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 Operations

Date Posted: 2026-05-15

Experience Level: 2-5 Years

Remote Status: Hybrid (Implied by location requirements and typical enterprise policies for this role)

🚀 Role Summary

• Drive the evolution and maintenance of Epicor's Lux design system, encompassing components, tokens, and patterns, ensuring consistency and efficiency across all product interfaces.

• Champion AI-native design workflows, integrating AI agents as first-class consumers and producers within the design system ecosystem.

• Own the end-to-end lifecycle of design system assets, from initial Figma design through to production implementation and ongoing usage analysis.

• Implement robust governance, documentation, and adoption strategies to scale the design system's impact across thousands of designers, developers, and AI agents.

• Utilize telemetry and usage data to inform system improvements, identify areas for deprecation, and prioritize future development efforts.

📝 Enhancement Note: This role is positioned within a "Design Infrastructure" team, indicating a focus on foundational design operations and tooling that supports broader product development. The emphasis on AI agents as system consumers and producers suggests a forward-thinking design operations approach, integrating emerging technologies to enhance efficiency and consistency.

📈 Primary Responsibilities

• Design, develop, and maintain scalable components, design tokens (color, typography, spacing, radius, motion), and reusable patterns within the Figma library, ensuring adherence to established architectural principles and the "density-with-dignity" rhythm for enterprise UIs.

• Partner closely with engineering teams to ensure seamless handoff of design intent and maintain the integrity of component libraries, bridging the gap between design and code implementation.

• Create and curate comprehensive documentation for the design system in Zeroheight, covering component usage, pattern guidelines, accessibility standards, and contribution protocols to maximize discoverability and adoption.

• Develop and refine AI-native design workflows that facilitate the seamless transfer of components and patterns between Figma, code, and AI generation tools, validating system compliance throughout the process.

• Establish and manage a scalable governance framework for the design system, including contribution models, review processes, versioning strategies, and deprecation procedures to ensure system integrity and evolution.

• Support and enable product teams through proactive designer unblocking, collaborative partnerships with Product Managers (PMs), and developer enablement to foster confident and compliant system adoption.

• Analyze telemetry and component usage data to identify system bottlenecks, measure adoption rates, inform future development priorities, and guide deprecation efforts for outdated or underutilized assets.

• Contribute to prompt and pattern libraries designed to ensure AI-assisted design outputs are system-compliant by default, driving consistency in AI-generated interfaces.

📝 Enhancement Note: The responsibilities highlight a dual focus on traditional design system craftsmanship (Figma, tokens, documentation) and forward-looking AI integration. The emphasis on "governance" and "telemetry" points to a mature operations approach, moving beyond just providing assets to actively managing their usage and impact.

🎓 Skills & Qualifications

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

Experience:

• 3-5 years of dedicated product design experience.

• A minimum of 2 years of specialized experience in building, maintaining, or evolving design systems.

Required Skills:

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

• Strong UI craft and a demonstrable portfolio showcasing scalable component and pattern design, with a focus on enterprise applications.

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

• Active fluency and practical application of AI tools within a design workflow, including component exploration, documentation generation, pattern validation, and rapid prototyping.

• Ability to articulate strong opinions on the effective use of AI in design system work versus its potential for inconsistent output.

• Experience in establishing and managing design system governance, including contribution models and review processes.

Preferred Skills:

• Experience leading or significantly contributing to design system migrations between different technical foundations or platforms.

• Hands-on experience with AI coding assistants like Cursor, Claude Code, or GitHub Copilot for component building or pattern validation in code.

• Understanding of how AI agents consume design systems and a point of view on its implications for system architecture and evolution.

• Experience in testing, measuring, and iterating on design system adoption based on empirical data.

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

📝 Enhancement Note: The "floor" for this role is strong systems craft and Figma depth. The "set apart" criteria heavily emphasize AI integration and the strategic thinking required to manage a design system that serves both human designers and AI agents, positioning this as a role at the cutting edge of design operations.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase at least two significant design system projects, detailing your specific contributions, design decisions, and the impact of your work.

• Include case studies demonstrating your experience with Figma's advanced features (components, variants, auto-layout, libraries) used in a scalable design system context.

• Highlight your understanding and application of design tokens, providing examples of how they were implemented and managed across different design elements.

• Present examples of your work with AI-native design workflows, illustrating how you've leveraged AI tools for efficiency, consistency, or novel design approaches within a system.

Process Documentation:

• Provide evidence of your process for designing, developing, and maintaining design system components, from initial concept to production deployment.

• Detail your approach to establishing and managing design system governance, including contribution guidelines, review workflows, and versioning strategies.

• Illustrate how you utilize telemetry and usage data to drive design system iteration, improvement, and deprecation decisions.

• Showcase your methods for supporting adoption and enabling cross-functional teams (designers, developers, PMs) in their use of the design system.

📝 Enhancement Note: The portfolio requirements are heavily weighted towards demonstrating practical experience with design systems, Figma, and the emerging domain of AI in design. Candidates should be prepared to articulate their process for managing complex systems and their strategic thinking around AI integration and governance.

💵 Compensation & Benefits

Salary Range:

Based on industry benchmarks for a Product Designer with 2-5 years of experience, specifically focusing on Design Systems in a major tech hub like Hyderabad or Bengaluru, India, the estimated annual salary range would be ₹12,00,000 to ₹25,00,000.

• Methodology: This estimate is derived from analyzing salary data for similar roles in India, considering factors such as experience level (2-5 years), specialization (Design Systems), industry (Enterprise Software), and location (major tech cities like Hyderabad and Bengaluru). Data from reputable job boards, compensation aggregators, and industry reports were consulted. The range accounts for variations in specific skill sets, the depth of AI experience, and the candidate's negotiation capabilities.

Benefits:

• Health and Wellness: Comprehensive health and wellness benefits designed to support your 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 everyone, along with our Mentoring Program to boost your personal development.

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

• Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.

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

• Global Mobility: Comprehensive support for international relocations and permanent residency processes (if applicable for future roles or transfers).

Working Hours: Standard full-time working hours are typically 40 hours per week, with potential for flexibility depending on project needs and team collaboration schedules. The company emphasizes work-life balance.

📝 Enhancement Note: The salary range is an estimation for the Indian market, reflecting typical compensation for a specialized role like Product Designer, Design Systems, in major tech hubs. The benefits package is directly sourced from the provided company information, highlighting a strong focus on employee development and well-being.

🎯 Team & Company Context

🏢 Company Culture

Industry: Enterprise Software, Business Management Solutions (ERP). Epicor provides industry-specific software solutions for manufacturing, distribution, retail, and service industries.

Company Size: Approximately 5,000 employees globally. This size indicates a well-established organization with structured processes, but potentially with opportunities for individual impact within specialized teams like Design Infrastructure.

Founded: The company has a long history, founded in 1972. This suggests stability, deep industry knowledge, and a mature approach to product development and business operations.

Team Structure:

• The role is part of the "Design Infrastructure" team, which is a specialized unit focused on providing foundational design resources and systems.

• This team likely works closely with core Product Design, Engineering, and potentially AI/ML teams.

• The reporting structure is not explicitly detailed, but roles within such infrastructure teams often report to a Design Lead, Director of Design, or Head of Design Systems.

Methodology:

• Data Analysis & Insights: The team leverages telemetry and component usage data to drive design system decisions, indicating a data-driven approach to product development and system evolution.

• Workflow Planning & Optimization: A core function involves optimizing workflows, particularly AI-native design processes, to ensure efficiency and consistency.

• Automation & Efficiency: The focus on AI integration and design systems inherently points to a strong emphasis on automation and efficiency practices to scale design output.

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

📝 Enhancement Note: Epicor's focus on enterprise software and its long history suggest a company that values stability, deep domain expertise, and robust, scalable solutions. The "Design Infrastructure" team's role is critical in enabling this, acting as a force multiplier for design and development efficiency, especially with the integration of AI.

📈 Career & Growth Analysis

Operations Career Level: This role is at an intermediate to senior individual contributor level within the design operations and product design spectrum. It requires specialized expertise in design systems and a forward-looking understanding of AI's impact on design processes. The scope involves owning significant parts of a critical system used by thousands, demanding a high degree of autonomy and strategic thinking.

Reporting Structure: The Product Designer, Design Systems will likely report to a Design Systems Lead, a Design Manager, or potentially the Director of Design, depending on the specific team structure within Epicor's Design Infrastructure group. This position offers a direct line of influence on how design and development are executed across the company.

Operations Impact: The role has a direct and substantial impact on Epicor's ability to deliver consistent, high-quality user experiences across its product portfolio. By providing a robust and scalable design system, this role enables faster product development cycles, improves UI/UX consistency, reduces redundant design and development work, and ensures brand integrity. The AI integration aspect means the role also influences the future of how interfaces are created and consumed within Epicor's ecosystem, impacting developer productivity and AI agent output quality.

Growth Opportunities:

• Operations Skill Advancement: Deepen expertise in design systems, AI-driven design tools, and design governance models. Potential to become a subject matter expert or lead in these areas.

• Leadership Potential: Progress into a Design Systems Lead role, managing a small team or a specific area of the design system, and influencing strategic design direction.

• Cross-Functional Leadership: Develop stronger partnerships with Engineering and Product Management, potentially leading initiatives that bridge design, development, and AI strategy.

• Specialization: Further specialize in areas like accessibility within design systems, AI for UI generation, or advanced design token architecture.

📝 Enhancement Note: This role offers a unique opportunity to be at the forefront of design systems evolution, particularly integrating AI. Growth is likely to come from deepening specialized knowledge, taking on more ownership of strategic initiatives, and potentially moving into leadership positions within design operations or product design.

🌐 Work Environment

Office Type: The job is listed as "TELECOMMUTE" with locations in Hyderabad and Bengaluru, India, implying a hybrid or potentially remote-first arrangement within India. However, typical enterprise roles in this domain often lean towards hybrid models for collaboration.

Office Location(s):

• Hyderabad, Telangana, India

• Bengaluru, Karnataka, India

These are major technology hubs in India, offering access to a strong talent pool and vibrant tech communities.

Workspace Context:

• Collaborative Environment: Expect a collaborative workspace, whether in-office or virtual, with regular interaction with designers, engineers, and product managers. The emphasis on "partners" and "team" suggests a culture that values teamwork.

• Operations Tools & Technology: Access to industry-standard design tools (Figma), documentation platforms (Zeroheight), and potentially AI-powered design and coding tools. The company likely provides necessary software licenses and hardware.

• Team Interaction: Opportunities to engage with a diverse, global team, fostering an inclusive environment for innovation and idea exchange. The role's success hinges on effective communication and collaboration across different functions and regions.

Work Schedule: While standard full-time hours (40 hours/week) are expected, the company mentions "Work-Life Balance" and policies built on "mutual trust and support." This suggests a degree of flexibility, allowing for adjustments to accommodate project deadlines while encouraging time off for rest and recharge.

📝 Enhancement Note: The hybrid nature of the role suggests a balance between focused individual work and collaborative team sessions. The presence of offices in major Indian tech hubs indicates a commitment to established operational infrastructure and talent acquisition.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and portfolio for alignment with the core requirements, particularly design system experience and AI fluency.

• Portfolio Presentation & Technical Interview: You will likely present your design system portfolio, discussing your contributions, process, and strategic thinking, especially regarding AI integration. This may be followed by technical questions about Figma, design tokens, and system architecture.

• Cross-Functional Collaboration Interview: Interviews with Product Managers and Engineers to assess your ability to collaborate, communicate effectively, and understand their perspectives and needs.

• Design Leadership/Manager Interview: A deeper dive into your strategic thinking, leadership potential, problem-solving skills, and cultural fit with Epicor's values.

• Final Round: May involve a final interview with a senior leader or a take-home design challenge focused on design system principles or AI-assisted design scenarios.

Portfolio Review Tips:

• Highlight AI Integration: Clearly showcase how you've incorporated AI tools into your design system workflows. Detail the benefits and challenges, and your approach to managing AI-generated output for quality and consistency.

• Focus on Process & Impact: For each project, articulate your specific role, the problem you solved, your design process (including governance and documentation), and quantifiable results or impact on adoption and efficiency.

• Demonstrate Figma Mastery: Provide examples of complex component builds, effective use of variants, auto-layout, and design tokens within Figma.

• Showcase Enterprise UI Experience: If applicable, include examples of complex enterprise interfaces, demonstrating your understanding of usability for dense data, long workflows, and role-based access.

• Structure for Clarity: Organize your portfolio logically, perhaps by project or by skill area, with clear headings and concise explanations. Be prepared to walk through it verbally.

Challenge Preparation:

• Design System Problem: Expect a challenge that requires you to design a new component, pattern, or a set of tokens, or to propose a solution for a common design system problem (e.g., contribution process, deprecation strategy).

• AI Integration Scenario: A challenge might involve how to integrate an AI tool into an existing design system workflow or how to ensure AI-generated UI adheres to system standards.

• Governance & Documentation: You may be asked to outline a governance model or create documentation for a hypothetical component.

• Presentation Skills: Practice articulating your thought process, design rationale, and the impact of your solutions clearly and concisely. Focus on how your proposed solution aligns with efficiency, scalability, and consistency goals.

📝 Enhancement Note: The emphasis on AI in the "What Could Set You Apart" section strongly suggests that interviewers will probe deeply into candidates' AI fluency and strategic thinking regarding AI's role in design systems. Candidates should prepare to discuss their experiences and opinions on this topic extensively.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core tool for design system creation, component management, variants, auto-layout, and library organization. Proficiency is critical.

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

• Design Tokens: Deep understanding and practical application of design token architecture (e.g., using tools like Specify, Tokens Studio for Figma, or custom workflows) for cross-platform consistency.

Analytics & Reporting:

• Telemetry Tools: Experience with tools that track component usage, adoption rates, and system health. This could include custom internal dashboards or integration with broader analytics platforms.

• Data Analysis: Proficiency in analyzing usage data to inform design system development and identify areas for improvement.

CRM & Automation:

• AI Design Tools: Active use and strong opinions on AI tools for design exploration, component generation, pattern validation, and prototyping (e.g., Cursor, Claude Code, GitHub Copilot, or similar).

• Collaboration Platforms: Tools like Slack, Microsoft Teams for communication and collaboration.

• Project Management Tools: Jira, Asana, or similar for tracking tasks, sprints, and design system backlog.

• Version Control (Conceptual): Understanding of versioning principles for design systems, even if managed within Figma libraries or through specific documentation platforms.

📝 Enhancement Note: The technology stack clearly emphasizes Figma and Zeroheight as foundational. The significant mention of AI tools indicates that practical experience and a thoughtful perspective on integrating AI into design workflows are highly valued and likely to be assessed during the interview process.

👥 Team Culture & Values

Operations Values:

• Proactive: Taking initiative to identify and solve design system challenges before they impact product teams or AI generation.

• Proud: Taking ownership and pride in building a high-quality, scalable, and impactful design system that serves thousands of users.

• Partners: Collaborating closely with engineering, product management, and other design teams to ensure the design system is well-adopted and meets diverse needs.

• Data-Driven: Utilizing telemetry and usage data to make informed decisions about design system development, prioritization, and iteration.

• Efficiency-Focused: Constantly seeking ways to optimize workflows, automate processes, and improve the productivity of design and development teams through the design system.

• Quality-Oriented: Maintaining a high bar for design craft, accessibility, and system integrity, especially in the context of AI-generated output.

Collaboration Style:

• Cross-Functional Integration: A strong emphasis on working seamlessly with engineering and product management, ensuring design intent is translated effectively into code and AI outputs.

• Process Review Culture: Encouraging feedback loops and iterative improvements on design system processes, documentation, and contribution models.

• Knowledge Sharing: Actively sharing best practices, learnings, and system updates across teams to foster widespread understanding and adoption. Collaboration is key to ensuring the design system acts as a unifying protocol rather than a set of isolated components.

📝 Enhancement Note: The company's stated values ("Proactive, Proud, Partners") align well with the demands of a design systems role, which requires initiative, ownership, and strong collaboration. The emphasis on AI integration suggests a culture that embraces innovation and forward-thinking approaches.

⚡ Challenges & Growth Opportunities

Challenges:

• Scaling Governance with AI: Developing and maintaining governance models that effectively manage contributions and quality as AI agents become major consumers and producers within the system.

• Balancing Human vs. AI Needs: Designing components and patterns that serve both human designers and AI agents seamlessly, potentially requiring different considerations for each.

• Adoption & Unblocking: Ensuring widespread adoption across diverse product teams and unblocking designers and developers who may have varying levels of familiarity or experience with the design system and AI tools.

• Data Interpretation: Effectively collecting, analyzing, and acting upon telemetry and usage data to drive meaningful improvements and deprecate assets strategically.

• AI Evolving Landscape: Keeping pace with the rapid advancements in AI design tools and understanding how they impact design system strategy and implementation.

Learning & Development Opportunities:

• AI Design Specialization: Gain deep expertise in AI-native design workflows, prompt engineering for UI generation, and validating AI outputs against system standards.

• Advanced Design Systems: Explore cutting-edge design system methodologies, such as design system as a protocol, and advanced token architectures.

• Cross-Functional Acumen: Develop a stronger understanding of software development lifecycles, enterprise ERP systems, and AI/ML principles.

• Mentorship & Leadership: Benefit from Epicor's mentorship programs and potential to grow into leadership roles, guiding the future of Epicor's design infrastructure.

• Industry Engagement: Opportunities to engage with industry conferences and communities focused on design systems and AI in design.

📝 Enhancement Note: The challenges and growth opportunities are heavily influenced by the integration of AI into design systems. This role offers a chance to tackle novel problems at the intersection of design, development, and artificial intelligence, providing significant learning and career advancement potential.

💡 Interview Preparation

Strategy Questions:

• "Describe your approach to building a design system from scratch or significantly evolving an existing one. What are the key phases, considerations, and potential pitfalls?" (Focus on process, governance, and scalability.)

• "How would you design a component or pattern to be AI-native, considering its use by both human designers and AI agents? What specific considerations would you make for tokens, variants, and documentation?" (Demonstrate understanding of AI consumption and AI-assisted creation.)

Company & Culture Questions:

• "Based on our company description and the role, what do you see as the biggest opportunities and challenges for the Lux design system?" (Show research and strategic thinking about Epicor's context.)

• "How do you see your role contributing to Epicor's values of 'Proactive, Proud, Partners'?" (Align your work ethic and collaboration style with company values.)

Portfolio Presentation Strategy:

• Narrative Arc: Structure your portfolio presentation with a clear beginning (problem), middle (process, solution), and end (impact, learnings).

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your design system work (e.g., adoption rates, time saved, reduction in bugs, consistency improvements).

• Showcase AI Integration: Dedicate specific slides or sections to illustrate your AI-native design workflows. Clearly explain the tools used, the process, and the benefits achieved.

• Articulate Strategic Thinking: Go beyond "what" you did to explain "why" you made certain decisions, especially concerning governance, scalability, and AI integration.

• Prepare for Deep Dives: Be ready to answer detailed questions about your Figma techniques, token architecture, documentation strategy, and your opinions on the future of design systems with AI.

📝 Enhancement Note: Candidates should prepare to discuss their experience with AI in design systems extensively. This is a key differentiator for this role, and interviewers will likely probe deeply into practical application, strategic thinking, and opinions on the subject.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Workday link: https://epicorsoftware.wd5.myworkdayjobs.com/epicorjobs/job/India-Hyderabad/Product-Designer--Design-Systems_JR104528

• Customize Your Resume: Tailor your resume to highlight keywords and responsibilities mentioned in this job description, specifically emphasizing "Design Systems," "Figma," "AI-Native Design Workflows," "Design Tokens," "Zeroheight," and "Enterprise UI." Quantify your achievements wherever possible.

• Curate Your Portfolio: Ensure your portfolio prominently features your design system work, with clear case studies detailing your process, contributions, and impact. Specifically, showcase examples of AI integration and your experience with Figma's advanced features.

• Prepare Your Presentation: Practice walking through your portfolio, focusing on articulating your design process, strategic decisions, and the measurable outcomes of your work, especially related to AI and design system scalability.

• Research Epicor: Understand Epicor's business, its industry focus (ERP for manufacturing, distribution, etc.), and its company values. Consider how a robust design system and AI integration support these 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.