Staff Design Systems Engineer

📍 Job Overview

Job Title: Staff Design Systems Engineer

Company: ClickUp

Location: United States

Job Type: FULL_TIME

Category: Design Operations / Product Operations

Date Posted: 2026-05-22

Experience Level: 5-10 Years

Remote Status: Fully Remote

🚀 Role Summary

• Drive the evolution of design systems and workflows, leveraging AI to achieve 10x efficiency gains for the Design & Research organization.

• Embed within design and research sessions to identify friction points and rebuild workflows using AI, transforming lengthy processes into automated background tasks.

• Utilize LLMs and AI coding assistants to prototype agents, develop scripts, and implement integrations across critical tools like Figma, research repositories, and component libraries.

• Partner closely with leadership to enhance team quality and efficiency, focusing on areas like research rigor, design system consistency, and cross-functional handoffs.

📝 Enhancement Note: This role is strategically positioned at the intersection of Design Operations, Product Operations, and emerging AI workflow automation. The emphasis on "AI-first" and "10x efficiency" indicates a critical need for an individual who can not only manage existing design systems but also innovate by integrating cutting-edge AI technologies to redefine operational processes within the Design and Research functions. This is not a traditional design systems role; it's about building operational efficiency through AI.

📈 Primary Responsibilities

• Design Systems Evolution & AI Integration: Own and advance the company's design systems, embedding AI-first methodologies and workflows to significantly boost efficiency for designers and researchers.

• Workflow Automation & Optimization: Deeply understand current design and research processes (e.g., participant recruitment, interview synthesis, spec generation, project tracking) and identify high-leverage friction points for AI-driven rebuilding.

• AI Agent & Tool Development: Ship AI agents, scripts, and integrations that leverage LLMs (like Claude, ChatGPT) and AI coding assistants (like Claude Code, Cursor) for tasks across Figma, research repositories, and component libraries.

• Process Transformation: Convert repetitive, manual tasks performed by designers and researchers into automated, background processes, reducing cognitive load and increasing capacity.

• Strategic Operational Improvement: Contribute to the strategic enhancement of team quality and efficiency by identifying opportunities for AI to improve research rigor, design system consistency, and the quality of cross-functional handoffs.

• Cross-functional Collaboration: Partner closely with the Head of Design, research leads, and the broader Product Operations team to ensure design and research operations meet ambitious targets for pace and quality.

• Technical System Integration: Wire together various systems and tools using APIs and automation platforms to create seamless operational workflows.

• Quality Assurance: Apply a keen eye for design and research quality, ensuring that automated processes and system enhancements maintain or elevate the standards of craft and detail.

📝 Enhancement Note: The responsibilities highlight a proactive, hands-on approach to operational improvement. The emphasis on "shipping agents, scripts, and integrations" and "turning automate-able tasks into background processes" suggests a need for someone who can not only strategize but also execute and deploy technical solutions. The expectation to "rebuild those workflows from the ground up using AI" signifies a significant degree of autonomy and innovation required in this role.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a background in Engineering, Research, Design, or Product Management is preferred, indicating a strong understanding of the domains this role supports.

Experience:

• 4+ years in design systems, design engineering, design operations, research operations, or technical program management at a fast-paced company.

• Demonstrated active use of LLMs (e.g., Claude, ChatGPT) in professional workflows, with a portfolio of AI projects to share.

• Experience with modern design and research tooling ecosystems (Figma, design tokens, component libraries, research repositories, prototyping tools).

• Strong technical fluency, including APIs, automation platforms, and the ability to integrate systems.

• Experience in operations at a high-growth SaaS company shipping to millions of users is a plus.

Required Skills:

• AI & LLM Proficiency: Active and practical experience with Large Language Models (Claude, ChatGPT) and AI coding assistants (Claude Code, Cursor) for workflow development and prototyping.

• Design Systems Management: Expertise in managing, evolving, and implementing design systems, including component libraries and design tokens.

• Technical Fluency: Strong understanding of APIs, automation platforms, and scripting for system integration.

• Tooling Ecosystem Knowledge: Familiarity with design and research tools such as Figma, prototyping tools, and research repositories.

• Process Optimization: Ability to identify inefficiencies, diagnose operational problems, and implement effective solutions.

• Cross-functional Collaboration: Proven ability to work effectively with diverse teams, including Design, Research, and Product Operations.

• Project Management: Capacity to manage multiple high-urgency projects simultaneously.

• Attention to Detail: A strong eye for design and research quality and a commitment to high standards.

• Bias for Action: Proactive approach to problem-solving, from diagnosis to implementation.

Preferred Skills:

• Engineering, Research, Design, or Product Management background.

• Experience planning or supporting customer interviews, usability tests, or research synthesis at scale.

• Familiarity with extending shared components in design systems.

• Experience in operations at a high-growth SaaS company.

• Track record of building adopted internal AI tools or agents.

📝 Enhancement Note: The "Required Skills" are heavily weighted towards practical application of AI in operational contexts, differentiating this from a standard design systems role. The emphasis on "active use of LLMs... in your actual workflow" and "AI projects you're excited to share" indicates that candidates will be expected to demonstrate tangible experience with AI tools, not just theoretical knowledge.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• AI-Driven Workflow Case Studies: Showcase specific examples of how you've used AI (LLMs, agents, scripts) to automate or significantly improve design or research workflows. Detail the problem, your solution, the tools used, and the quantifiable impact (e.g., time saved, efficiency gained).

• Design System Documentation: Provide examples of design system documentation you've created or managed, highlighting consistency, scalability, and accessibility. If applicable, show how AI tools helped in this process.

• Technical Integration Examples: Demonstrate your ability to connect disparate systems. This could include examples of API integrations, automation scripts, or workflow orchestration that link design/research tools with other platforms.

• Efficiency Metrics & ROI: Present clear metrics demonstrating the impact of your work on team efficiency, productivity, or quality. Quantify the return on investment for implemented solutions.

Process Documentation:

• Workflow Design & Optimization: Illustrate your process for analyzing existing workflows, identifying bottlenecks, and designing new, optimized processes, particularly those incorporating AI.

• Implementation & Automation Methods: Detail your approach to implementing new systems and automating processes, including tool selection, development methodologies (e.g., agile for AI agent development), and deployment strategies.

• Measurement & Performance Analysis: Showcase how you measure the performance and adoption of implemented systems and workflows, including setting KPIs, collecting feedback, and iterating based on data.

📝 Enhancement Note: Given the AI-centric nature of this role, the portfolio must strongly feature AI applications. Candidates should be prepared to discuss the technical underpinnings of their AI solutions and demonstrate how they drive tangible operational improvements within design and research contexts. This goes beyond traditional UX/UI portfolio pieces to include operational engineering and AI implementation.

💵 Compensation & Benefits

Salary Range: $190,000 - $230,000 USD per year.

Benefits:

• Equity: Stock options or grants, providing ownership in ClickUp's growth.

• Retirement Savings: 401k plan with potential company match.

• Comprehensive Health Coverage: Medical, Dental, and Vision insurance plans.

• Flexible Spending Accounts: For healthcare and dependent care expenses.

• Insurance: Life Insurance and Disability Insurance.

• Paid Parental Leave: Generous leave for new parents.

• Flexible Paid Time Off: Encouraging work-life balance and personal time.

• Employee Assistance Program (EAP): Enhanced support for employee well-being.

• Wellness Stipend: Financial support for employee wellness activities.

• Professional Development Stipend: Funding for continuous learning, training, and conferences.

Working Hours: While specific hours are not detailed, the "Fully Remote" status and emphasis on flexibility suggest a results-oriented environment. It is common for such roles to operate on standard US business hours, with flexibility for asynchronous work.

📝 Enhancement Note: The salary range provided is competitive for a Staff-level engineering role with specialized AI and operations responsibilities in the US tech market. The extensive benefits package, particularly the professional development stipend and flexible PTO, aligns with attracting and retaining top talent in a high-growth tech company.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software / AI-Powered Workspace Solutions. ClickUp operates in the highly competitive productivity and collaboration software market, differentiating itself by integrating AI to create a "truly converged AI workspace." This industry context means a fast-paced, innovative environment focused on rapid product development and customer acquisition.

Company Size: ClickUp is a rapidly growing, well-funded tech company. While the exact current size isn't specified in the input, its description as a company "shipping to millions of users" and hiring for a "Staff" level role implies a significant, established, yet still agile organization. This size often means established processes but also opportunities for impact and influence.

Founded: ClickUp was founded with a mission to redefine work. Its founding ethos likely emphasizes challenging the status quo, innovation, and a user-centric approach to productivity tools.

Team Structure:

• Design & Research Org: This role is embedded within the Design & Research organization, reporting to leadership within that function (e.g., Head of Design).

• Product Operations Integration: Close partnership with the broader Product Operations team is crucial, indicating a collaborative structure where operational excellence is a shared responsibility.

• Cross-functional Collaboration: The role requires seamless collaboration with designers, researchers, engineers, and potentially product managers to implement and adopt new workflows and systems.

Methodology:

• AI-First Approach: Core to ClickUp's strategy and this role's function is the integration of AI into product and operations.

• Data-Driven Decision Making: The emphasis on "metrics," "efficiency," and "impact" suggests a culture that values quantifiable results and data analysis.

• Agile & Iterative Development: Fast-paced environments like ClickUp typically employ agile methodologies, focusing on rapid iteration, feedback loops, and continuous improvement.

• Workflow Optimization Focus: A central theme is identifying and eliminating friction points to maximize team capacity and output.

Company Website: https://clickup.com/

📝 Enhancement Note: ClickUp's positioning as an "AI-first" company is a critical differentiator. This role is not just about supporting design systems; it's about pioneering AI-driven operational efficiencies for one of the most critical creative functions within a tech company. The culture is likely one of high performance, rapid iteration, and a strong belief in the transformative power of AI.

📈 Career & Growth Analysis

Operations Career Level: This is a "Staff" level position, indicating a senior individual contributor role. Staff engineers are expected to have a broad impact, influence technical strategy, mentor others, and tackle complex, ambiguous problems that span multiple teams or domains. For this role, it means defining and executing the AI-driven operational strategy for the Design & Research org.

Reporting Structure: The role reports into the Design & Research organization, likely to a senior leader such as the Head of Design. Close collaboration with Product Operations is also a key aspect of the reporting dynamic.

Operations Impact: The primary impact of this role is to "10x" the efficiency of the Design & Research teams. This translates directly to faster product development cycles, higher quality design outputs, more rigorous research, and improved cross-functional communication. By removing operational friction, the role enables the creative teams to focus more on strategic work and innovation, directly contributing to ClickUp's overall product velocity and market competitiveness.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI workflow automation, LLM applications in design/research, and advanced design systems engineering.

• Leadership Influence: Grow into a recognized leader and strategist for operational excellence within the Design and Product organizations, potentially influencing company-wide AI adoption strategies.

• Mentorship: Mentor junior engineers, designers, or operations specialists on AI tools and best practices for workflow automation.

• Product Innovation: Contribute to product strategy by identifying new ways AI can enhance user workflows or internal team productivity, potentially leading to new feature development.

• Cross-functional Leadership: Develop strong partnerships and gain visibility across multiple departments, paving the way for broader leadership opportunities.

📝 Enhancement Note: The "Staff" designation implies that candidates should have a proven track record of solving complex problems and driving significant impact independently. Growth opportunities are geared towards leadership and deep technical specialization at the forefront of AI application in creative operations.

🌐 Work Environment

Office Type: This role is designated as "TELECOMMUTE" and "Fully Remote," meaning there is no requirement to be in a physical office location. The work is conducted entirely online.

Office Location(s): The role is open to candidates located within the United States. This likely implies adherence to US labor laws and potentially requires candidates to be authorized to work in the US. Timezone alignment, specifically "America/Chicago," might be preferred for certain collaborative activities, but the remote nature suggests flexibility.

Workspace Context:

• Digital Collaboration: The primary workspace will be digital, relying on collaboration tools, video conferencing, and asynchronous communication platforms.

• AI Tool Integration: Access to and proficiency with a suite of AI tools, design software (Figma), and internal development/research platforms will be essential.

• Independent Work Environment: Candidates should be comfortable and productive working independently from a home office setup, managing their own time and focus.

• Team Interaction: Despite being remote, strong emphasis will be placed on team interaction through scheduled meetings, Slack channels, and collaborative sessions, facilitated by robust communication infrastructure.

Work Schedule: While the specific working hours are not detailed, the role is "FULL_TIME" and remote. Standard US business hours are generally expected for core collaboration, but the nature of remote work often allows for flexibility in scheduling around core availability. The focus is on results and output rather than strict time-tracking.

📝 Enhancement Note: The fully remote nature within the United States is a key aspect, offering flexibility. However, candidates should be prepared for a highly connected digital work environment and potentially some timezone coordination depending on team needs.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio, with a strong focus on AI project experience and quantifiable achievements in design/research operations.

• Technical/AI Assessment: This may involve a coding exercise, a deep dive into your AI project portfolio, and discussions about your technical approach to workflow automation and system integration. Expect questions on LLM capabilities, API usage, and scripting.

• Design Systems & Operations Deep Dive: Discussions focused on your experience with design systems, how you've managed them, and your understanding of design/research quality. You'll be asked to articulate your approach to operational problem-solving.

• Behavioral & Situational Interviews: Assessment of your collaboration style, problem-solving approach, ability to manage multiple priorities, and cultural fit within ClickUp's fast-paced, AI-driven environment.

• Final Round with Leadership: A discussion with senior leaders, likely including the Head of Design, to assess strategic thinking, vision for AI in operations, and overall impact potential.

Portfolio Review Tips:

• Highlight AI Impact: Clearly showcase 2-3 key AI projects. For each, detail the problem, the AI solution implemented (mentioning specific LLMs/tools), the methodology, and quantifiable results (e.g., "Reduced synthesis time by 60%", "Increased design system adoption by 25%").

• Demonstrate Technical Fluency: Be prepared to discuss the technical architecture of your AI solutions, including APIs, data flows, and any challenges overcome during integration.

• Showcase Design Sensibility: Even if not a designer, articulate your understanding of design quality, consistency, and user experience principles as they apply to operational efficiency.

• Structure for Clarity: Organize your portfolio logically, perhaps by project type or impact area. Use clear, concise language and visuals where appropriate.

• Tailor to ClickUp: Research ClickUp's product and recent AI initiatives. Frame your experience and projects in a way that clearly aligns with their mission and the role's objectives.

Challenge Preparation:

• AI Workflow Design: Be prepared to whiteboard or discuss how you would design an AI-driven workflow for a specific design or research task (e.g., summarizing user feedback from multiple sources, generating initial design variations based on prompts).

• System Integration Scenario: You might be asked to outline how you would integrate Figma with a research repository or a component library using APIs and automation.

• Problem Diagnosis: Practice articulating how you would diagnose an operational bottleneck within a hypothetical design team, and what AI-powered solutions you might propose.

📝 Enhancement Note: The interview process is heavily geared towards practical application of AI in operational contexts. Candidates should prepare to demonstrate not just theoretical knowledge but hands-on experience and a results-oriented mindset, particularly concerning quantifiable improvements.

🛠 Tools & Technology Stack

Primary Tools:

• AI & LLMs: Active hands-on experience with Large Language Models such as Claude, ChatGPT. Familiarity with AI coding assistants like Claude Code and Cursor.

• Design & Prototyping: Figma is explicitly mentioned, implying deep familiarity. Experience with other prototyping tools is also relevant.

• Design Systems: Tools and platforms for managing design tokens, component libraries, and design system documentation.

• Automation Platforms: Experience with workflow automation tools and platforms that can connect various applications.

Analytics & Reporting:

• Data Analysis Tools: While not specified, proficiency in analyzing metrics related to workflow efficiency, adoption rates, and ROI is crucial. This might involve spreadsheets, BI tools, or custom scripts.

• Performance Tracking: Ability to track the performance and adoption of implemented AI agents and workflows.

CRM & Automation:

• APIs & Integrations: Strong technical fluency in understanding and utilizing APIs to connect different software systems.

• Scripting: Proficiency in scripting languages (e.g., Python, JavaScript) for automation and integration tasks.

• Project Management Tools: Familiarity with tools like ClickUp itself is highly advantageous for understanding the product and operational context.

📝 Enhancement Note: The technology stack emphasizes cutting-edge AI tools, robust design platforms, and strong integration capabilities. Candidates should be prepared to discuss their experience with these specific types of technologies and how they leverage them for operational efficiency.

👥 Team Culture & Values

Operations Values:

• AI-Driven Innovation: A core value is the continuous exploration and integration of AI to redefine how work gets done, pushing boundaries in efficiency and capability.

• Bias for Action & Execution: A culture that encourages moving quickly, identifying problems, proposing solutions, and, most importantly, implementing them. The focus is on tangible results over prolonged deliberation.

• Obsession with Friction Reduction: A deep commitment to identifying and eliminating every possible point of friction for internal teams, particularly in creative and research functions.

• High Standards & Quality Craft: While moving fast, there's an equally strong emphasis on maintaining high standards of quality, detail, and craft in both product output and operational processes.

• Collaboration & Empowerment: Fostering an environment where teams work together, share knowledge, and are empowered to take ownership and drive initiatives.

Collaboration Style:

• Cross-functional Integration: Seamless integration between Design, Research, Product Ops, and engineering teams is paramount. This role acts as a key bridge.

• Proactive Communication: Open, transparent, and frequent communication, leveraging digital tools effectively to keep stakeholders informed and aligned.

• Feedback-Rich Environment: A culture that encourages constructive feedback, both giving and receiving, to continuously improve processes and outcomes.

• Empowered Individual Contribution: While collaborative, the culture values individuals who can take initiative, drive projects forward autonomously, and contribute unique expertise.

📝 Enhancement Note: The culture values proactivity, innovation (especially with AI), and a results-oriented approach. Candidates who thrive in fast-paced, execution-focused environments and are passionate about leveraging technology to improve operational efficiency will be a strong fit.

⚡ Challenges & Growth Opportunities

Challenges:

• Pace of AI Evolution: Keeping up with the rapid advancements in AI technology and discerning which tools and techniques will provide lasting operational value.

• Adoption & Change Management: Ensuring that new AI-driven workflows and systems are effectively adopted by design and research teams, overcoming potential resistance to change.

• Ambiguity & Defining Scope: Navigating the often-ambiguous nature of AI applications and defining clear, impactful scope for projects within a fast-moving organization.

• Balancing Automation with Quality: Ensuring that the drive for automation and efficiency does not compromise the quality, rigor, or creativity of design and research outputs.

• Technical Complexity: Integrating diverse tools and platforms, managing data flows, and troubleshooting complex AI and automation systems.

Learning & Development Opportunities:

• AI Specialization: Deepen expertise in prompt engineering, AI agent development, LLM integration, and emerging AI technologies relevant to creative workflows.

• Design Systems Architecture: Advance skills in building scalable, robust, and AI-enhanced design systems.

• Product Operations Strategy: Gain insights into broader product operations strategies and how to scale them effectively in a high-growth SaaS environment.

• Leadership & Influence: Develop skills in influencing cross-functional teams, leading strategic initiatives, and mentoring peers.

• Industry Exposure: Opportunities to attend conferences, workshops, and training sessions focused on AI, design systems, and product operations.

📝 Enhancement Note: The role presents significant challenges due to the cutting-edge nature of AI application in operations, but these challenges are directly tied to substantial growth opportunities for individuals looking to be at the forefront of this field.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex workflow in design or research that you successfully automated or significantly improved using AI. What was the impact, and what tools did you use?" (Focus on problem, solution, AI tools, and quantifiable results).

• "How would you approach building an AI-powered system to help our research team synthesize interview data more efficiently? What are the key considerations and potential challenges?" (Demonstrate process thinking, AI application, and awareness of limitations).

Company & Culture Questions:

• "Based on your understanding of ClickUp's mission and recent AI announcements, how do you see AI transforming the future of work in software development?" (Research ClickUp's AI strategy and articulate a vision).

• "This role requires working closely with design and research teams who may have different technical backgrounds. How would you foster collaboration and ensure buy-in for new AI-driven processes?" (Focus on communication, empathy, and change management).

Portfolio Presentation Strategy:

• Narrative Arc: Structure your portfolio presentation with a clear narrative for each project: problem statement, your unique solution (especially AI's role), the implementation process, and the measurable outcome.

• Quantify Everything: Back up your claims with data. Use percentages, time saved, efficiency gains, or adoption rates.

• Technical Depth: Be prepared to discuss the technical architecture, tools, and trade-offs involved in your AI implementations.

• Show, Don't Just Tell: If possible, provide live demos or share screen recordings of your AI tools or automated workflows in action.

• Connect to ClickUp's Needs: Throughout your presentation, subtly (or explicitly) link your experience and achievements back to the specific requirements and goals of the Staff Design Systems Engineer role at ClickUp.

📝 Enhancement Note: Interview preparation should heavily emphasize practical, AI-centric problem-solving and the ability to articulate complex technical solutions and their business impact clearly. The portfolio is a critical component, so candidates must be ready to present it effectively.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on Ashby.

• Curate Your Operations Portfolio: Select 2-3 of your most impactful projects that showcase your experience with AI workflow automation, design systems, and technical integration. For each, prepare a concise summary highlighting the problem, your AI-driven solution, the tools used, and quantifiable results.

• Optimize Your Resume: Tailor your resume to highlight keywords relevant to AI, LLMs, design systems, automation, APIs, and operational efficiency. Quantify your achievements wherever possible.

• Prepare for AI/Technical Discussions: Review your experience with LLMs (Claude, ChatGPT), AI coding assistants, Figma, and API integrations. Be ready to discuss technical challenges and solutions in detail. Practice articulating how you would build AI-driven workflows.

• Research ClickUp's AI Strategy: Understand ClickUp's current product offerings, their stated AI vision, and recent news. This will help you tailor your responses and demonstrate genuine interest and alignment with the company's direction.

⚠️ 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.