Support).

Working Hours: Standard full-time hours are expected, likely around 40 hours per week, with flexibility that aligns with global team collaboration and project deadlines.

📝 Enhancement Note: Salary figures are estimates based on industry data for similar roles in India. The benefits package is comprehensive, reflecting Epicor's commitment to employee growth, well-being, and global support. The "Hybrid" work arrangement implies a balance between in-office collaboration and remote work flexibility.

🎯 Team & Company Context

🏢 Company Culture

Industry: Enterprise Software (ERP, Business Management Solutions). Epicor focuses on providing software solutions for businesses in manufacturing, distribution, retail, and service industries, aiming to connect people, processes, and technology for better business outcomes.

Company Size: Approximately 5,000 employees globally. This size suggests a mature organization with established processes but also opportunities for significant impact and cross-functional collaboration.

Founded: Epicor was founded in 1972, indicating a long history and deep expertise in the enterprise software market. This longevity implies stability and a strong foundation in serving business needs.

Team Structure:

• The role sits within the "Design Infrastructure" team, which is responsible for the core design system (Lux).

• This team likely comprises specialized roles such as Design System Designers, UI Engineers, and potentially Design Operations specialists.

• Collaboration is expected to be high with product design teams, engineering teams, Product Managers, and potentially AI/ML teams. Methodology:

• Data-Driven Design: Emphasis on using telemetry and usage data to inform design decisions, track adoption, and prioritize development.

• AI-Native Workflows: Integration of AI tools throughout the design and development process, from ideation to production code.

• Systemic Thinking: Focus on building scalable, maintainable, and governed systems rather than isolated features.

• Partnership and Enablement: A culture of supporting and empowering product teams to effectively use the design system.

Company Website: https://www.epicor.com/

📝 Enhancement Note: Epicor's focus on essential industries and its long history suggest a company that values stability, deep domain expertise, and practical solutions. The emphasis on "Proactive, Proud, Partners" in their culture statement indicates a collaborative and customer-centric approach, which the Design Systems team must embody by enabling other teams.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-level to senior Product Designer with a specific specialization in Design Systems. It requires significant autonomy and ownership over critical design system assets and processes. The scope extends beyond just UI design to include system governance and AI integration, indicating a strategic impact on product development.

Reporting Structure: While not explicitly stated, a Design System Designer typically reports to a Design Lead, Design Manager, or Head of Design/Product Design. The role likely involves close collaboration with engineering leads and product management within the product development lifecycle.

Operations Impact: The design system is the backbone of product consistency and efficiency. This role's impact is significant:

• Efficiency: Streamlining design and development processes by providing reusable components and patterns.

• Consistency: Ensuring a unified user experience across all Epicor products, which is crucial for enterprise software adoption and usability.

• Scalability: Enabling rapid product development and iteration, especially as AI integration increases.

• Quality: Upholding design standards, accessibility, and AI compliance through robust governance and documentation.

Growth Opportunities:

• Specialization: Deepen expertise in design systems, AI-driven design, and enterprise UI architecture.

• Leadership: Potential to lead design system initiatives, mentor junior designers, and influence product strategy.

• Cross-functional Mastery: Develop strong partnerships with engineering, product management, and AI/ML teams.

• Strategic Influence: Contribute to the evolution of Epicor's product development methodology and technology stack.

• Career Path: Progression to Senior Product Designer, Lead Product Designer, Design System Lead, or Manager of Design Infrastructure.

📝 Enhancement Note: This role offers a unique opportunity for growth at the intersection of design systems and emerging AI technologies within a stable enterprise software company. The emphasis on AI-native workflows and system governance suggests a forward-looking career path for operations-minded designers.

🌐 Work Environment

Office Type: Hybrid. This indicates a blend of in-office collaboration and remote work flexibility, allowing for focused individual work and team-based interaction.

Office Location(s): Hyderabad, Telangana, India and Bengaluru, Karnataka, India. These are major tech hubs in India, offering access to a strong talent pool and vibrant tech ecosystems.

Workspace Context:

• Collaborative: The hybrid model and the nature of design systems work necessitate strong collaboration with designers, developers, and product managers, both in-person and virtually.

• Tool-Rich: Access to industry-standard design tools (Figma), documentation platforms (Zeroheight), and potentially AI-assisted design tools.

• Agile Environment: Likely operates within an agile development framework, requiring adaptability and iterative processes.

• Innovation Focus: The emphasis on AI and design systems suggests an environment that encourages experimentation and forward-thinking solutions.

Work Schedule: Standard full-time work hours (approximately 40 hours/week) are expected. The hybrid arrangement offers flexibility in managing one's schedule, balancing personal needs with team collaboration and project demands.

📝 Enhancement Note: The hybrid work environment in major Indian tech cities provides a balance of flexibility and in-person collaboration, crucial for effective design system development and team cohesion within a global organization.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and portfolio by the recruiter (Zeba Bahzad Khazi) to assess alignment with core requirements, especially design system experience and AI fluency.

• Portfolio Review & Design Discussion: A deeper dive into the candidate's portfolio with members of the Design Infrastructure team. Expect discussions on specific projects, design decisions, system architecture, and the candidate's approach to AI integration and enterprise UI.

• Technical/Skills Interview: An interview focusing on Figma proficiency, design token architecture, understanding of AI-native workflows, and governance strategies. This may involve practical exercises or whiteboard sessions.

• Cross-functional Collaboration Interview: An interview with engineering and/or product management stakeholders to assess collaboration skills, communication style, and ability to support product teams.

• Final Interview: A discussion with a hiring manager or senior leader to assess cultural fit, strategic thinking, and long-term potential.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 of your strongest projects that best showcase your design system expertise, AI fluency, and enterprise UI experience. Prioritize projects where you had significant ownership and impact.

• Tell a Story: For each project, clearly articulate the problem, your role, the process you followed (especially regarding design systems and AI), the solutions you implemented, and the measurable outcomes or impact.

• Highlight Systemic Thinking: Emphasize how your work contributes to scalability, consistency, and maintainability. Showcase your understanding of tokens, components, patterns, and governance.

• Demonstrate AI Integration: Clearly explain how you've used AI tools in your design process, your opinions on their effectiveness, and how you ensure quality and compliance when AI is involved.

• Prepare for Deep Dives: Be ready to discuss the technical details of your Figma libraries, token architecture, and any code-related aspects of your design system work.

Challenge Preparation:

• Design System Exercise: You might be asked to critique an existing component, suggest improvements to a pattern, or outline a strategy for a new component's implementation within the Lux system.

• Tokenization Task: A task might involve defining tokens for a specific UI element or explaining how a set of tokens would translate into different visual states or responsive behaviors.

• AI Integration Scenario: Be prepared to discuss how you would integrate AI tools into a specific design system workflow or how you would govern AI-generated designs.

• Process & Governance: Expect questions about how you would establish contribution guidelines, manage versioning, or handle deprecation of design system assets.

📝 Enhancement Note: The interview process is designed to thoroughly assess a candidate's technical skills in design systems and Figma, their strategic thinking regarding AI integration and governance, and their ability to collaborate effectively across disciplines. A well-prepared portfolio is essential.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core tool for design system creation, component design, library management, and collaboration. Expertise in advanced Figma features like components, variants, auto-layout, and library management is critical.

• Zeroheight: The primary platform for design system documentation. Proficiency in creating clear, comprehensive, and searchable documentation is required.

• AI Design Tools: Experience with AI tools such as Cursor, Claude Code, or Copilot for component exploration, documentation generation, pattern validation, and rapid prototyping.

Analytics & Reporting:

• Telemetry Tools: Familiarity with using telemetry and component usage data to inform design system strategy and identify areas for improvement. Specific tools may vary but the principle of data-driven iteration is key.

• Analytics Platforms: While not directly specified, understanding how to interpret usage data from product analytics platforms would be beneficial.

CRM & Automation:

• Project Management Tools: Likely used for task tracking and team collaboration (e.g., Jira, Asana, Trello).

• Version Control Systems: Understanding principles of versioning and potentially Git-based workflows for design assets or code components.

📝 Enhancement Note: The technology stack emphasizes Figma and Zeroheight as central to design system operations, with a strong emphasis on integrating AI tools. The ability to leverage data for decision-making is also a key technical requirement.

👥 Team Culture & Values

Operations Values:

• Precision & Consistency: A commitment to maintaining high standards of design quality and consistency across all products through meticulous system design and governance.

• Collaboration & Partnership: A belief in working closely with product, engineering, and AI teams to ensure the design system effectively serves their needs and drives product success.

• Innovation & Future-Forward: Embracing new technologies, particularly AI, to enhance design processes and create more intelligent, user-friendly interfaces.

• Data-Driven Improvement: Utilizing data and telemetry to continuously refine the design system, measure its impact, and make informed development decisions.

• Enablement & Support: A dedication to making the design system accessible, understandable, and easy to use for all product teams, fostering widespread adoption.

Collaboration Style:

• Proactive Engagement: Actively seeking out opportunities to collaborate with product teams, understand their challenges, and provide design system solutions.

• Transparent Communication: Maintaining open and clear communication regarding design system updates, changes, and best practices.

• Feedback Integration: Establishing mechanisms for receiving and incorporating feedback from designers and developers to continuously improve the system.

• Cross-functional Alignment: Working closely with engineering to ensure design intent is accurately translated into code and with Product Management to align design system development with product roadmaps.

📝 Enhancement Note: The team culture likely revolves around a commitment to excellence in design infrastructure, fostering strong cross-functional relationships, and driving innovation, particularly by integrating AI into the core of their product development.

⚡ Challenges & Growth Opportunities

Challenges:

• Scaling Governance: Developing and maintaining effective governance models that can scale with a growing product portfolio and increasing AI-driven design contributions.

• AI Integration Complexity: Navigating the evolving landscape of AI in design, ensuring AI-generated outputs are consistent with the design system and managing the quality bar.

• Adoption and Buy-in: Encouraging and ensuring consistent adoption of the design system across numerous product teams with varying levels of design maturity.

• Balancing Innovation and Stability: Integrating new technologies and patterns while maintaining the stability and reliability of a system used by thousands.

• Data Interpretation: Effectively collecting, analyzing, and acting upon telemetry data to drive meaningful improvements to the design system.

Learning & Development Opportunities:

• AI in Design Specialization: Deepen expertise in AI-powered design tools, prompt engineering for UI generation, and AI-driven system governance.

• Enterprise UI Best Practices: Gain extensive experience in designing for complex, data-intensive enterprise applications.

• System Architecture Mastery: Develop advanced skills in designing scalable, modular, and maintainable design systems.

• Leadership and Mentorship: Opportunities to mentor junior designers, lead design system initiatives, and influence product strategy.

• Industry Engagement: Potential to attend conferences, contribute to design system communities, and stay at the forefront of industry trends.

📝 Enhancement Note: This role presents significant challenges at the cutting edge of design systems and AI, offering substantial opportunities for professional growth and skill development in a high-impact area.

💡 Interview Preparation

Strategy Questions:

• "How would you approach establishing a governance model for a design system that incorporates AI-generated components?"

• "Describe a time you had to advocate for design system adoption. What were the challenges, and how did you overcome them?"

• "If we saw a significant drop in the usage of a particular component in our Figma library, how would you investigate and address it?"

• "How do you balance the need for design system consistency with the desire for product teams to innovate and differentiate their features?"

• "What are your core principles for designing enterprise-level UI that is both dense and usable?" Company & Culture Questions:

• "Based on your understanding of Epicor and our focus on essential businesses, how would you ensure the Lux design system supports our strategic goals?"

• "How do you see AI transforming the role of a design systems designer in the next 2-3 years?"

• "Describe your ideal collaboration with product managers and engineers when developing new design system assets."

• "How do you stay updated on the latest trends in design systems and AI design?" Portfolio Presentation Strategy:

• Start with the "Why": For each portfolio piece, clearly articulate the problem the design system or component was solving and its business context.

• Show, Don't Just Tell: Use visuals (Figma screenshots, interactive prototypes, documentation examples) to illustrate your points.

• Quantify Impact: Whenever possible, present metrics related to adoption, efficiency gains, consistency improvements, or reduction in design/dev time.

• Explain Your Process: Detail your methodology, especially how you applied design token architecture, component design patterns, AI tools, and governance principles.

• Highlight AI Fluency: Explicitly discuss your experience with AI tools, your strategic thinking about AI in design systems, and how you maintain quality.

📝 Enhancement Note: Interview preparation should focus on demonstrating a deep understanding of design systems operations, strategic thinking about AI integration, and the ability to articulate complex concepts clearly. Quantifiable results and a strong grasp of enterprise UI challenges will be key differentiators.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on the Epicor Workday jobs portal.

• Portfolio Customization: Ensure your portfolio prominently features your design system work, highlighting your expertise in Figma, design tokens, AI integration, and enterprise UI. Tailor your case studies to emphasize scalability, governance, and impact.

• Resume Optimization: Update your resume to clearly articulate your experience with design systems, AI-native design workflows, and your contributions to system operations. Use keywords such as "Design Systems," "Figma," "Design Tokens," "Zeroheight," "AI-Native Design," "Component Libraries," and "Enterprise UI."

• Interview Preparation: Practice articulating your experience using the STAR method (Situation, Task, Action, Result) for behavioral questions. Prepare to walk through your portfolio with confidence, focusing on your strategic approach and measurable outcomes.

• Company Research: Familiarize yourself with Epicor's products, target industries, and company culture. Understand their mission and values to better align your responses during interviews and demonstrate your interest.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.