Manager (IC), Product Design - Design Systems

📍 Job Overview

Job Title: Manager (IC), Product Design - Design Systems

Company: Capital One

Location: New York, NY; McLean, VA; Richmond, VA

Job Type: Full time

Category: Product Design / Design Systems

Date Posted: 2026-08-19

Experience Level: 5-10 years

Remote Status: On-site

🚀 Role Summary

• This role focuses on the strategic development and governance of design systems, emphasizing the end-to-end lifecycle of component architecture from design tokens to production-ready code.

• It requires a deep understanding of how to integrate AI and automation into design and development pipelines, ensuring cohesive and brand-aligned customer journeys.

• The position involves acting as a technical peer and design catalyst within cross-functional pods, collaborating closely with engineering and enterprise design systems teams.

• Responsibilities include establishing system logic, prompt criteria, and UX frameworks for AI-generated patterns, and performing quality assurance through heuristic evaluations and UX metrics.

• This is a player/coach role, requiring technical mentorship for the design team and leadership in maturing design practices, including contribution governance and upskilling designers.

📝 Enhancement Note: While the job title is "Manager (IC)", indicating an individual contributor role, the responsibilities clearly outline leadership and mentorship duties, suggesting a senior individual contributor with significant influence and team-leading responsibilities within a specific domain. The emphasis on AI and automation signifies a forward-looking role preparing for future interface production paradigms.

📈 Primary Responsibilities

• End-to-End Component Ownership: Build, govern, and maintain scalable UI component libraries and design token schemas across design files and code repositories. Collaborate directly within code repositories with engineering teams, review code for design parity, and contribute foundational front-end updates as needed.

• AI & Automated Interface Governance: Establish and enforce system logic, prompt criteria, and user experience (UX) frameworks to guide AI-generated design patterns, ensuring they align with brand identity and user needs.

• Systems Thinking & Data Architecture: Analyze and map complex technology ecosystems and disparate data schemas to design structurally sound user flows and sophisticated component interactions optimized for both human users and AI agents.

• Cross-Functional Pod Leadership: Serve as the primary design lead within dedicated cross-functional pods, acting as a technical peer to engineers. Partner with Enterprise Design Systems teams to ensure alignment or intentional deviation from macro enterprise standards.

• Quality Assurance & Experience Metrics: Conduct rigorous heuristic evaluations of live digital experiences, establishing clear frameworks and UX metrics to measure the health, adoption, and coherence of system-driven customer journeys.

• Design Community Leadership & Practice Maturation: Act as a player-coach and technical mentor, leading workshops, facilitating onboarding for new product teams, and coaching designers on systemic thinking, technical fluency, and the utilization of advanced design tokens and AI-assisted tools.

• Contribution Governance: Champion and implement a robust contribution governance model that empowers other designers to co-create and evolve the design system while maintaining core integrity and scalability.

📝 Enhancement Note: The primary responsibilities highlight a hybrid role that blends traditional design systems work with emerging AI and front-end engineering collaboration. The emphasis on "end-to-end ownership" and "collaboration directly inside the repo" suggests a hands-on approach requiring strong technical acumen beyond typical design system management.

🎓 Skills & Qualifications

Education: No specific degree is listed, but the experience requirements imply a strong foundation in design principles and technical understanding.

Experience:

• At least 6 years of experience in a Product Design, Systems Design, or Design Engineering role.

• At least 5 years of experience building and scaling multi-level design systems. Required Skills:

• Design Systems Expertise: Proven ability to build, scale, and govern multi-level design systems from foundational elements to complex components.

• Component Architecture: Deep understanding of UI component architecture, including tokenization strategies and lifecycle management.

• Front-End Engineering Collaboration: Strong code literacy with the ability to navigate, review, and collaborate within front-end code repositories (e.g., React, HTML/CSS).

• Systems Thinking: Ability to analyze complex tech ecosystems, map data schemas, and design integrated user flows.

• AI & Automation Integration: Experience or strong understanding of leveraging AI-assisted development tools and workflows for design and implementation.

• UX Frameworks & Governance: Skill in establishing system logic, prompt criteria, and UX frameworks for AI-generated content and automated interfaces.

• Quality Assurance: Proficiency in heuristic evaluations and establishing UX metrics for system health and adoption.

• Technical Mentorship: Demonstrated ability to coach and mentor design teams on technical aspects of design systems and AI tooling.

Preferred Skills:

• Regulated/Premium Ecosystems: Experience within highly regulated, data-heavy, or premium/travel-specific digital environments.

• UI Engineering Artifacts: A strong portfolio showcasing complex systems problem-solving, UI engineering artifacts, and documentation of automated or dynamic layouts.

• AI Tooling Proficiency: Experience with advanced AI tooling or Large Language Model (LLM) workflows (e.g., Claude, automated code generation) within design or development pipelines.

• Accessibility (A11y): Understanding and application of accessibility standards in design and implementation.

• Cross-Functional Pod Dynamics: Experience operating effectively as a core design catalyst within cross-functional teams.

📝 Enhancement Note: The "Preferred Qualifications" strongly emphasize the need for hands-on technical skills, particularly in front-end code and AI tooling. This indicates that candidates are expected to be more than just designers; they need to be technically fluent and comfortable working directly with code and emerging AI technologies.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Design System Maturity: Showcase the evolution and scaling of a design system, detailing its architecture, governance, and impact.

• Component Library Examples: Present examples of UI components, their tokenization, and how they are implemented across various design files and codebases.

• AI-Generated Interface Examples: Include case studies or examples demonstrating the design and governance of AI-generated layouts or patterns, highlighting the logic, prompt criteria, and UX guardrails established.

• Code Repository Collaboration: Provide evidence or describe experiences of collaborating directly within front-end code repositories, including code reviews for design parity and contributions to front-end updates.

• Systems & Data Flow Diagrams: Illustrate your ability to map complex tech ecosystems and data schemas into clear user flows and interaction designs.

• Quality Metrics & Evaluations: Present examples of heuristic evaluations performed on live experiences and the UX metrics defined to measure system adoption and health.

Process Documentation:

• Component Lifecycle Management: Documented processes for building, governing, maintaining, and updating UI components and design tokens.

• AI Governance Frameworks: Clear documentation outlining the logic, prompt criteria, and UX frameworks for AI-native design environments.

• Contribution Governance Model: Detailed framework for how designers can contribute to the system, including contribution guardrails and review processes.

• Onboarding & Enablement Programs: Materials and documentation for upskilling product designers on systemic thinking, technical fluency, and AI-assisted design tooling.

• Accessibility Specifications: Documentation detailing accessibility considerations and mapping for components and user journeys.

📝 Enhancement Note: The portfolio requirements are highly specific, emphasizing practical application of design systems principles within a technical and AI-driven context. Candidates must demonstrate not just design output, but also the underlying processes, technical collaboration, and strategic thinking required to govern complex digital ecosystems.

💵 Compensation & Benefits

Salary Range:

• McLean, VA: $164,800 - $188,100 annually for Manager, Design

• New York, NY: $179,700 - $205,100 annually for Manager, Design

• Richmond, VA: $149,800 - $171,000 annually for Manager, Design

Benefits:

• Health Insurance: Comprehensive health benefits.

• Financial Benefits: A suite of financial benefits designed to support employee well-being.

• Performance-Based Incentive Compensation: Eligibility for performance-based incentives, which may include cash bonuses and/or long-term incentives (LTI).

• Cash Bonus: Potential for discretionary or non-discretionary cash bonuses.

• Long-Term Incentives (LTI): Opportunities for long-term incentive plans.

• Total Well-being Support: Capital One offers a comprehensive, competitive, and inclusive set of benefits that support total well-being.

Working Hours: 40 hours per week (standard full-time).

📝 Enhancement Note: The salary ranges provided are specific to the listed locations and the "Manager, Design" title. The explanation indicates that candidates hired in other locations will have a pay range associated with that specific location. The benefits package is described as comprehensive, with a notable emphasis on performance-based incentives like cash bonuses and LTI, which are common in senior roles within large financial institutions. The methodology for salary estimation is based on the explicit ranges provided in the job description for the specified locations.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services / Technology. Capital One operates as a leading bank and technology company, known for its innovative approach to digital products and customer experiences, particularly within the financial sector.

Company Size: Large enterprise (implied by the scale of operations, multiple locations, and extensive benefits package). This suggests a well-established structure with ample resources and opportunities for cross-functional collaboration.

Founded: Capital One Financial was founded in 1994. This history indicates a company with significant experience and a proven track record in the financial industry, undergoing continuous adaptation to technological advancements and market shifts.

Team Structure:

• Cross-Functional Pods: The role operates within "dedicated cross-functional pods," suggesting an agile team structure where designers, engineers, product managers, and other specialists work collaboratively on specific product areas.

• Reporting Lines: The role is an Individual Contributor (IC) Manager, indicating a senior individual contributor position that likely reports to a Design Lead, Director, or VP of Product Design. It will also involve close collaboration with engineering leads and product management.

• Enterprise vs. Local Systems: The team collaborates with "Enterprise Design Systems teams" to ensure alignment or intentional deviations of local "Premium systems" with broader enterprise standards, highlighting a hierarchical yet collaborative approach to design system governance.

Methodology:

• Human-Centered Design & Advanced Logic: The team operates at the intersection of human-centered design, advanced system logic, and front-end engineering, aiming to deliver scalable and high-quality digital experiences.

• AI-Native Design: A core methodological shift involves transitioning from traditional asset creation to experience auditing, logic planning, and automation coaching for AI-native environments.

• Data-Driven Quality Assurance: The team uses heuristic evaluations and UX metrics to measure the health, adoption, and coherence of system journeys, emphasizing a data-informed approach to quality.

• Systems Thinking & Scalability: Emphasis on navigating complex tech ecosystems and designing for scalability across portfolios.

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

📝 Enhancement Note: Capital One's culture is portrayed as innovative and technology-forward, especially within the financial services sector. The emphasis on "Premium Products and Travel Design" suggests a focus on high-value customer segments and experiences. The "Manager (IC)" title, combined with leadership responsibilities, points to a senior individual contributor role with significant strategic influence and technical depth, rather than direct people management.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a senior individual contributor level, specifically a "Manager (IC), Product Design - Design Systems." This signifies a highly experienced professional who is a subject matter expert in design systems, with a strong technical foundation and leadership capabilities, but without direct reports. They are expected to drive strategy and execution within their domain.

Reporting Structure: The role involves reporting to senior design leadership and acting as a technical peer to engineering within cross-functional pods. Collaboration extends to enterprise design systems teams, indicating a matrixed reporting environment common in large organizations.

Operations Impact: The impact of this role is significant, directly influencing the scalability, consistency, and quality of premium digital experiences across multiple portfolios. By governing the design system and influencing AI-driven design, this role ensures that customer journeys remain cohesive, brand-aligned, and technically sound, ultimately contributing to customer satisfaction and business efficiency.

Growth Opportunities:

• Technical Specialization: Deepen expertise in advanced design systems, AI-assisted design tooling, front-end engineering collaboration, and complex data architecture.

• Strategic Influence: Grow influence within Capital One by shaping the future of design systems and AI integration, potentially leading initiatives that redefine interface production.

• Leadership in Practice Maturation: Develop skills in technical mentorship, community leadership, and driving adoption of new design methodologies and tools across product teams.

• Cross-Functional Leadership: Gain experience leading design initiatives within agile, cross-functional pods, fostering strong partnerships with engineering and product.

• Domain Expertise: Develop specialized knowledge in premium products and travel digital ecosystems, understanding the unique challenges and opportunities within these segments.

📝 Enhancement Note: The "Manager (IC)" title is critical here. It indicates a career path for individual contributors to reach senior leadership levels based on expertise and impact, rather than through traditional management. Growth opportunities focus on deepening technical and strategic expertise within design systems and AI, and influencing broader design practices.

🌐 Work Environment

Office Type: The role is primarily on-site, requiring presence in one of the specified office locations (New York, NY; McLean, VA; or Richmond, VA). This suggests a collaborative office environment where in-person interaction with cross-functional teams is valued.

Office Location(s):

• New York, NY: A major metropolitan hub, offering access to a vibrant tech and design community.

• McLean, VA: A prominent location for Capital One, likely housing significant tech and design operations.

• Richmond, VA: Another key location for Capital One, potentially offering a slightly different pace and cost of living compared to NYC.

Workspace Context:

• Collaborative Environment: The on-site requirement points to a workspace that facilitates direct interaction, brainstorming, and co-creation with engineers, product managers, and other designers within agile pods.

• Technology & Tools: Access to industry-standard design and development tools, including Figma, and likely robust development environments within Capital One's tech infrastructure. The role explicitly mentions working with code repositories and AI tools.

• Team Interaction: Opportunities for frequent interaction with a dedicated cross-functional team, as well as broader engagement with enterprise design systems teams and the design community.

Work Schedule: Standard full-time work hours (estimated 40 hours/week), with an on-site expectation. While not explicitly stated, large tech-forward companies like Capital One often offer some flexibility within the standard work week, but the primary mode is office-based.

📝 Enhancement Note: The on-site requirement is a key differentiator. It suggests that the company prioritizes in-person collaboration, spontaneous problem-solving, and a strong team presence for this role, particularly given its focus on bridging design, code, and AI.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and portfolio to assess experience in design systems, technical skills, and AI/automation relevance.

• Portfolio Presentation & Technical Deep Dive: A session where candidates present their portfolio, focusing on design system achievements, complex problem-solving, and examples of working with code or AI. Expect in-depth questions about their process, decision-making, and technical contributions.

• Cross-Functional Collaboration Simulation/Discussion: Interviews may involve discussions or scenarios demonstrating how candidates collaborate with engineers and product managers, acting as a technical peer and design catalyst.

• Systems Thinking & AI Strategy Assessment: Evaluation of candidates' ability to think systemically, design for complex data schemas, and articulate strategies for governing AI-generated interfaces.

• Cultural Fit & Mentorship: Assessment of leadership potential, mentorship capabilities, and alignment with Capital One's innovative and collaborative culture.

Portfolio Review Tips:

• Highlight End-to-End Ownership: Clearly demonstrate your involvement in the entire lifecycle of components, from tokenization to production code. Showcase contributions within code repositories.

• Showcase AI Integration: Include specific examples or case studies of how you've designed for or governed AI-generated patterns. Detail the logic, prompt criteria, and guardrails you've established.

• Quantify Impact: Wherever possible, use metrics to demonstrate the success of your design system initiatives, such as adoption rates, efficiency gains, or improvements in user experience.

• Technical Fluency: Be prepared to discuss your code literacy (React, HTML, CSS) and experience with AI development tools. If you have UI engineering artifacts, make them prominent.

• Systems & Data Focus: Present diagrams or explanations of how you've tackled complex data schemas and designed integrated user flows.

• Storytelling: Frame your portfolio pieces as problem-solution narratives, explaining the challenge, your approach, the tools/processes used, and the impactful outcome.

Challenge Preparation:

• Design System Audit: Be prepared to analyze an existing component library or design system, identifying areas for improvement in terms of scalability, consistency, accessibility, or AI readiness.

• AI Governance Scenario: You might be asked to outline a strategy for governing AI-generated designs for a specific product feature, including prompt design, logic, and quality checks.

• Code Parity Problem: Given a design and a code snippet, you may need to identify discrepancies and propose solutions for achieving design parity.

• Systemic Problem Solving: Prepare to discuss how you would approach a complex user journey that spans multiple systems or requires integrating data from various sources.

📝 Enhancement Note: The interview process and portfolio review are heavily geared towards technical depth and strategic thinking in the context of design systems and emerging AI technologies. Candidates must be prepared to demonstrate hands-on experience and a forward-looking perspective.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (explicitly mentioned for tokenization and component libraries).

• Design Systems Management: Tools for managing component libraries, design tokens, and style guides.

• Version Control: Git, likely integrated with platforms like GitHub, GitLab, or Bitbucket for code repository collaboration.

• Front-End Development: React, HTML, CSS (required for code literacy and collaboration).

Analytics & Reporting:

• UX Metrics & Performance Tracking: Tools to establish and track UX metrics for system health, adoption, and end-to-end journey coherence (specific tools not mentioned, but likely involve internal Capital One platforms or standard analytics suites).

• Heuristic Evaluation Tools: Methodologies and potentially supporting tools for conducting rigorous heuristic evaluations of live experiences.

CRM & Automation:

• AI-Assisted Development Tools: Experience with tools that leverage AI for accelerating front-end implementation and prototyping.

• LLM Workflows: Familiarity with using Large Language Models (e.g., Claude) within design or development pipelines for tasks like code generation or pattern design.

• Token Pipelines: Implementation and management of design token pipelines that feed into both design tools and front-end code.

📝 Enhancement Note: The technology stack emphasizes a direct link between design tools (Figma), front-end code (React, HTML, CSS), and emerging AI technologies. The role requires fluency in managing design tokens and collaborating within code repositories, indicating a highly integrated workflow.

👥 Team Culture & Values

Operations Values:

• Innovation & Technology Forward: A strong emphasis on embracing new technologies, including generative AI and automation, to redefine interface production and customer experiences.

• Customer Focus & Craftsmanship: A commitment to human-centered design and maintaining an uncompromising standard of craft, ensuring premium digital experiences are both scalable and high-quality.

• Data-Driven Decisions: Utilizing UX metrics and rigorous evaluations to measure the health and effectiveness of design systems and user journeys.

• Collaboration & Partnership: Fostering strong partnerships within cross-functional pods and with enterprise teams to ensure alignment and drive collective success.

• Continuous Improvement & Learning: Encouraging the maturation of design practices through technical mentorship, workshops, and a robust contribution governance model.

Collaboration Style:

• Technical Peer to Engineering: Acting as a direct technical counterpart to engineers, facilitating seamless integration between design and code.

• Player-Coach Mentality: Leading by example and actively contributing while also mentoring and upskilling team members.

• Cross-Functional Integration: Deeply embedded within agile pods, working closely with product managers, engineers, and other stakeholders to achieve shared goals.

• Open Contribution Governance: Encouraging a culture where designers can contribute to the system, balanced with clear guidelines to maintain integrity and scalability.

📝 Enhancement Note: The culture emphasizes a blend of technical innovation, user empathy, and collaborative execution. The "player-coach" and "technical peer" aspects are crucial indicators of how collaboration and leadership are expected to function within this role.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging Design, Code, and AI: Navigating the complex integration of design systems, front-end engineering, and rapidly evolving AI technologies requires continuous learning and adaptation.

• Governing AI-Generated Outputs: Establishing effective rules, data schemas, and guardrails to ensure AI-native environments produce cohesive and brand-aligned customer journeys without compromising quality.

• Scaling Systems in a Large Enterprise: Ensuring that design systems scale seamlessly across multiple portfolios while maintaining alignment with enterprise standards and meeting the specific needs of premium products.

• Mentoring and Upskilling Designers: Effectively coaching traditional product designers on systemic thinking, technical fluency, and the adoption of AI-assisted design tools.

• Maintaining Design Parity: Rigorously ensuring that live experiences accurately reflect the design system, especially when collaborating closely with engineering and managing code contributions.

Learning & Development Opportunities:

• AI in Design & Development: Access to cutting-edge AI tooling and workflows, providing opportunities to become a leader in AI-assisted interface production.

• Advanced Design Systems Architecture: Deepen expertise in complex token pipelines, multi-level system scaling, and governance models.

• Front-End Engineering Integration: Enhance skills in code review, contribution to front-end code, and understanding of UI engineering best practices.

• Strategic Product Design: Develop a deeper understanding of premium product and travel digital ecosystems, influencing high-impact customer journeys.

• Leadership Development: Opportunities to hone technical mentorship, community leadership, and strategic influence skills within a major financial institution.

📝 Enhancement Note: The challenges are directly tied to the innovative nature of the role, particularly its focus on AI and deep technical integration. Growth opportunities are structured to address these challenges by providing avenues for advanced skill development and strategic impact.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to govern a design system component that was being used inconsistently across different product teams. What was your approach, and what was the outcome?"

• "How would you design the 'rules' or 'guardrails' for an AI system that generates website layouts for a premium travel booking experience? What key considerations would you prioritize?"

• "Walk us through a complex user journey you designed. How did you ensure technical feasibility and maintain design parity with front-end engineering?"

• "Imagine you're leading a design system initiative for a new feature. How would you collaborate with engineers and product managers from day one?" Company & Culture Questions:

• "What interests you about Capital One's approach to design and technology, particularly in the premium products/travel space?"

• "How do you stay current with advancements in AI and their application to design and development?"

• "Describe your experience working within cross-functional pods or agile teams. What is your preferred collaboration style?"

• "How do you approach mentoring other designers, especially those less familiar with design systems or technical implementation?" Portfolio Presentation Strategy:

• Structure for Impact: Begin with an executive summary of your most impactful design system project. Clearly state the problem, your role, the solution, and the quantifiable results.

• Deep Dive on Technical Integration: When presenting a project, explicitly detail your involvement with code repositories, token pipelines, and any AI tooling used. Show, don't just tell, your technical contributions.

• Demonstrate AI Governance: For AI-related projects, clearly articulate the logic, constraints, and UX frameworks you designed. Show examples of AI-generated outputs and how they were validated.

• Focus on Systems Thinking: Use diagrams and clear explanations to illustrate how you mapped complex data schemas and designed integrated user flows.

• Be Ready for Code Review Discussions: Prepare to discuss specific code snippets or UI engineering artifacts from your portfolio, explaining design decisions and technical implementations.

• Engage and Ask Questions: Make your presentation interactive. Prepare thoughtful questions about Capital One's current design systems, AI initiatives, and team structure.

📝 Enhancement Note: Interview preparation should focus on demonstrating a blend of deep design systems expertise, practical front-end technical skills, and a strategic understanding of AI's role in future design workflows. The portfolio is the primary vehicle for showcasing this combined skill set.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on Capital One's careers portal.

• Tailor Your Resume: Highlight experience in design systems, component architecture, front-end engineering collaboration (React, HTML, CSS), and any work with AI-assisted development tools or LLM workflows. Quantify achievements with metrics where possible.

• Curate Your Portfolio: Select 2-3 key projects that best showcase your end-to-end design system ownership, AI governance experience, and technical collaboration skills. Ensure it includes examples of code repository interaction, tokenization, and AI-generated pattern design.

• Prepare Your Presentation: Practice presenting your portfolio walkthrough, focusing on clear storytelling, technical details, and the impact of your work. Be ready to discuss your process, decision-making, and how you'd approach challenges specific to Capital One's context.

• Research Capital One: Understand their innovation in financial services, their focus on premium products, and their strategic direction regarding AI and design. Familiarize yourself with their stated values and culture.

⚠️ 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.