Product Designer
Uses AI in daily design work and explicitly mentions vibe coding/agent-assisted tools (Cursor, Claude, Copilot) for rapid prototyping and agentic workflows.
About the Role
Product Designer at Epicor responsible for designing end-to-end workflows and enterprise interfaces, partnering with product and engineering to deliver usable, system-driven designs. The role emphasizes strong Figma skills, design-system discipline, user-centered research, and regular use of AI tools to accelerate ideation and prototyping.
Job Description
Role
Design end-to-end workflows for enterprise software, including task flows, data tables, forms, dashboards, configuration screens, and role-based interfaces. Partner with Product Management and Engineering to translate requirements and constraints into clear, usable designs.
Key Responsibilities
- Create wireframes, interaction flows, and high-fidelity designs in Figma using shared design system components, tokens, and patterns.
- Participate in user research, usability testing, and design reviews to validate decisions and improve shipped work.
- Apply and extend the design system consistently; document design decisions, interaction specs, and edge cases for engineering handoff.
- Contribute to design critiques and team rituals to raise design quality across the group.
- Use AI tools in daily design work for ideation, research synthesis, and prototyping while exercising judgment about when AI outputs are appropriate.
Requirements
- 3–5 years of product design experience with shipped work in enterprise software, B2B SaaS, or complex workflow-driven applications.
- Strong interaction design skills (thinking in flows and states).
- Proficiency in Figma: component usage, auto-layout, prototyping.
- Experience working within a design system: applying tokens and shared components, knowing when to extend vs. reuse.
- Foundation in user-centered design and usability thinking.
- Strong visual sensibility and attention to detail.
- Clear communication with cross-functional partners.
- AI fluency in design workflows (using AI tools as a regular part of the process).
Nice to have
- Hands-on experience with vibe coding or agent-assisted development (tools like Cursor, Claude, Copilot) to go from design to prototype without a traditional handoff.
- Early understanding of agentic workflows, MCP, and how AI agents connect to tools and data.
- Familiarity with enterprise domains such as manufacturing, distribution, supply chain, or logistics.
- Pragmatic, experiment-driven mindset.
Benefits (high level)
- Competitive pay and comprehensive health and wellness benefits.
- Internal mobility, mentorship, and career development programs (including LinkedIn Learning).
- Education support and geographically specific programs.
- Inclusive workplace and global mobility support for relocations and permanent residency.
- Work-life balance policies encouraging time off.