Product Designer, Design Systems

📍 Job Overview

Job Title: Product Designer, Design Systems

Company: Epicor Software Corporation

Location: Hyderabad, India & Bengaluru, India

Job Type: FULL_TIME

Category: Design Systems, Product Design, UI/UX

Date Posted: April 26, 2026

Experience Level: Mid-Level (2-5 years)

Remote Status: Hybrid

🚀 Role Summary

• This role is pivotal in evolving Epicor's design system, "Lux," serving as the foundational language for all product interfaces and AI agent-generated UIs.

• You will be responsible for the end-to-end ownership of design system components, tokens, and patterns, bridging the gap between design (Figma) and development (code) and AI-driven interfaces.

• The position requires a strong understanding of design tokens and their application across diverse platforms, with a focus on maintaining an enterprise-grade, usable, and aesthetically consistent UI.

• You will play a key role in developing AI-native design workflows, ensuring system compliance and quality regardless of the creation method (human or AI).

📝 Enhancement Note: While the title is "Product Designer, Design Systems," the responsibilities and required skills clearly indicate a specialized role focused on the infrastructure and governance of a design system, with a significant emphasis on its interaction with AI. This is a strategic role within the Design Infrastructure team, not a general product design position.

📈 Primary Responsibilities

• Design, maintain, and evolve Lux components, design tokens (color, typography, spacing, motion), and reusable patterns within Figma.

• Ensure the Figma design system library is meticulously organized and updated with variants, auto-layout, and responsive primitives.

• Partner closely with engineering teams to ensure design intent is accurately translated into production code and that the component library is robust.

• Develop and maintain comprehensive documentation in Zeroheight, covering components, patterns, accessibility guidelines, and contribution rules to foster widespread adoption.

• Integrate and optimize AI-native design workflows, enabling components to seamlessly transition between Figma and code, and validating system compliance in AI-generated outputs.

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

• Establish and manage scalable governance models for the design system, including contribution workflows, review processes, versioning, and deprecation strategies.

• Support and enable product teams in their adoption of the design system, providing guidance to designers, collaborating with Product Managers, and assisting developers.

• Utilize telemetry and component usage data to inform system evolution, prioritize new component development, manage deprecations, and identify areas for improvement.

📝 Enhancement Note: The responsibilities highlight a blend of core design system work (components, tokens, documentation) with forward-thinking AI integration and data-driven iteration. The emphasis on "governance" and "telemetry" suggests a mature and scalable design system operation.

🎓 Skills & Qualifications

Education:

Experience:

• 3-5 years of professional product design experience.

• A minimum of 2 years of dedicated experience focused specifically on designing and managing design systems.

Required Skills:

• Deep expertise in Figma, including advanced use of components, variants, auto-layout, tokens, and library management.

• Strong UI craft and a demonstrated ability to design scalable components and patterns.

• Proficiency in designing with design tokens and understanding their implementation across different platforms.

• Active AI fluency in design practice, including the use of AI tools for component exploration, documentation generation, pattern validation, and rapid prototyping.

• Excellent documentation skills, particularly for design systems, using tools like Zeroheight.

• Understanding of accessibility principles and their integration into design systems.

Preferred Skills:

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

• Hands-on experience with AI tools for code validation or component building (e.g., Cursor, Claude Code, Copilot).

• Understanding of how AI agents consume and interact with design systems.

• Ability to articulate the evolution of design systems from libraries to protocols, emphasizing governance, telemetry, and quality.

• Experience with A/B testing and iterating based on real-world adoption data.

• Familiarity with cross-platform implementation strategies for design systems.

📝 Enhancement Note: The emphasis on "AI fluency" and "AI-native design workflows" is a critical differentiator for this role, moving beyond traditional design system responsibilities to incorporate emerging technologies. The "floor" expectation of strong systems craft and Figma depth is elevated by the "what sets you apart" criteria related to AI integration and enterprise UI complexity.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a comprehensive understanding of design systems, showcasing personal ownership of significant components, tokens, or patterns from conception to implementation.

• Include case studies that highlight the process of creating scalable and reusable UI elements, emphasizing consistency and efficiency gains.

• Showcase examples of how design tokens were architected and applied to ensure cross-platform consistency and theming capabilities.

• Present evidence of your ability to document design system elements clearly and comprehensively, making them accessible and usable for various audiences.

Process Documentation:

• Provide examples of your process for defining and documenting component specifications, including states, behaviors, accessibility notes, and usage guidelines.

• Showcase your approach to maintaining and evolving a Figma component library, including strategies for organization, versioning, and managing contributions.

• Illustrate your methodology for testing and validating design system components and patterns, both in design tools and potentially in collaboration with engineering.

• Detail your experience in establishing and adhering to governance models for design systems, including contribution workflows, review cycles, and deprecation strategies.

📝 Enhancement Note: For a Design Systems role, the portfolio is paramount. It needs to go beyond general UI design and specifically highlight expertise in system thinking, scalability, and the practical application of design systems. The AI-native aspect means showcasing how systems are consumed and potentially generated by AI, requiring a forward-thinking approach in portfolio examples.

💵 Compensation & Benefits

Salary Range:

Benefits:

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

• Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.

• Career Development: Free LinkedIn Learning licenses for all employees, along with a Mentoring Program to enhance personal development.

• Education Support: Geographically specific programs to help balance the cost of education with the benefits of continued learning.

• Inclusive Workplace: Collaboration within a diverse, global team that fosters innovation and celebrates partnership.

• Work-Life Balance: Policies built on mutual trust and support, encouraging time off for rest and recharge.

• Global Mobility: Comprehensive support for international relocations and permanent residency processes.

Working Hours:

• Standard full-time working hours are implied, likely around 40 hours per week. Given the hybrid work arrangement and global nature of Epicor, there may be flexibility, but core business hours for collaboration with teams in India and potentially other regions will be expected.

📝 Enhancement Note: Salary estimates are based on research of mid-level Product Designer/Design System roles in major Indian tech hubs like Hyderabad and Bengaluru, considering the specific requirements and the company's stated benefits. The actual range can fluctuate based on negotiation and specific candidate qualifications.

🎯 Team & Company Context

🏢 Company Culture

Industry:

Company Size:

Founded:

Team Structure:

• This role is part of the "Design Infrastructure team," which is responsible for the company's design system, "Lux." This team likely comprises specialized designers and potentially engineers focused on creating and maintaining the core design language and tools used across Epicor's product portfolio.

• The team will report into a Design leadership structure, with close collaboration expected with Product Management, Engineering (front-end development), and potentially AI/ML teams.

Methodology:

• The description emphasizes an "AI-native" approach, suggesting that data-driven decisions, AI-assisted workflows, and the integration of AI tools are core to the team's methodology.

• There's a focus on "governance" and "telemetry," indicating a rigorous, data-informed approach to evolving the design system, prioritizing quality, scalability, and adoption over theoretical perfection.

Company Website:

• https://www.epicor.com/

📝 Enhancement Note: The combination of a long-standing ERP company with a forward-thinking approach to design systems and AI integration suggests a culture that values both established best practices and innovation. The scale of the company and its design system implies a need for strong process, governance, and collaboration skills.

📈 Career & Growth Analysis

Operations Career Level:

Reporting Structure:

Operations Impact:

Growth Opportunities:

• Design System Specialization: Deepen expertise in advanced design system architecture, governance, and AI integration within a large enterprise.

• Leadership Potential: Progress into a Senior Design System Designer or Lead role, taking on more strategic responsibilities for system direction and team mentorship.

• Cross-Functional Expertise: Develop a strong understanding of front-end development, AI workflows, and enterprise software product lifecycles, opening doors to roles in design operations, product management, or developer relations.

• AI in Design: Become a thought leader in the application of AI to design systems, a rapidly evolving and highly sought-after skill set.

📝 Enhancement Note: This role offers a clear path for specialization within the design systems domain, particularly in the context of AI. The impact is significant, as the design system is fundamental to Epicor's product strategy and its AI initiatives. Growth opportunities lean towards deepening specialized knowledge or moving into leadership within design infrastructure.

🌐 Work Environment

Office Type:

Office Location(s):

Workspace Context:

• The hybrid model implies that the workspace is designed to facilitate collaboration when in the office, likely featuring meeting rooms, shared workspaces, and areas for team interaction.

• Access to industry-standard design tools (Figma) and documentation platforms (Zeroheight) is essential, and the company will likely provide necessary software licenses and hardware.

Work Schedule:

• A standard full-time schedule (likely 40 hours/week) is expected, with the flexibility afforded by the hybrid arrangement. Core hours will likely be established for essential team meetings and cross-functional synchronization, particularly with teams in different time zones.

📝 Enhancement Note: The hybrid nature of the role suggests that candidates should be comfortable working both independently and collaboratively, with strong communication skills to bridge the gap between remote and in-office interactions. The locations in India point to a significant presence in a key global technology market.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely conduct an initial screening to assess basic qualifications, experience, and cultural fit.

• Portfolio Review: A dedicated session to present and discuss your design system portfolio. This is critical. Be prepared to walk through specific case studies, explaining your process, design decisions, challenges, and outcomes. Focus on how you've built, documented, and scaled design systems, and how you've integrated AI into your practice.

• Technical/Skills Interview: This may involve a design challenge or a deep dive into your Figma and design token expertise. Expect questions about component architecture, variant usage, auto-layout, responsive primitives, and your approach to AI-native design workflows.

• Cross-Functional Interview: You'll likely meet with engineers and product managers to assess collaboration skills, communication style, and your ability to work effectively with diverse stakeholders. Discussions will cover design-to-code handoff, governance, and adoption strategies.

• Final Interview: Potentially with senior leadership to discuss strategic alignment, long-term vision for the design system, and overall fit within the company culture.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 of your strongest design system projects. Prioritize those that demonstrate end-to-end ownership, significant impact, and your unique approach to AI integration.

• Structure Your Case Studies: For each project, clearly articulate the problem, your role and responsibilities, the process you followed, key design decisions, challenges encountered, and the measurable outcomes (e.g., adoption rates, efficiency gains, consistency improvements, AI integration success).

• Highlight AI Integration: Explicitly showcase how you've used AI tools in your design system work, from component exploration to documentation or pattern validation. Discuss your opinions on AI's role in design systems and how you ensure quality and governance.

• Figma Mastery: Be ready to demonstrate your Figma proficiency, explaining your approach to component structure, variants, auto-layout, and token implementation.

• Documentation Excellence: Showcase your documentation examples (e.g., Zeroheight screenshots) and explain your philosophy on effective design system documentation.

• Quantify Impact: Where possible, use data and metrics to demonstrate the value of your work.

Challenge Preparation:

• Design System Thinking: Practice designing a small set of components or patterns for a specific scenario, considering their scalability, reusability, and integration with existing tokens.

• AI Application: Prepare to discuss how you would approach designing a component or pattern that needs to be consumable by an AI agent, or how you would use AI to accelerate a design system task.

• Problem-Solving: Be ready to tackle hypothetical challenges related to design system adoption, governance, or technical implementation.

📝 Enhancement Note: The interview process will heavily weigh the portfolio, particularly its demonstration of deep design system expertise and forward-thinking AI integration. Candidates should prepare to articulate their strategic thinking about the future of design systems in an AI-driven world.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core tool for designing and managing the Lux design system library, including components, variants, auto-layout, and design tokens.

• Zeroheight: The primary platform for documenting the design system, serving as the "front door" for designers and developers.

• AI Design Tools: Candidates are expected to be fluent in using AI tools (e.g., Cursor, Claude Code, Copilot, or similar) for component exploration, documentation generation, pattern validation, and rapid prototyping.

• Version Control Systems (Implied): While not explicitly stated, collaboration with engineering on component libraries suggests familiarity with Git or similar systems for managing code versions.

Analytics & Reporting:

• Telemetry Tools: Used to gather data on component usage, adoption rates, and system performance to inform iteration and decision-making.

• Data Analysis Tools: To process and interpret telemetry data and make informed decisions about system evolution.

CRM & Automation:

• Not directly applicable to this role, as it's focused on design systems rather than sales or marketing operations. However, understanding how the design system impacts the broader product development lifecycle is key.

📝 Enhancement Note: Proficiency in Figma and Zeroheight is foundational. The key differentiator for this role is active fluency and strong opinions on AI tools within the design practice, particularly as they relate to design systems.

👥 Team Culture & Values

Operations Values:

• Partnership: A strong emphasis on collaboration ("truly a team," "partners") is evident, highlighting the need to work effectively with engineering, product management, and other stakeholders to ensure the design system's success.

• Proactive & Proud: The company culture encourages taking initiative and taking pride in one's work, which is essential for owning and driving the evolution of a critical design system.

• Data-Driven & Iterative: The use of telemetry and component usage data indicates a culture that values measurable outcomes and continuous improvement based on real-world feedback.

• Quality & Governance: The emphasis on holding a "quality bar" and establishing "governance" points to a culture that prioritizes robust, scalable, and reliable solutions, especially in an enterprise context.

• AI-Native Mindset: A forward-thinking approach and comfort with integrating AI into workflows are expected, reflecting a culture that embraces technological advancement.

Collaboration Style:

• Cross-Functional Integration: The role requires deep collaboration with engineering to ensure design intent is realized in code and with product management to align the design system with product roadmaps.

• Shared Ownership: The design system is a shared asset, so the culture likely fosters a collaborative environment where teams contribute to and benefit from its evolution.

• Feedback Loops: A culture that encourages feedback for continuous improvement is crucial, especially in managing a system used by many.

📝 Enhancement Note: The company's stated values of being "Proactive, Proud, Partners" combined with the role's focus on design systems and AI suggest a culture that values initiative, accountability, collaboration, and a commitment to delivering high-quality, scalable solutions.

⚡ Challenges & Growth Opportunities

Challenges:

• AI Integration Complexity: Balancing the benefits of AI-assisted design with the need for strict governance, consistency, and quality control. Ensuring AI-generated output aligns with the design system's standards will be an ongoing challenge.

• Scalability and Adoption: Ensuring the design system ("Lux") effectively serves thousands of designers, developers, and AI agents across a large product portfolio, and driving consistent adoption.

• Maintaining System Health: Keeping the Figma library clean, organized, and up-to-date as it grows, and managing the deprecation of older components or patterns.

• Bridging Design and Code for AI: Navigating the technical intricacies of ensuring design intent survives handoffs not just to human developers but also to AI agents that consume the system's vocabulary.

• Defining "Protocol" vs. "Library": Articulating and implementing the shift from a simple library of components to a more foundational "protocol" that governs AI generation and complex UIs.

Learning & Development Opportunities:

• AI in Design Systems: Become an expert in pioneering AI applications within design systems, a cutting-edge field.

• Enterprise UI Patterns: Gain in-depth experience with the complexities of enterprise software UI design.

• Design System Strategy: Contribute to the strategic direction of a large-scale, critical design system.

• Cross-Platform Implementation: Deepen knowledge of how design systems are implemented across various platforms and technologies.

• Mentorship: Benefit from Epicor's formal mentorship programs and learn from experienced professionals in a large, established tech company.

📝 Enhancement Note: The primary challenges revolve around the innovative integration of AI and the strategic evolution of the design system into a "protocol." Growth opportunities are strongly tied to developing expertise in these emerging areas.

💡 Interview Preparation

Strategy Questions:

• Design System Philosophy: "Describe your philosophy for building and maintaining a scalable design system that serves both human designers and AI agents. How do you balance flexibility with governance?"

  • Preparation: Focus on the "protocol vs. library" concept, emphasizing how tokens and patterns become the grammar for AI. Discuss governance models, contribution workflows, and how to measure success.

• AI Integration Strategy: "How would you leverage AI tools in your daily work as a Design Systems Designer? What are the biggest risks, and how would you mitigate them to maintain system integrity?"

  • Preparation: Provide specific examples of AI tool usage (e.g., generating documentation drafts, exploring component variants, validating patterns). Discuss quality assurance processes for AI-generated outputs and your role in setting those standards.

• Component Design & Implementation: "Walk us through a complex component you designed. How did you approach its architecture in Figma, define its variants, and ensure it translates effectively to code and AI consumption?"

Company & Culture Questions:

• Epicor's Design System Vision: "Based on our job description, what do you see as the biggest opportunities and challenges for the Lux design system moving forward, especially with AI integration?"

  • Preparation: Research Epicor's products and market position. Connect your understanding of design systems and AI to their business goals.

• Collaboration Approach: "Describe a time you had to influence cross-functional teams (engineering, product) to adopt a new design system component or pattern. What was your strategy?"

  • Preparation: Use the STAR method. Highlight your communication, negotiation, and problem-solving skills in driving adoption.

• Measuring Impact: "How do you measure the success and ROI of a design system? What metrics would you track for Lux, particularly concerning AI usage?"

Portfolio Presentation Strategy:

• Narrative Arc: Frame each case study with a clear problem statement, your unique solution, the process, and the impact.

• Show, Don't Just Tell: Use visuals (Figma screenshots, Zeroheight examples, code snippets if applicable) to illustrate your points.

• AI Focus: Dedicate specific slides or talking points to how AI was integrated into your projects, your learnings, and your opinions on its future role.

• Conciseness: Be mindful of time. Prioritize the most impactful aspects of your work.

• Interactive Elements: Be prepared for follow-up questions and engage in a discussion about your work.

📝 Enhancement Note: The interview preparation should strongly emphasize the unique aspects of this role: the intersection of design systems, enterprise UI, and AI. Candidates need to demonstrate not just technical skill but strategic thinking about the future of design in an AI-augmented world.

📌 Application Steps

To apply for this Product Designer, Design Systems position:

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

• Portfolio Customization: Tailor your portfolio to prominently feature your experience with design systems, Figma mastery, and your specific contributions to AI-native design workflows. Highlight case studies that demonstrate end-to-end ownership, scalability, and governance.

• Resume Optimization: Ensure your resume clearly articulates your years of experience in design systems and product design, using keywords such as "Design Systems," "Figma," "Design Tokens," "UI Design," "Zeroheight," "AI-Native Design," "Enterprise UI," and "Component Library." Quantify achievements where possible.

• Interview Preparation: Practice articulating your design system philosophy, your approach to AI integration, and your experience with complex enterprise UI challenges. Prepare specific examples for behavioral questions and be ready to present your portfolio effectively.

• Company Research: Familiarize yourself with Epicor's products, market position, and company values. Understand their commitment to AI and how a robust design system contributes to their business objectives.

⚠️ 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.

---