Principal UX Design Systems Lead (Hybrid-San Diego, CA or Acton, MA)

📍 Job Overview

Job Title: Principal UX Design Systems Lead

Company: Insulet Corporation

Location: San Diego, California, United States OR Acton, Massachusetts, United States

Job Type: Full-Time

Category: Product Development Operations / Design Systems

Date Posted: June 25, 2026

Experience Level: 5-10 Years

Remote Status: Hybrid

🚀 Role Summary

• Spearhead the development of an AI-native platform that redefines digital experience creation, moving beyond traditional design handoffs.

• Lead the evolution of Insulet's Global Design System, ensuring machine-readable architecture and true design-to-code parity.

• Build and manage a community-driven, federated design system model (Core + Extensions) to foster collaboration and drive adoption.

• Define and track key metrics to measure the platform's health, impact, and the successful integration of AI in the product development lifecycle.

• Operate as a strategic leader, blending design, engineering, and community-building expertise to create a robust product development operating system.

📝 Enhancement Note: This role is positioned at a Principal level, indicating significant strategic influence and ownership. The focus on an "AI-native platform" and "AI-Driven Development Lifecycle (AIDLC)" suggests a forward-thinking approach to operations, aiming to integrate artificial intelligence deeply into the product development process. This is a critical differentiator from traditional Design Systems Lead roles.

📈 Primary Responsibilities

• Platform Development: Evolve Insulet's Global Design System, including tokens, theming, primitives, components, templates, and patterns, establishing a machine-readable architecture as the single source of truth for both human and AI consumption.

• AI Context Layer: Define and evolve structured context that enables AI to generate design specifications, documentation, quick prototypes, and production-ready code, while automating accessibility validation, compliance checks, and visual QA.

• Community Building: Operate a Core + Extensions federated design system model, managing the shared foundation, supporting team-owned extensions, establishing governance and contribution models, and driving adoption through workshops and outreach.

• System Observability: Define, own, and track key metrics such as component reuse, design-to-code parity, system adherence, contribution velocity, reduction in production defects, and the quality of AI-generated output.

• Strategic Leadership: Act as a thought leader, guiding the strategic direction of the design system and AI integration within the product development lifecycle, ensuring alignment with business objectives and regulatory requirements.

📝 Enhancement Note: The responsibilities are heavily weighted towards building a novel platform that integrates AI, moving beyond standard design system management. The emphasis on "machine-readable architecture," "AI generation of assets," and "federated model" suggests a complex, multi-faceted operational challenge requiring a blend of technical, strategic, and interpersonal skills.

🎓 Skills & Qualifications

Education:

• Bachelor’s degree or an equivalent combination of education and practical experience in a relevant field (e.g., Human-Computer Interaction, Computer Science, Design, Engineering). Experience:

• 5+ years of progressive experience in leading or building enterprise-level Design Systems, with a strong track record of strategic impact.

• Demonstrated experience in architecting and governing complex systems, particularly in a federated model. Required Skills:

• Design Systems Expertise: Deep understanding of tokens, theming, component architecture, and patterns, with a proven ability to evolve them into a robust, scalable system.

• AI Integration Proficiency: Hands-on experience and a forward-thinking approach to leveraging AI in product development workflows, specifically for generating specifications, documentation, or code.

• Technical Stack Fluency: Proven experience connecting AI IDEs (e.g., Cursor, Claude Code, VS Code) with design tools (e.g., Figma) and production codebases, ensuring design-to-code parity.

• System Thinking: Ability to think in terms of systems, understanding how components and processes interrelate to form a cohesive product development operating system.

• Community & Governance: Strong skills in building and nurturing a community, establishing clear contribution models, governance frameworks, and operating rituals for a federated design system.

• Metrics & Analytics: Proficiency in defining, tracking, and analyzing metrics to measure system health, adoption, and impact on development efficiency and product quality.

Preferred Skills:

• Experience working within heavily regulated industries (e.g., medical devices, pharmaceuticals, finance).

• Familiarity with modern front-end development frameworks and practices.

• Experience with accessibility standards and automated validation processes.

• Strong understanding of AI ethics and safety considerations in product development.

📝 Enhancement Note: The requirement for AI integration and experience with specific AI IDEs is a significant differentiator. Candidates are expected to not just manage a design system but to actively build an AI-powered development platform. The "AI is part of your daily workflow" statement emphasizes a hands-on, practical understanding of AI's role in modern development.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Design System Case Studies: Showcase examples of building or significantly evolving enterprise design systems, detailing the architecture, component library, theming strategies, and governance models implemented.

• AI Integration Demonstrations: Provide evidence of how AI has been integrated into design or development workflows, including examples of AI-generated specifications, code snippets, or automated documentation.

• Design-to-Code Parity Examples: Illustrate successful implementations where design specifications and production code were tightly synchronized, highlighting methodologies and tools used to achieve this.

• Community & Governance Models: Present examples of how you've fostered adoption and collaboration within design system initiatives, including governance structures, contribution workflows, and community engagement strategies.

• Metrics & Impact Documentation: Demonstrate how you've defined and tracked metrics to measure the success and impact of design system initiatives, showcasing improvements in efficiency, consistency, or defect reduction.

Process Documentation:

• Workflow Design & Optimization: Candidates should be prepared to discuss their approach to designing and optimizing workflows for AI-native product development, including how they integrate design systems and AI tools.

• Implementation & Automation Methods: Detail methodologies for implementing design system components and leveraging AI for automation in areas like code generation, testing, and documentation.

• Measurement & Performance Analysis: Explain how you would establish and monitor key performance indicators (KPIs) for the design system platform and AI integration, focusing on continuous improvement.

📝 Enhancement Note: The portfolio expectations are exceptionally high, requiring candidates to demonstrate not just design system expertise but also practical experience with AI integration and the creation of an automated, AI-driven development lifecycle. The emphasis is on tangible proof of building systems that enable both humans and AI.

💵 Compensation & Benefits

Salary Range:

• San Diego, CA/Acton, MA: $189,000 - $283,500 annually.

• Regional Adjustment: This range is provided for U.S.-based positions. Actual pay will be determined by factors such as skills, qualifications, experience, and education.

Benefits:

• Comprehensive medical, dental, and vision insurance plans.

• 401(k) retirement plan with a company match.

• Generous paid time off (PTO) for work-life balance.

• Employee wellness programs designed to support overall health and well-being.

• Eligibility for incentive compensation. Working Hours:

• Standard full-time working hours are expected, typically around 40 hours per week.

• The role is hybrid, requiring on-site presence in either the San Diego, CA or Acton, MA office.

📝 Enhancement Note: The provided salary range is substantial, reflecting the senior and specialized nature of this Principal-level role, particularly its focus on AI and cutting-edge design systems. The hybrid work arrangement is clearly defined, requiring regular on-site engagement in one of the two specified locations.

🎯 Team & Company Context

🏢 Company Culture

Industry: Medical Device Manufacturing (specifically, diabetes care technology).

Company Size: Insulet Corporation is a publicly traded company with a significant global presence, likely falling into the large enterprise category (over 1,000 employees).

Founded: Insulet Corporation was founded in 2000, indicating a mature company that has established itself as a leader in its niche.

Team Structure:

• The role is part of a product development function, likely within a broader UX, Engineering, or Product Management organization.

• The Principal UX Design Systems Lead will operate as a key leader, potentially managing a small core team or influencing multiple cross-functional teams.

• Close collaboration is expected with UI/UX Designers, Software Engineers (front-end and AI/ML), Product Managers, and potentially Quality Assurance and Regulatory Affairs teams. Methodology:

• Data-Driven Development: Emphasis on defining and using metrics to drive platform improvements and product decisions.

• AI-First Approach: A core philosophy of leveraging AI to automate and enhance the product development lifecycle (AIDLC).

• Systemic Design: A focus on building robust, scalable systems rather than isolated components or features.

• Federated Governance: A model that balances centralized control (Core) with distributed ownership and innovation (Extensions).

• Agile & Iterative: Implied through the focus on quick experimentation, learning, and continuous improvement.

Company Website: https://insulet.com/

📝 Enhancement Note: Insulet's focus on medical devices, particularly for diabetes management, implies a strong emphasis on safety, compliance, and user experience quality. This regulatory environment will heavily influence the design system and AI integration strategies, requiring meticulous attention to detail and rigorous validation processes.

📈 Career & Growth Analysis

Operations Career Level: Principal UX Design Systems Lead. This is a senior individual contributor role with significant leadership responsibilities. It signifies a high level of expertise, strategic influence, and the ability to drive major initiatives.

Reporting Structure: While not explicitly stated, this role likely reports to a Director or VP level within Product, Engineering, or Design. The "Principal" title suggests autonomy and a direct line of influence on strategic decisions.

Operations Impact: The role is pivotal in transforming Insulet's product development process. By building an AI-native platform and a sophisticated design system, this position directly impacts:

• Speed to Market: Automating design and development processes to accelerate product delivery.

• Product Quality & Consistency: Ensuring adherence to standards and embedding quality by default through AI and system components.

• Efficiency & Cost Reduction: Reducing manual effort in design, development, and QA.

• Innovation: Freeing up teams to focus on higher-value problem-solving and experimentation.

• Regulatory Compliance: Automating checks and ensuring adherence to industry standards.

Growth Opportunities:

• Leadership Expansion: Potential to grow into a management role, leading a larger design systems or platform engineering team.

• Technical Specialization: Deepen expertise in AI integration, design ops tooling, and advanced system architecture.

• Strategic Influence: Become a key architect of Insulet's future product development strategy.

• Industry Recognition: Contribute to shaping best practices in AI-native design systems within the medical device industry.

📝 Enhancement Note: This role offers a unique opportunity to be at the forefront of integrating AI into design systems and product development. The impact is significant, touching on core business objectives like speed, quality, and innovation, especially within a regulated industry.

🌐 Work Environment

Office Type: Hybrid. This role requires on-site work from an Insulet office in either San Diego, CA, or Acton, MA. It is not a fully remote position.

Office Location(s):

• San Diego, California, United States (Office-based)

• Acton, Massachusetts, United States (Office-based) Workspace Context:

• Collaborative Environment: The hybrid model suggests a need for in-office collaboration, likely involving face-to-face meetings, workshops, and team interactions.

• Technology-Rich: Access to modern development tools, design software, and potentially specialized AI hardware or cloud infrastructure.

• Cross-Functional Interaction: Opportunities to work closely with diverse teams across Design, Engineering, Product Management, and potentially QA/Regulatory.

• Focus on Innovation: The nature of the role and company suggests an environment that values innovation, experimentation, and continuous improvement.

Work Schedule:

• Standard full-time hours (approx. 40 hours/week) are expected.

• The hybrid arrangement implies a need for flexibility to balance on-site and remote work, with specific days in the office likely determined by team needs and company policy.

📝 Enhancement Note: The hybrid nature of the role means candidates must be comfortable working from one of the specified office locations, balancing in-person collaboration with remote work flexibility. This environment is geared towards driving significant technological transformation within a regulated industry.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and portfolio, focusing on Design Systems leadership and AI integration experience.

• Technical & System Deep Dive: In-depth discussions and presentations on your approach to building AI-native platforms, design system architecture, and federated governance. Expect to discuss specific examples from your portfolio.

• AI Integration & Code Parity: Detailed exploration of your experience with AI IDEs, design-to-code workflows, and how you ensure reliable AI output and system adherence.

• Community & Collaboration: Assessment of your ability to build and manage a community, influence stakeholders, and collaborate effectively across disciplines.

• Case Study/Challenge: Potential for a practical exercise or case study focused on solving a complex design system or AI integration problem, requiring you to articulate your thought process and proposed solutions.

• Final Round: Discussions with senior leadership to assess strategic alignment, cultural fit, and overall leadership potential.

Portfolio Review Tips:

• Structure for AI: Organize your portfolio to clearly highlight your experience with AI integration in design and development. Use specific examples to demonstrate how you structure context for AI consumption and how AI generates assets.

• Design-to-Code Focus: Explicitly showcase projects where you achieved high design-to-code parity. Detail the methodologies and tools used.

• System Architecture Diagrams: Include clear diagrams illustrating your design system architecture, including core components, extensions, and the machine-readable layer for AI.

• Governance & Community: Present examples of your governance models, contribution workflows, and how you fostered community adoption. Quantify impact where possible.

• Metrics & ROI: Clearly present the metrics you've tracked and the resulting impact (e.g., efficiency gains, defect reduction, increased reuse). Frame your work in terms of business value and ROI.

• Storytelling: Narrate your projects, explaining the problem, your solution, the challenges faced, and the outcomes achieved, with a strong emphasis on the AI-native aspect.

Challenge Preparation:

• AI-Native Product Development: Be ready to articulate a coherent model for AI-native product development, covering everything from problem framing to automated deployment.

• Systemic Problem Solving: Prepare to tackle complex hypothetical scenarios related to scaling a design system, managing AI outputs, or ensuring compliance in a regulated environment.

• Stakeholder Communication: Practice articulating technical concepts (AI integration, design systems, code parity) to both technical and non-technical audiences.

• Metrics & Measurement: Be prepared to discuss how you would measure the success of the AI-native platform and design system, defining key performance indicators.

📝 Enhancement Note: The interview and portfolio review process will heavily scrutinize candidates' practical experience with AI integration and their ability to architect and lead the development of an AI-native platform. Candidates should prepare to demonstrate a deep understanding of how AI can fundamentally change product development processes.

🛠 Tools & Technology Stack

Primary Tools:

• Design: Figma (primary tool for design, component creation, and potentially as an input for AI).

• Design System Management: Experience with tools or custom solutions for managing tokens, themes, and component libraries.

• AI IDEs: Hands-on experience with modern AI-integrated development environments such as:

  • Cursor
  • Claude Code
  • VS Code (with relevant AI extensions)

• Code Version Control: Git, GitHub/GitLab/Bitbucket.

Analytics & Reporting:

• Metrics Tracking Tools: Tools for monitoring component reuse, system adherence, and performance metrics (e.g., custom dashboards, analytics platforms).

• Data Visualization: Tools to create dashboards and reports for stakeholders (e.g., Tableau, Power BI, Looker, or built-in Figma/code reporting).

CRM & Automation:

• While not a direct CRM role, understanding how the design system integrates with product development workflows and potentially downstream systems (e.g., CI/CD pipelines) is crucial.

• Automation Tools: Experience with scripting, CI/CD pipelines, and workflow automation tools relevant to design and development processes.

• Integration Platforms: Familiarity with how different tools (Design, AI, Code, Documentation) can be integrated to create a seamless platform.

📝 Enhancement Note: The emphasis on specific AI IDEs (Cursor, Claude Code, VS Code) highlights the cutting-edge nature of this role. Candidates should be prepared to discuss their proficiency with these tools and how they integrate them into a cohesive product development platform.

👥 Team Culture & Values

Operations Values:

• Innovation & Future-Forward Thinking: A drive to explore and implement new technologies like AI to revolutionize product development processes.

• Systemic Approach: Valuing interconnectedness, scalability, and the creation of robust, maintainable systems over ad-hoc solutions.

• Collaboration & Community: Fostering an environment where teams share knowledge, contribute to a common platform, and support each other's success.

• Data-Driven Decision Making: Relying on metrics and evidence to guide improvements and measure impact.

• Quality & Safety: Especially critical in a medical device company, ensuring that all processes and outputs meet high standards for reliability, accuracy, and compliance.

• Efficiency & Automation: A commitment to eliminating repetitive work and optimizing processes through technology.

Collaboration Style:

• Cross-Functional Partnership: Working closely with Engineering, Product Management, UX Research, and potentially Quality Assurance and Regulatory Affairs.

• Community Management: Actively engaging with designers and engineers who use or contribute to the design system, providing support, gathering feedback, and facilitating knowledge sharing.

• Federated Model Enablement: Empowering extension teams while maintaining alignment with the core system through clear communication, documentation, and collaborative rituals.

• Transparent Communication: Openly sharing updates, roadmaps, and metrics to keep stakeholders informed and aligned.

📝 Enhancement Note: The values emphasize a blend of technical innovation, strategic thinking, and collaborative execution. The "AI-native" and "product development operating system" mantras will likely be central to the team's ethos, driving a culture of continuous improvement and forward-thinking development.

⚡ Challenges & Growth Opportunities

Challenges:

• AI Integration Complexity: Safely and effectively integrating AI into a heavily regulated medical device development lifecycle, ensuring reliability, compliance, and ethical use.

• Design-to-Code Parity at Scale: Achieving and maintaining true parity between design artifacts and production code, especially with AI-generated outputs.

• Federated Governance: Balancing autonomy for extension teams with the need for consistency and adherence to the core design system and AI framework.

• Cultural Shift: Driving adoption of new AI-native workflows and a systemic mindset across potentially resistant teams.

• Measuring AI Impact: Quantifying the benefits and risks of AI integration in a complex product development environment.

Learning & Development Opportunities:

• Cutting-Edge AI Application: Deepen expertise in applying AI and machine learning directly to design and code generation challenges.

• Advanced Design Systems Strategy: Develop leadership skills in architecting and scaling complex design systems as product development platforms.

• Cross-Disciplinary Expertise: Gain significant experience at the intersection of Design, Engineering, AI, and Product Management in a regulated industry.

• Industry Leadership: Opportunity to become a recognized expert in AI-native product development and design systems.

• Mentorship: Potential to mentor junior designers and engineers, shaping the future of Insulet's development practices.

📝 Enhancement Note: This role presents significant challenges due to the pioneering nature of AI integration within a regulated industry. However, these challenges are directly linked to substantial growth opportunities for individuals looking to shape the future of product development operations.

💡 Interview Preparation

Strategy Questions:

• "Describe your vision for an AI-native product development platform. How would you architect it, and what role would a design system play?"

• "Walk us through a time you successfully implemented AI to automate a significant part of the design or development process. What were the challenges, and how did you measure success?"

• "How do you ensure design-to-code parity, especially when AI is involved in generating code or specifications? What mechanisms would you put in place?"

• "Explain your approach to governing a federated design system. How do you balance core standards with team autonomy, and how would this apply in a regulated context?"

• "What metrics would you prioritize to demonstrate the health and impact of our AI-native design system platform, and why?" Company & Culture Questions:

• "What do you know about Insulet and our mission? How does your experience align with our focus on diabetes care and medical devices?"

• "How do you see your role contributing to Insulet's goal of delivering better products faster and safer for people living with diabetes?"

• "Describe your ideal collaboration style with engineering, product management, and quality/regulatory teams."

• "How do you approach driving adoption of new systems and processes within an organization, particularly when significant change is involved?" Portfolio Presentation Strategy:

• AI First Narrative: Frame your portfolio around your experience with AI integration and building AI-native systems. Start with your most impactful AI-related projects.

• Systemic Blueprint: Use diagrams and clear explanations to illustrate the architecture of systems you've built, emphasizing how AI and design systems interconnect.

• Quantifiable Impact: For each project, clearly articulate the problem, your solution (highlighting AI and design system components), and the measurable outcomes (e.g., time saved, defects reduced, adoption rates).

• Live Demo/Walkthrough: If possible, prepare a brief, focused demonstration of a relevant tool, workflow, or a piece of your work that showcases your AI integration skills or design system capabilities.

• Address Regulatory Context: If you have experience in regulated industries, explicitly connect your work to meeting compliance and safety requirements.

📝 Enhancement Note: Interviewers will be looking for candidates who can articulate a clear, actionable strategy for building an AI-native product development platform. Demonstrating practical experience with AI tools and a deep understanding of system design and governance will be paramount.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Insulet Careers site via the provided URL.

• Portfolio Customization: Tailor your resume and portfolio to prominently feature your experience with enterprise Design Systems, AI integration in product development, and building scalable platforms. Highlight specific projects demonstrating design-to-code parity and AI-driven automation.

• Resume Optimization: Ensure your resume clearly lists AI IDEs (Cursor, Claude Code, VS Code), design tools (Figma), and any relevant coding or automation skills. Use keywords from the job description, such as "AI-native platform," "design systems," "AIDLC," and "federated model."

• Interview Preparation: Practice articulating your "AI-native product development" model. Prepare to discuss specific examples of AI integration, system architecture, governance, and metrics from your portfolio. Be ready to explain how you would approach building such a platform at Insulet.

• Company Research: Thoroughly research Insulet Corporation, its Omnipod platform, and its mission to improve the lives of people with diabetes. Understand the implications of operating in a regulated medical device industry.

⚠️ 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.