Senior Product Designer | Data & AI

📍 Job Overview

Job Title: Senior Product Designer | Data & AI

Company: Epicor Software Corporation

Location: Herndon, Virginia, United States (Hybrid)

Job Type: Full time

Category: Product Design / UX/UI

Date Posted: August 27, 2026

Experience Level: Mid-Senior Level (5-8 years)

Remote Status: Hybrid

🚀 Role Summary

• Lead end-to-end design for significant features and product initiatives within the Data & AI product area, from initial problem definition to high-fidelity execution and post-launch iteration.

• Elevate design quality for the product area by setting rigorous standards, conducting design critiques, and championing exceptional craft and usability.

• Design complex, data-dense user experiences including tables, multi-step workflows, dashboards, role-based interfaces, and configuration-heavy applications.

• Serve as an equal collaborator with Product Management and Engineering, actively participating in prioritization, scoping, and trade-off discussions.

• Mentor and develop other designers through constructive feedback, collaborative pairing, and leading by example in problem framing and design presentations.

📝 Enhancement Note: While the role is titled "Senior Product Designer," the emphasis on leading initiatives, mentoring, and setting standards suggests a scope that bridges senior individual contribution and potential team lead responsibilities, particularly within the Data & AI domain. The explicit mention of "AI fluency" and "cognitive ERP" indicates a strategic focus on integrating advanced technologies into the product design process.

📈 Primary Responsibilities

• Drive the complete design lifecycle for major features and product enhancements, encompassing problem identification, user research synthesis, interaction design, detailed UI execution, and iterative refinement post-launch.

• Establish and maintain high standards for design craft, usability, and aesthetic quality within the assigned product domain through active participation in design reviews and critiques.

• Develop intuitive and efficient user interfaces for complex operational scenarios, including but not limited to, data visualization dashboards, intricate multi-stage business workflows, and highly configurable system settings.

• Foster strong partnerships with Product Management and Engineering teams, acting as a proactive and informed voice in strategic planning, feature prioritization, and technical feasibility assessments.

• Provide guidance and support to junior and peer designers, offering mentorship, constructive feedback, and sharing best practices in problem-solving and effective design communication.

• Collaborate with Design Systems teams to ensure consistent adoption of shared patterns, contribute to component development, and maintain a cohesive user experience across the entire product portfolio.

• Translate insights from user research, customer feedback, and market analysis into actionable design strategies and concrete design decisions that address core user needs.

• Articulate design rationale and defend strategic decisions persuasively to a diverse group of cross-functional stakeholders, including executive leadership, adapting approaches based on feedback and business objectives.

📝 Enhancement Note: The responsibilities emphasize a blend of strategic thinking (problem definition, translating research) and tactical execution (high-fidelity design, system contribution). The focus on "operational complexity" and "data-dense tables, multi-step workflows, dashboards, role-based experiences, and configuration-heavy interfaces" is a critical differentiator for candidates, signaling a need for experience with B2B/enterprise software design challenges.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's or Master's degree in Design, Human-Computer Interaction (HCI), Computer Science, or a related field is typically expected for senior-level roles in this domain. Equivalent practical experience will be considered.

Experience: 5–8 years of professional product design experience, with a proven track record of shipping enterprise or B2B SaaS products.

Required Skills:

• Portfolio: A strong portfolio showcasing shipped enterprise or B2B SaaS work, demonstrating exceptional design craft, strategic thinking, and problem-solving capabilities.

• Interaction Design: Mastery-level skills in designing complex, multi-role workflows, systems, and managing diverse application states.

• Data-Driven Design: Proven experience designing dashboards, analytics, business intelligence, or other data-intensive user experiences.

• Problem Definition: Demonstrated ability to lead problem definition and shape innovative solutions beyond merely executing predefined requirements.

• Figma Proficiency: Strong command of Figma, including advanced features like libraries, components, auto-layout, design tokens, and sophisticated prototyping.

• Design Systems: Experience working within and contributing to established design systems, with sound judgment on pattern extension versus adaptation.

• AI Fluency: Active and thoughtful application of AI tools within the design practice for ideation, research synthesis, prototyping, and iteration, while maintaining high quality standards.

• Mentorship: A track record of developing and elevating peers through mentorship, constructive critique, and setting high quality standards.

• Communication: Clear, confident, and persuasive communication skills, with the ability to effectively present and defend design decisions to product and engineering leadership.

Preferred Skills:

• Experience designing for manufacturing, distribution, supply chain, or retail operations.

• Hands-on experience with agent-assisted or AI-powered development tools for rapid prototyping.

• Understanding of how AI agents, workflows, and context-aware systems influence product experience design.

• A pragmatic, iterative mindset that prioritizes learning through rapid shipping and testing of ideas.

• Curiosity and a well-articulated point of view on the impact of AI on design craft, aesthetics, and discipline.

📝 Enhancement Note: The emphasis on "AI fluency within your design practice" is a significant requirement, indicating that candidates are expected to not only understand AI concepts but also actively integrate AI tools into their workflow. The preferred skills highlight a specific desire for domain expertise in operational industries and a forward-thinking approach to AI's role in design.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end design process for at least two complex B2B SaaS or enterprise software projects.

• Clearly articulate the problem statement, user research methodologies, and key insights that informed design decisions.

• Detail the iterative design process, including wireframing, prototyping, usability testing, and design critiques.

• Demonstrate mastery of interaction design for complex workflows, data visualization, and configuration-heavy interfaces.

• Highlight contributions to or use of design systems, with examples of component design or pattern adaptation.

• Include specific examples of how AI tools were leveraged to enhance the design process (ideation, synthesis, prototyping, etc.).

• Quantify impact where possible, using metrics related to user adoption, efficiency gains, or conversion improvements. Process Documentation:

• For each case study, clearly outline the problem framing phase, including how requirements were defined and validated.

• Detail the workflow design and optimization strategies employed to create intuitive user journeys.

• Explain the methods for implementing and automating design solutions, particularly for complex operational tasks.

• Describe how design performance was measured post-launch, linking back to initial objectives and user feedback.

📝 Enhancement Note: The portfolio requirements are highly specific, demanding evidence of end-to-end process, quantitative impact, and direct application of AI tools. This signals that a static portfolio of final screens will not suffice; a deep dive into the 'how' and 'why' of the design process, especially concerning complex enterprise scenarios and AI integration, is crucial.

💵 Compensation & Benefits

Salary Range: $105,000 - $178,000 USD per year.

Explanation: This range reflects the national average for a Senior Product Designer role in the US, considering the specified experience level (5-8 years) and the specialized nature of the Data & AI focus within enterprise software. Actual compensation will be determined by factors such as candidate experience, specific skill alignment, interview performance, and localized market data for the chosen work location (Herndon, VA, with flexibility for Minneapolis, MN, and Austin, TX).

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, indicating a strong internal growth culture.

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

• Inclusive Workplace: Collaboration within a diverse, global team in an inclusive environment that fosters innovation and partnership.

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

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

Working Hours: 40 hours per week. The hybrid work arrangement suggests flexibility within standard business hours, allowing for effective collaboration with teams across different time zones and accommodating personal needs.

📝 Enhancement Note: The salary range provided is a national average and may not reflect precise local market compensation for Herndon, VA. Candidates should research specific cost of living and compensation benchmarks for the designated work locations. The benefits package highlights a strong emphasis on professional development and work-life balance, which are attractive to senior-level operations and design professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Enterprise Software, specifically focusing on ERP (Enterprise Resource Planning) solutions, with a growing emphasis on Data & AI capabilities. Epicor serves essential businesses in manufacturing, distribution, retail, and services sectors.

Company Size: Approximately 5,000 talented professionals globally. This mid-to-large size suggests a structured environment with opportunities for impact, but also a need for clear processes and cross-functional alignment.

Founded: The company's founding date is not explicitly provided but is implied to be established, with a history of growth and evolution, particularly in integrating modern technologies like AI.

Team Structure:

• The Senior Product Designer will likely be part of a dedicated product design team, possibly within the Data & AI vertical or a broader UX/Product Design department.

• Reporting structure likely involves a Design Manager or Director, with close collaboration across Product Management and Engineering teams for specific product areas.

• Cross-functional collaboration is a cornerstone, requiring seamless interaction with Product Managers, Engineers, Data Scientists, and potentially Marketing and Customer Success teams. Methodology:

• Data-Driven Design: Emphasis on using data, research, and customer feedback to inform design decisions, aligning with "cognitive ERP" and AI integration.

• Agile & Iterative Development: The culture supports a pragmatic, iterative mindset focused on learning through shipping and testing ideas quickly.

• Collaborative Problem Solving: A strong partnership model with Product and Engineering is expected, treating design as an equal voice in strategic discussions.

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

📝 Enhancement Note: Epicor's focus on "essential businesses" and "cognitive ERP" positions the company at the intersection of traditional enterprise software and modern AI solutions. This context is crucial for a Senior Product Designer, implying a need to design for operational efficiency, data-driven decision-making, and the transformative potential of AI within business processes. The company culture values partnership, continuous learning, and impact.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at the Senior Product Designer level, indicating a high degree of autonomy, responsibility for significant design initiatives, and the expectation of mentoring junior team members. It represents a critical individual contributor role with potential pathways towards Principal Designer or Design Lead positions.

Reporting Structure: The Senior Product Designer will report to a Design Manager or Director, working collaboratively with Product Managers and Engineering Leads on specific product roadmaps. The emphasis on "equal voice" suggests a flat, collaborative hierarchy within project teams.

Operations Impact: The role directly influences the usability, efficiency, and adoption of Epicor's Data & AI products, which are foundational to their "cognitive ERP" vision. The designer's work will impact how thousands of businesses leverage data and AI to improve operations, make better decisions, and stay future-ready.

Growth Opportunities:

• Specialization: Deepen expertise in Data & AI design, complex B2B SaaS workflows, and the application of AI in enterprise software.

• Leadership Development: Opportunities to mentor junior designers, lead design critiques, and potentially take on team lead responsibilities for specific product areas.

• Skill Advancement: Continuous learning through free LinkedIn Learning licenses, mentorship programs, and exposure to cutting-edge AI technologies and design practices.

• Career Progression: Clear pathways exist from Senior Designer to Principal Designer and potentially into management or specialized leadership roles within the growing Data & AI domain.

📝 Enhancement Note: The "clear career pathways from Senior through Principal and beyond" is a significant indicator of the company's investment in employee growth. For a Senior Product Designer, this means opportunities to deepen technical expertise in AI design, refine leadership and mentorship skills, and contribute strategically to the company's evolving product vision.

🌐 Work Environment

Office Type: Hybrid work environment, with the primary listed location in Herndon, VA, and flexibility for Minneapolis, MN, and Austin, TX. This suggests a balance between in-office collaboration and remote work flexibility.

Office Location(s): Herndon, Virginia; Minneapolis, Minnesota; Austin, Texas. These locations offer access to tech hubs and a significant employee base.

Workspace Context:

• Collaborative Environment: The hybrid model encourages intentional in-office time for team meetings, brainstorming sessions, and design critiques, fostering strong cross-functional relationships.

• Operations Tools & Technology: Access to industry-standard design tools like Figma, prototyping software, and potentially AI-powered design assistants. The company's focus on "cognitive ERP" implies a robust technology infrastructure.

• Team Interaction: Opportunities for direct interaction with Product Managers, Engineers, and fellow designers, facilitating a shared understanding of product goals and design challenges.

Work Schedule: A standard 40-hour work week is expected, with the hybrid arrangement providing flexibility in managing personal time and work commitments. This allows for dedicated focus time for deep design work, balanced with collaborative sessions.

📝 Enhancement Note: The hybrid nature of the role necessitates strong self-discipline and proactive communication. Candidates should be comfortable managing their time effectively, utilizing collaboration tools, and making the most of in-office days for high-impact interactions. The specific office locations provide geographic options for candidates.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio by a recruiter or hiring manager to assess basic qualifications and fit.

• Portfolio Presentation & Design Exercise: A session where candidates present their portfolio, focusing on specific case studies demonstrating their process, problem-solving skills, and impact. This may be followed by a design challenge (e.g., a take-home assignment or live whiteboarding exercise) focused on a relevant problem.

• Cross-functional Interviews: Interviews with Product Management and Engineering partners to assess collaboration style, technical understanding, and ability to work effectively in a team.

• Leadership/Mentorship Discussion: A conversation focusing on leadership potential, mentorship experience, and ability to set design quality standards.

• Final Round: Potentially an interview with senior leadership to discuss strategic thinking and overall fit with Epicor's vision.

Portfolio Review Tips:

• Focus on Process: Clearly articulate your thought process, from problem definition to final solution, emphasizing iterative steps and decision-making.

• Quantify Impact: Use metrics and data to demonstrate the success of your designs, highlighting improvements in user adoption, efficiency, or business outcomes.

• Showcase AI Integration: Detail how you used AI tools in your workflow, explaining the benefits and any challenges encountered.

• Highlight Complexity: Select case studies that demonstrate your ability to handle complex B2B SaaS challenges, data-dense interfaces, and multi-role workflows.

• Tailor to Epicor: Understand Epicor's business and target industries (manufacturing, distribution, etc.) and tailor your examples to show relevance.

Challenge Preparation:

• Understand the Domain: Research Epicor's products, target industries, and common operational challenges.

• Practice Problem Framing: Be prepared to tackle ambiguous problems, ask clarifying questions, and define the scope of a challenge.

• Demonstrate AI Application: If the challenge involves AI, consider how you would leverage AI tools for ideation, research, or rapid prototyping.

• Communicate Clearly: Practice articulating your design decisions and rationale concisely, both verbally and visually.

📝 Enhancement Note: The emphasis on AI integration in both portfolio review and potential challenges is critical. Candidates should be prepared to discuss their specific workflows with AI tools and their strategic thinking around AI's role in product design. A strong understanding of B2B SaaS and operational contexts will be a significant advantage.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, prototyping, component management, auto-layout, and design tokens. Proficiency is a core requirement.

• Prototyping Tools: Advanced prototyping capabilities within Figma or other dedicated tools (e.g., ProtoPie, Axure) for complex interactions.

• AI Design Tools: Tools for ideation (e.g., Midjourney, Stable Diffusion for concept art), research synthesis, content generation, and potentially AI-assisted workflow creation.

Analytics & Reporting:

• Analytics Platforms: Experience with tools like Google Analytics, Mixpanel, Amplitude, or similar platforms to understand user behavior and product performance.

• Data Visualization Tools: Familiarity with tools or libraries used for creating dashboards and data-rich interfaces (e.g., Tableau, Power BI concepts, D3.js principles).

• BI Tools: Understanding of business intelligence concepts and how user interfaces support data analysis.

CRM & Automation:

• CRM Systems: Familiarity with CRM platforms (e.g., Salesforce, Microsoft Dynamics) is beneficial for understanding B2B customer lifecycles and data flow.

• Workflow Automation Concepts: Understanding of how workflows are designed and automated within enterprise software, especially for operational tasks.

• Design System Management Tools: Platforms or methodologies for managing design system libraries and ensuring consistency.

📝 Enhancement Note: The inclusion of "AI fluency" and "AI tools" in the required skills strongly suggests that familiarity with generative AI for design, AI-assisted research, and AI-driven prototyping will be highly valued. Candidates should be prepared to discuss their experience with specific AI tools relevant to the design process.

👥 Team Culture & Values

Operations Values:

• Craftsmanship: A deep commitment to high-quality design, attention to detail, and aesthetic excellence in user interfaces and experiences.

• Collaboration: A strong belief in partnership with Product Management and Engineering, fostering a shared sense of ownership and mutual respect.

• Data-Driven Decisions: Valuing evidence-based design, using user research, analytics, and customer feedback to inform strategic choices.

• Efficiency & Optimization: A drive to create intuitive, streamlined user experiences that improve operational efficiency for businesses.

• Innovation & Future-Readiness: Embracing new technologies, particularly AI, and exploring how they can transform business processes and user experiences.

Collaboration Style:

• Cross-functional Integration: Seamlessly working with diverse teams, understanding their perspectives, and contributing to shared product goals.

• Process Feedback Culture: Actively participating in design critiques, providing constructive feedback, and being receptive to feedback on one's own work.

• Knowledge Sharing: A proactive approach to sharing learnings, best practices, and insights across the design team and with partner teams.

📝 Enhancement Note: The values emphasize a blend of traditional design excellence with a forward-looking embrace of technology and data. The "Proactive, Proud, Partners" slogan highlights the desired collaborative and impactful approach expected from employees.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Operational Complexity: Translating intricate business processes, large datasets, and multi-role user needs into intuitive and efficient interfaces.

• Integrating AI Thoughtfully: Ensuring AI features enhance user experience and deliver tangible value without introducing unnecessary complexity or bias.

• Balancing Design Systems with Innovation: Maintaining consistency through design systems while allowing for innovation and tailored solutions for complex product areas.

• Cross-Functional Alignment: Navigating differing priorities and perspectives among Product, Engineering, and other stakeholders to achieve consensus on design direction.

Learning & Development Opportunities:

• AI Design Specialization: Deep dive into AI's impact on UX/UI, exploring ethical considerations, agent-based design, and prompt engineering for design.

• Enterprise SaaS Expertise: Gaining deeper knowledge of ERP systems and the specific operational challenges faced by manufacturing, distribution, and retail businesses.

• Leadership & Mentorship: Developing skills in guiding design initiatives, mentoring junior designers, and influencing product strategy.

• Industry Conferences & Certifications: Opportunities to attend relevant design and technology conferences, and pursue certifications in areas like AI or UX research.

📝 Enhancement Note: The challenges presented are inherent to senior roles in enterprise software, particularly those at the forefront of AI integration. The growth opportunities are directly tied to addressing these challenges, offering a clear path for professional development within a specialized and in-demand field.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex B2B SaaS product you designed. What were the key operational challenges, and how did your design address them?" (Focus on problem framing, user research, and iterative design process.)

• "How do you approach designing for data-dense tables and dashboards? Walk us through an example from your portfolio." (Highlight data visualization techniques, interaction patterns for large datasets, and filtering/sorting strategies.)

• "How have you integrated AI tools into your design workflow? What was the impact, and what are your thoughts on the future of AI in product design?" (Be prepared to discuss specific tools, benefits, and your strategic perspective on AI's role.)

• "How do you balance the need for design system consistency with creating tailored experiences for specific product areas or user roles?" (Discuss your judgment on extending vs. adapting patterns and your collaboration with design system teams.) Company & Culture Questions:

• "What interests you about Epicor's mission and our focus on 'cognitive ERP' and essential businesses?" (Research Epicor's market position, products, and company values.)

• "How would you contribute to our team's culture of collaboration and mentorship?" (Emphasize your experience mentoring, giving/receiving feedback, and working cross-functionally.)

• "How do you ensure your designs are not just aesthetically pleasing but also drive tangible business value?" (Focus on metrics, ROI, and aligning design outcomes with business objectives.) Portfolio Presentation Strategy:

• Storytelling: Frame each case study as a narrative with a clear beginning (problem), middle (process & solutions), and end (impact & learnings).

• Visual Clarity: Use high-quality visuals, clear annotations, and well-structured layouts to guide the reviewer through your process.

• Interactive Elements: If possible, incorporate interactive prototypes or links to live examples to showcase dynamic aspects of your design.

• Quantify Success: For each project, clearly state the problem, your role, the solution, and any measurable outcomes or user feedback received.

• AI Integration Discussion: Be ready to pause and discuss specific instances where AI tools were used, the rationale, and the results.

📝 Enhancement Note: Candidates should prepare to discuss their experience with AI tools in detail, as this is a key differentiator for the role. Understanding Epicor's specific industry focus (manufacturing, distribution, etc.) and how AI can solve operational challenges within these sectors will be crucial for demonstrating strategic alignment.

📌 Application Steps

To apply for this Senior Product Designer | Data & AI position:

• Submit your application through the provided Workday link: https://epicorsoftware.wd5.myworkdayjobs.com/epicorjobs/job/US-Herndon/Senior-Product-Designer_JR104921

• Curate Your Portfolio: Select 2-3 of your strongest B2B SaaS or enterprise design projects that highlight complex workflows, data-driven experiences, and ideally, your use of AI tools. Ensure each case study clearly outlines the problem, your process, your role, the solution, and any quantifiable impact.

• Optimize Your Resume: Tailor your resume to emphasize your 5-8 years of experience in product design, specifically mentioning experience with enterprise/B2B SaaS, data-dense interfaces, Figma, design systems, and AI fluency. Use keywords from the job description.

• Prepare Your Presentation: Practice walking through your portfolio case studies, focusing on clear storytelling, articulating your design rationale, and highlighting your problem-solving approach. Be ready to discuss your experience with AI tools and their impact on your design process.

• Research Epicor: Understand Epicor's business, target industries (manufacturing, distribution, retail), and their vision for cognitive ERP and AI. This will help you tailor your responses and demonstrate genuine 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.