Design Systems, Product Designer

📍 Job Overview

Job Title: Design Systems, Product Designer

Company: Gusto, Inc.

Location: Denver, CO, United States; New York, New York, United States; San Francisco, CA, United States

Job Type: Full-Time

Category: Design Systems / Product Design

Date Posted: 2026-08-14T19:28:36

Experience Level: Senior Staff Equivalent (5-10 years)

Remote Status: Hybrid

🚀 Role Summary

• Spearhead the evolution and maintenance of Gusto's internal design system, Workbench, with a strong emphasis on AI-native workflows and integration.

• Drive the design and implementation of complex UI components, token architecture, and system-wide patterns, ensuring consistency and scalability across Gusto's product suite.

• Collaborate closely with engineering partners to translate design system specifications into high-quality, coded implementations, contributing directly to code repositories.

• Develop and document AI-assisted tooling and resources that enhance designer and engineer efficiency, making the design system legible and usable for LLMs.

• Champion design integrity, accessibility standards (WCAG AA), and a systems-thinking approach to empower all builders at Gusto to ship high-quality, AI-assisted work.

📝 Enhancement Note: This role is designated as equivalent to a Senior Staff level, indicating a high degree of autonomy, strategic influence, and expected technical leadership within the design systems and product design domains. The emphasis on AI-native workflows suggests a forward-thinking approach to design tooling and collaboration.

📈 Primary Responsibilities

• Design, maintain, and evolve complex components, patterns, and tokens within Workbench, Gusto's internal design system, incorporating variables, variants, and tokenized styles.

• Own and advance the semantic and functional token architecture, aligning with the ongoing Brand Refresh and future theming capabilities.

• Partner closely with the engineering team on component implementation, including design reviews, technical planning, and direct contribution to code commits (PRs).

• Develop AI tooling, structured documentation, and storybook examples to enhance the legibility and usability of the design system for Large Language Models (LLMs) and AI-assisted workflows.

• Provide direct support and guidance to product designers and engineers through office hours, Slack channels, and asynchronous design reviews.

• Document and publish design decisions, usage guidelines, and the rationale behind component development to foster understanding and adoption.

• Contribute to strategic, systemic decisions regarding component architecture, naming conventions, and migration strategies, particularly in the context of the Brand Refresh.

📝 Enhancement Note: The responsibilities highlight a deep involvement in both the strategic and tactical aspects of design systems, from foundational token architecture to direct code contribution and AI integration. The emphasis on "AI tooling" and "LLM-readable documentation" signifies a pioneering aspect of this role, aiming to embed the design system into AI-driven development processes.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating equivalent practical experience and a deep understanding of design systems principles and product design methodologies is essential.

Experience: 7+ years of experience in product design, with a minimum of 4+ years specifically focused on a product design systems team, managing the full lifecycle from design to adoption.

Required Skills:

• Design Systems Expertise: 4+ years of hands-on experience within a product design systems team, covering design, implementation, documentation, and adoption cycles.

• Token Architecture & Component API Design: Proven experience in defining and evolving semantic and functional token architecture, and designing robust component APIs.

• Product Design Craft: 7+ years of comprehensive experience in product design, with a strong portfolio showcasing high-quality UI/UX work.

• AI Fluency: Demonstrated, genuine experience using AI tools (e.g., Claude, Copilot) as an integral part of your daily workflow, with the ability to direct AI, evaluate its output, and discern where human judgment is critical.

• Technical Acumen: Ability to effectively collaborate with engineering teams, comprehend technical plans and constraints, and contribute meaningfully to implementation decisions and code repositories.

• Accessibility Standards: Solid understanding of WCAG AA guidelines and their application in shaping component and token decisions.

• Figma Proficiency: Expert-level knowledge of Figma, including advanced component construction, variable and token utilization, prototyping capabilities, and familiarity with GitHub workflows.

• Communication & Documentation: Exceptional documentation skills and the ability to educate and align peers across disciplines; proven ability to advocate for systemic consistency while maintaining a collaborative and service-oriented approach.

Preferred Skills:

• Experience with LLM-readable documentation, MCP servers, or other AI-assisted design tooling.

• Familiarity with theming capabilities and their implementation within design systems.

• Experience contributing code (e.g., via PRs) to design system component libraries.

• Understanding of front-end development principles and frameworks.

📝 Enhancement Note: The distinction between required and preferred skills, particularly the emphasis on AI-specific tooling and LLM documentation as "additional experience," suggests that while core design systems and product design skills are paramount, demonstrated experience with cutting-edge AI applications in design will be a significant differentiator. The "Senior Staff Equivalent" level implies a need for strategic thinking and mentorship capabilities beyond individual contribution.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Design System Case Studies: Showcase 2-3 in-depth case studies detailing your experience building, evolving, or maintaining a design system. Focus on the "why" behind your decisions, from foundational token architecture to complex component design.

• AI Integration Examples: Include specific examples or a dedicated section demonstrating how you've integrated AI tools into your design process, highlighting efficiency gains, improved output quality, or novel applications.

• Component Design & Documentation: Present examples of well-documented components, illustrating clear APIs, variant usage, tokenization, and accessibility considerations.

• Collaboration & Impact: Detail your collaborative processes with engineering and product teams, using metrics or qualitative feedback to demonstrate the impact of your design system contributions on product velocity, consistency, and quality.

Process Documentation:

• Workflow Optimization: Illustrate your approach to optimizing design and development workflows through systematic design and tooling.

• Systemic Decision-Making: Provide examples of how you've contributed to or led systemic decisions regarding architecture, naming conventions, and migration strategies.

• AI Tooling Development: If applicable, showcase any contributions to AI tooling, prompt engineering, or documentation designed for LLM consumption.

📝 Enhancement Note: The portfolio requirements strongly emphasize not just the output of design systems work but also the process and the innovative application of AI. Candidates should be prepared to articulate not only the components they've designed but also how they've facilitated adoption, collaborated on implementation, and leveraged AI to enhance the design system's utility and efficiency.

💵 Compensation & Benefits

Salary Range:

• Denver, CO: $147,000 - $215,000 per year

• San Francisco, CA & New York, NY: $178,000 - $253,000 per year

📝 Enhancement Note: The salary ranges provided are competitive and reflect the cost of living and market demand for senior-level design systems and product design talent in these major tech hubs. The variation between locations is standard for large organizations. The AI-derived salary range is based on the provided input data.

Benefits:

• Competitive Base Pay: As outlined in the salary ranges.

• Equity (RSUs): Restricted Stock Units, providing ownership and potential for growth as the company succeeds.

• Health Insurance: Comprehensive medical, dental, and vision coverage.

• 401(k)s: Retirement savings plan with potential company matching.

• Total Rewards Philosophy: Gusto emphasizes a holistic approach to compensation, ensuring all aspects of rewards are considered.

Working Hours: The standard working hours are approximately 40 hours per week. While the role is hybrid, specific in-office days will be designated, typically 2-3 days per week.

📝 Enhancement Note: Gusto's benefits package is designed to support employees holistically, covering health, financial well-being, and long-term company success through equity. The hybrid work arrangement balances the need for in-person collaboration with flexibility.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (SaaS - Payroll, HR, Benefits for Small Businesses)

Company Size: Gusto supports over 500,000 small businesses nationwide. The internal employee count is not specified but is implied to be substantial given teams in multiple locations and a large product design organization.

Founded: Gusto was founded to address the complex needs of small businesses, focusing on simplifying HR, payroll, and benefits.

Team Structure:

• The Design Systems Designer will join the Builder Enablement team, a small, tight-knit group of designers and engineers embedded within Gusto's broader design organization.

• This team is led by the Chief Design Officer (CDO), Amy Thibodeau, indicating a high level of strategic design leadership.

• The team owns Gusto's internal design system, Workbench, and focuses on how it's used by designers and engineers, including AI-assisted workflows. Methodology:

• Data-Driven Design: The company likely employs data analysis to understand user needs and measure the impact of design decisions, a crucial aspect for operations roles.

• Systems Thinking & Optimization: A core tenet of the Builder Enablement team is to improve how builders ship work, implying a focus on process optimization and efficiency.

• AI Integration: Gusto is actively integrating AI into its operations and product development, expecting all team members to engage with and leverage AI tools.

Company Website: https://gusto.com/

📝 Enhancement Note: Gusto's mission to support small businesses is central to its culture. The emphasis on "Builder Enablement" and AI integration suggests a forward-thinking, efficiency-focused environment where design systems play a critical role in scaling quality and innovation. The leadership under the CDO points to a strong design-led approach.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a Senior Staff equivalent level, signifying a significant level of expertise, autonomy, and potential for influence. It involves not only execution but also strategic input into the design system's direction and AI integration.

Reporting Structure: The role reports into the Builder Enablement team, which is embedded within Gusto's design organization and led by the Chief Design Officer (CDO). This structure provides direct access to design leadership and fosters cross-functional collaboration.

Operations Impact: The Design Systems Designer will have a direct impact on the efficiency, consistency, and quality of product development across Gusto. By maintaining and evolving Workbench and developing AI-assisted tooling, this role empowers hundreds of designers and engineers, ultimately influencing the user experience and speed to market for Gusto's platform.

Growth Opportunities:

• Deep Systems Expertise: Opportunity to become a leading expert in design systems and AI integration within a rapidly growing tech company.

• Technical Leadership: Potential to influence the technical direction of the design system and its integration into AI workflows, potentially leading to technical leadership roles.

• Cross-Functional Influence: Develop strong partnerships with Product, Engineering, and Data teams, enhancing influence across the organization.

• Mentorship: As a senior individual contributor, there will be opportunities to mentor junior designers and engineers on design systems best practices and AI tool usage.

• Industry Recognition: Contributing to innovative AI-assisted design systems can position the individual as a thought leader in the field.

📝 Enhancement Note: The "Senior Staff Equivalent" designation suggests that growth here is less about vertical promotion and more about deepening expertise, expanding influence, and potentially taking on more strategic initiatives within the design systems and AI space.

🌐 Work Environment

Office Type: Gusto operates with a hybrid work model. Employees based in Denver, San Francisco, or New York are expected to work from the office approximately 2-3 days per week.

Office Location(s): Physical office spaces are available in Denver, CO; San Francisco, CA; and New York, NY. The San Francisco office expectations also cover the San Jose metro area.

Workspace Context:

• Collaborative Environment: The hybrid model is designed to foster collaboration, team cohesion, and spontaneous interactions, crucial for design systems work.

• Tools & Technology: Access to industry-standard design tools (Figma) and development tools (GitHub) is expected. The role also involves working with and developing AI tooling.

• Team Interaction: Opportunities for direct interaction with a tight-knit team of designers and engineers within the Builder Enablement team, as well as broader collaboration with product and engineering partners.

Work Schedule: The standard work schedule is approximately 40 hours per week, with the hybrid model requiring in-office presence on designated days. A reliable internet connection is mandatory for all employees, including remote or hybrid days.

📝 Enhancement Note: The hybrid model reflects a modern workplace approach balancing in-person collaboration with remote flexibility. For a design systems role, the in-office days are likely critical for deep collaboration with engineering and fellow designers, while remote days can be utilized for focused individual work and documentation.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and portfolios to assess alignment with the core requirements.

• Portfolio Review & Discussion: Candidates will likely present their portfolio, focusing on design systems case studies, AI integration examples, and their process. This session will assess design craft, systems thinking, and communication skills.

• Technical Pairing Session: Expect a session with engineering partners to evaluate technical acumen, ability to collaborate on code, and understanding of implementation constraints.

• Design Systems Deep Dive: A session focused on design systems principles, token architecture, accessibility, and strategic thinking regarding the evolution of Workbench.

• Cross-Functional Collaboration Interview: An interview with peers from Product, Engineering, or other design disciplines to assess collaboration style, problem-solving approach, and ability to influence.

• Hiring Manager Interview: A final discussion with the Hiring Manager (potentially CDO Amy Thibodeau or a direct report) to assess cultural fit, leadership potential, and strategic alignment.

Portfolio Review Tips:

• Highlight AI Integration: Clearly showcase how you've used AI tools in your design process, providing tangible examples and metrics if possible.

• Structure for Clarity: Organize your portfolio with clear case studies, starting with the problem, your process, your specific contributions, the solution, and the outcomes/impact.

• Focus on Systems Thinking: Emphasize your understanding of how components and tokens fit into a larger system, and how your decisions impact scalability and consistency.

• Demonstrate Collaboration: Use examples to show how you effectively partner with engineers and other stakeholders, including how you handle design disagreements or technical constraints.

• Showcase Documentation Skills: Include examples of well-written documentation, usage guidelines, and component rationale.

Challenge Preparation:

• Design System Problem: Be prepared for a hypothetical challenge related to evolving a design system, addressing a specific technical constraint, or integrating a new pattern.

• AI Prompt Engineering: You might be asked to demonstrate how you would prompt an AI to generate specific UI elements or documentation based on system guidelines.

• Accessibility Scenario: Prepare to discuss how you would ensure a complex component is fully accessible and address potential challenges.

• Systemic Decision Scenario: Consider how you would approach making a significant architectural decision for the design system, balancing different stakeholder needs.

📝 Enhancement Note: The interview process is designed to thoroughly assess a candidate's technical skills, strategic thinking, collaborative abilities, and unique AI fluency. A strong portfolio that directly addresses the AI-native aspect of the role will be crucial for success.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core tool for design creation, prototyping, and component construction. Expertise in variables, tokens, and advanced component features is essential.

• GitHub: Used for version control, code collaboration, and managing pull requests (PRs) for coded component implementations.

• Storybook: Likely used for documenting and showcasing design system components in a developer-friendly format, potentially with AI-generated content.

Analytics & Reporting:

• While not explicitly listed, expect to utilize internal analytics tools to track design system adoption, component usage, and the impact of design improvements. Tools like Amplitude or similar product analytics platforms may be in use. CRM & Automation:

• Internal Tools: Gusto likely uses internal systems for managing design requests, feedback, and project tracking.

• AI Tools: Candidates are expected to be fluent with AI assistants like Claude, Copilot, or similar, and potentially contribute to or utilize specific AI tooling developed internally (e.g., MCP servers for LLM interaction).

📝 Enhancement Note: The technology stack emphasizes a blend of leading design tools and a forward-looking adoption of AI and code-based collaboration. Proficiency in Figma and GitHub is foundational, while demonstrated experience with AI tools and potentially contributing to their development is a key differentiator for this role.

👥 Team Culture & Values

Operations Values:

• Empowerment: The team's mission is to "make high-quality, AI-assisted shipping the default for every builder at Gusto," reflecting a value of empowering others.

• Craftsmanship & Systems Thinking: A deep care for quality, detail, and the interconnectedness of design components and processes.

• Efficiency & Innovation: A drive to improve workflows and leverage new technologies like AI to achieve better outcomes.

• Collaboration & Service: Embedded within the design org, the team likely operates with a service-oriented mindset, supporting product teams.

• Inclusivity: Gusto emphasizes hiring from diverse backgrounds and building an inclusive workplace, which should extend to design system accessibility and usability.

Collaboration Style:

• Cross-Functional Integration: Close partnerships with engineering are critical, involving shared design decisions and code contributions. Collaboration with Product, Research, and Data teams is also expected.

• Process-Oriented Feedback: A culture that likely values constructive feedback loops for design and development processes, aiming for continuous improvement.

• Knowledge Sharing: Encouragement of sharing best practices, learnings from AI experimentation, and design system updates through documentation and direct interaction.

📝 Enhancement Note: The culture appears to be one of high-performing, collaborative individuals focused on enabling others through robust systems and innovative technology. The emphasis on AI suggests an appetite for experimentation and continuous learning within the team.

⚡ Challenges & Growth Opportunities

Challenges:

• Pioneering AI Integration: Being at the forefront of integrating AI into design systems presents unique challenges in defining best practices, establishing reliable workflows, and managing evolving AI capabilities.

• Balancing Brand Refresh with System Evolution: Simultaneously managing a major brand refresh while evolving the core design system architecture and tooling requires careful planning and execution.

• Ensuring LLM Legibility: Developing content and structures that are effectively understood and utilized by LLMs is a novel challenge requiring a deep understanding of both design systems and AI capabilities.

• Driving Adoption: As with any design system, ensuring consistent adoption and adherence across a large organization requires strong communication, support, and continuous iteration.

Learning & Development Opportunities:

• AI Specialization: Deepen expertise in AI-assisted design workflows, prompt engineering, and the application of LLMs in product development.

• Advanced Systems Design: Gain experience in complex token architecture, theming, and the strategic direction of a mature design system.

• Technical Collaboration: Hone skills in partnering with engineers, understanding code implementation, and contributing to technical plans.

• Thought Leadership: Opportunity to shape the future of AI in design systems, potentially through internal presentations, external talks, or contributions to industry best practices.

• Mentorship: Grow leadership skills by guiding and mentoring other designers and engineers on design systems principles and AI tool usage.

📝 Enhancement Note: This role offers a unique opportunity to tackle cutting-edge challenges at the intersection of design systems and AI, providing significant growth potential for individuals interested in shaping the future of digital product development.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you significantly improved a design system's adoption or consistency. What was your process, and what was the outcome?" (Focus on process optimization, stakeholder management, and metrics.)

• "How would you approach making a design system 'AI-native'? What specific steps would you take to ensure LLMs can effectively interpret and use our components and tokens?" (Prepare to discuss LLM-readable documentation, structured content, and AI tooling.)

• "Imagine we need to integrate a new, complex component into Workbench with strict accessibility requirements. Walk me through your process, including how you'd collaborate with engineering." (Focus on problem-solving, process examples, and accessibility considerations.) Company & Culture Questions:

• "Why Gusto, and why this role specifically? What excites you about our mission and our approach to AI?" (Research Gusto's mission, values, and recent AI initiatives.)

• "How do you stay updated on the latest trends in design systems and AI tooling?" (Demonstrate continuous learning and proactive engagement with industry advancements.)

• "Describe your experience working in a hybrid environment. How do you ensure effective collaboration and communication with remote and in-office colleagues?" (Highlight your collaboration style and adaptability.) Portfolio Presentation Strategy:

• Start with Impact: Begin your presentation by highlighting the most impactful projects, especially those involving AI integration or significant system improvements.

• Tell a Story: For each case study, frame it as a narrative: problem, your approach, your specific contributions, the solution, and the measurable results.

• Deep Dive on AI: Dedicate specific time to explaining your AI fluency and any projects where you've leveraged AI in your workflow. Be ready to discuss prompt engineering and output evaluation.

• Technical Collaboration: Clearly articulate how you partnered with engineers, including any code contributions or technical decision-making processes.

• Systems Rationale: Explain the "why" behind your design decisions, focusing on token architecture, component API design, and scalability.

📝 Enhancement Note: Preparation should focus on articulating not just design skills but also strategic thinking, AI proficiency, and collaborative capabilities. Candidates should be ready to demonstrate how they translate complex design system concepts into practical, AI-enhanced solutions.

📌 Application Steps

To apply for this Design Systems, Product Designer position:

• Submit your application through the Gusto careers portal (https://job-boards.greenhouse.io/gusto/jobs/8111984).

• Curate Your Portfolio: Tailor your portfolio to prominently feature design systems case studies, AI integration examples, and your collaboration process with engineering. Ensure it clearly demonstrates your expertise in token architecture and component design.

• Optimize Your Resume: Highlight keywords such as "Design Systems," "Product Design," "AI-Assisted Workflows," "Token Architecture," "Figma," "WCAG AA," and "GitHub" to align with the job description and ATS scanning. Quantify achievements where possible.

• Prepare Your Presentation: Practice walking through your portfolio, focusing on articulating your AI fluency, systems thinking, and collaborative approach. Be ready to discuss specific examples of how you've made design systems more efficient and legible for AI.

• Research Gusto: Understand Gusto's mission, values, and their commitment to AI integration. Prepare to discuss how your skills and experience align with their culture and strategic goals.

⚠️ 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.