Head of Design | TaxDome

📍 Job Overview

Job Title: Head of Design

Company: TaxDome

Location: Remote (European Timezones)

Job Type: Full-Time

Category: Design Leadership / Product Design Operations

Date Posted: August 3, 2026

Experience Level: 6+ Years

Remote Status: Fully Remote

🚀 Role Summary

• Lead and shape an AI-native design organization, integrating artificial intelligence into core design workflows and processes.

• Own and evolve the design system as a product, ensuring it serves as the authoritative source of truth for AI agents generating production-ready code.

• Manage and mentor a team of approximately 8 senior UX Architects, fostering their growth, setting quality standards, and ensuring end-to-end ownership of their respective product domains.

• Drive UX quality and design accountability through robust processes, ensuring work is thoroughly considered before review and that reviews carry significant weight.

• Collaborate strategically with Product, Engineering, Marketing, and CPO leadership to embed design thinking across the entire organization and influence product strategy.

📝 Enhancement Note: While the role title is "Head of Design," the emphasis on design systems as infrastructure, AI-native workflows, and managing senior individual contributors aligns closely with the strategic and operational responsibilities found in senior GTM Operations or Product Operations leadership roles, particularly those focused on process, tooling, and cross-functional efficiency. The role requires a blend of design leadership, strategic operations thinking, and deep technical understanding of AI integration.

📈 Primary Responsibilities

• Design System Product Management: Define and execute the roadmap for the design system, setting the bar for new patterns, ensuring scalability across a multi-surface platform, and maintaining its integrity as the source of truth for AI code generation pipelines.

• AI-Native Workflow Development: Champion AI as the default mode of work, pushing the boundaries of the prototype-to-production loop and optimizing AI integration across the seams of designer-to-engineer and designer-to-product handoffs for faster, more efficient outcomes.

• Team Leadership & Development: Lead, hire, and retain senior UX Architects, focusing on their career growth paths, calibrating quality decisions, setting high standards, and unblocking their architectural initiatives. Measure success by the team's trajectory and the quality of shipped work.

• Process & Quality Assurance: Establish and refine processes that ensure non-negotiable UX quality, promoting thorough work preparation for design reviews and cultivating genuine end-to-end ownership from discovery through post-release analysis.

• Strategic Cross-Functional Collaboration: Participate in the VP of Product's leadership team, working closely with Heads of Product, Analytics, and Research. Influence Engineering, Marketing, and the CPO on design thinking integration and maintain transparent communication regarding priorities, progress, and results.

📝 Enhancement Note: The responsibilities highlight a strong operational focus on process definition, system management, and cross-functional alignment, which are core tenets of Revenue Operations and Sales Operations. The emphasis on owning a "product" (the design system) and driving "workflows" with AI integration directly translates to operations' mandate of optimizing processes and leveraging technology for efficiency.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong foundation in design principles, user experience, and product development is expected. Demonstrated expertise through a portfolio and professional experience will be prioritized over formal educational background.

Experience:

• Minimum of 6 years of experience working on complex B2B or platform products, with a proven ability to handle enterprise-grade UX at scale.

• Significant track record in building or substantially evolving a design system that functions as critical infrastructure for product development. Required Skills:

• Design System Leadership: Proven ability to build, scale, and maintain a design system as a core product, influencing adoption and demonstrating its impact on organizational efficiency.

• AI-Native Workflow Expertise: Hands-on experience with AI tools and methodologies for design, including code-based prototyping with platforms like Claude Code, Cursor, or v0; understanding of agentic patterns, context, critics, and evaluations.

• People Management & Mentorship: Demonstrated success in growing senior individual contributors, providing constructive feedback, and guiding career development trajectories. Experience managing 3+ senior architects is a plus.

• Systems Thinking: A default approach of understanding how components fit into the broader platform and strategic objectives before focusing on aesthetic details.

• B2B/Platform Product Acumen: Deep understanding of the complexities and nuances of designing for enterprise-grade, B2B software platforms.

• Process Design & Optimization: Ability to define, implement, and refine processes that ensure quality, accountability, and efficiency in design execution and collaboration.

• Cross-Functional Collaboration: Proven ability to work effectively with Engineering, Product, Analytics, Research, and Marketing teams, embedding design thinking and influencing strategy.

• English Proficiency: Working proficiency in English for clear communication within a globally distributed team.

Preferred Skills:

• Experience in a bootstrapped, profitable company environment.

• Familiarity with GitHub as a design system repository.

• Experience with AI agent development and deployment in a product context.

• Understanding of product analytics and how to measure design impact.

📝 Enhancement Note: The emphasis on "load-bearing design system track record," "hands-on AI fluency, not curiosity," and "systems thinking as your default" indicates a need for candidates who not only understand design but can operationalize it as a strategic function. This mirrors the expectations for operations leaders who must demonstrate deep functional expertise and a strategic, systems-level approach to problem-solving.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Design System Case Study: A detailed example of building or significantly evolving a design system. This should include:

  • The problem statement and strategic goals.
  • The architecture and components developed.
  • How it was adopted by teams and engineers.
  • Measurable outcomes and impact on development velocity, consistency, and quality.

• AI-Driven Design Workflow Example: A case study demonstrating hands-on experience with AI in the design process, such as:

  • Using AI for code generation (e.g., Claude Code, Cursor, v0).

• Implementing agentic patterns or developing AI agents for design tasks.

• Showcasing the iterative loop from concept to production with AI assistance.

• Leadership & Process Examples: Evidence of leading design initiatives, managing senior ICs, and establishing quality/review processes. This could include:

  • Examples of growth conversations or feedback provided to senior designers.
  • A description of a process implemented to improve design review effectiveness or end-to-end ownership.

• Complex B2B/Platform Product Experience: Showcase work on sophisticated products, illustrating an understanding of enterprise-grade UX challenges and solutions.

Process Documentation:

• Candidates should be prepared to discuss how they would document and iterate on design processes, particularly those related to the design system and AI workflows.

• Be ready to articulate how they would measure the health and impact of the design system and AI integrations, potentially through metrics related to adoption, efficiency, and code generation quality.

📝 Enhancement Note: The detailed requirements for a portfolio, particularly focusing on design systems as infrastructure and AI-driven workflows, are directly analogous to the process and system documentation expected in operations roles. Operations professionals are often required to present case studies on CRM implementation, process automation, or sales playbook development, demonstrating tangible improvements and strategic thinking.

💵 Compensation & Benefits

Salary Range:

Based on industry benchmarks for Head of Design roles in fully remote, European timezone-aligned companies with a focus on advanced technology and AI integration, and considering the 6+ years of experience requirement, a competitive salary range is estimated.

• Estimated Range: €120,000 - €180,000 annually (or equivalent in USD/GBP depending on candidate's primary tax residency within European timezones).

Benefits:

• Fully Remote Work: Freedom to work from anywhere within European timezones, promoting work-life balance and global team integration.

• AI-Native Environment: Opportunity to work at the forefront of AI integration in design and product development, shaping how an entire company leverages AI.

• Profitable, Bootstrapped Company: Stability and autonomy, free from external VC pressures, allowing for a focus on engineering excellence and product quality.

• Impactful Role: Significant influence on the design organization's strategy, processes, and future direction, rather than executing pre-defined plans.

• Senior Leadership Team Involvement: Direct participation in strategic discussions with VP of Product and other department heads.

• Global, Senior Team: Collaboration with a distributed team of experienced professionals.

Working Hours:

• While the role is full-time, the emphasis on European timezones and remote work suggests flexibility. Standard full-time hours (approximately 40 hours per week) are expected, with the understanding that collaboration across different regions may require occasional adjustments. The focus is on output and impact rather than strict adherence to a 9-to-5 schedule.

📝 Enhancement Note: The salary estimate is derived from research on similar "Head of Design" or "Director of Design" roles in tech companies, particularly those emphasizing AI and B2B platforms, located in or operating within European timezones. Factors considered include the seniority of the role, the company's bootstrapped and profitable status (often indicating strong financial health and ability to offer competitive compensation), and the high-demand nature of AI-related design leadership.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software / SaaS (specifically, a platform for accounting professionals). The company is at the cutting edge of integrating AI into its product and development processes.

Company Size: While not explicitly stated, the mention of "roughly 8 senior UX Architects" and a "VP of Product's leadership team" suggests a mid-sized to large tech company, likely with a significant engineering and product development footprint. The "profitable, bootstrapped" nature implies sustainable growth and a focus on long-term value over rapid, VC-fueled expansion.

Founded: The company's founding date is not provided, but the narrative suggests it is established enough to have a mature product and is now undergoing a significant transformation by rebuilding around AI.

Team Structure:

• Design Organization: Led by the Head of Design, this team comprises approximately 8 senior UX Architects, each embedded within specific product domains.

• Product Leadership Team: The Head of Design will sit on this team alongside the Heads of Product, Analytics, and Research, indicating a highly collaborative and integrated product development environment.

• Cross-Functional Collaboration: The role requires extensive collaboration with Engineering, Marketing, and the Chief Product Officer (CPO), ensuring design thinking permeates company-wide product development efforts.

Methodology:

• AI-First Approach: The company's core philosophy is rebuilding its product and workflows around AI, making it the default mode of operation.

• Design System as Infrastructure: The design system is treated as critical infrastructure, managed like a product, and serves as the source of truth for AI agents generating code.

• End-to-End Ownership: Designers are expected to own their experiences from concept through post-release analysis, fostering deep accountability.

• Data-Driven Iteration: Iteration occurs against live, production-grade prototypes, and post-release analysis is a key component of the ownership cycle.

• Open Communication: Transparency in priorities, progress, and results is a stated operational value.

Company Website: https://www.taxdome.com/ (Based on general knowledge of TaxDome, though the job is posted via hirehire.me)

📝 Enhancement Note: The description of TaxDome's culture as "AI-native" and "rebuilt everything around it" is highly relevant to operations professionals. Many companies are now looking to integrate AI into their GTM, Sales, and RevOps processes. This role offers a unique opportunity to lead such a transformation in a design context, providing transferable insights into AI adoption for operations.

📈 Career & Growth Analysis

Operations Career Level: This role represents a senior leadership position, equivalent to a Director or VP level in a traditional organizational structure, specifically within the design function. It's a strategic leadership role focused on building and scaling a critical function (design) within an AI-first company. For operations professionals, this level signifies ownership of a significant functional area, direct impact on product development strategy, and leadership of a specialized team.

Reporting Structure: The Head of Design reports directly to the VP of Product. This reporting line places design leadership at the executive product strategy table, ensuring design considerations are integrated early and effectively into product planning. This is a common structure for impactful design leaders and mirrors how heads of operations often report to C-suite executives.

Operations Impact: The impact of this role is profound and multifaceted:

• Product Innovation: Driving the AI-native transformation of the design process directly influences the pace and quality of product innovation.

• Developer Efficiency: A robust, AI-powered design system significantly enhances engineering productivity by providing production-ready code and consistent components.

• User Experience Quality: Ensuring high UX standards across a complex platform directly impacts customer satisfaction, adoption, and retention, which are key metrics for revenue operations.

• Organizational Scalability: Building scalable design processes and systems ensures the company can grow its product offerings and user base efficiently.

• Talent Development: Cultivating senior design talent creates a strong internal capability and a pipeline for future leadership.

Growth Opportunities:

• Strategic Leadership: Opportunity to influence and shape the future of AI integration in product development across the entire company, not just within design.

• Functional Expansion: Potential to expand the scope of the design organization or influence related operational areas as the company scales its AI initiatives.

• Deep AI Expertise: Becoming a recognized leader in AI-native product development and design systems, a highly sought-after skill set.

• Mentorship & Impact: Direct impact on the growth and success of senior individual contributors, building a legacy of talent development.

• Industry Influence: Contributing to the evolving landscape of design and AI, potentially through thought leadership or speaking engagements.

📝 Enhancement Note: The analysis emphasizes the strategic nature of the role, its impact on core business functions (innovation, efficiency, user experience), and the leadership development aspect. This is directly transferable to understanding the career trajectory and impact of senior operations leaders who drive efficiency, data utilization, and GTM strategy.

🌐 Work Environment

Office Type: Fully remote, with a primary focus on European timezones. This indicates a distributed team culture that relies heavily on digital collaboration tools and asynchronous communication practices.

Office Location(s): No physical office is specified; the role is entirely remote and geographically flexible within European timezones. This offers significant autonomy and work-life integration for the selected candidate.

Workspace Context:

• Digital Collaboration Focus: The work environment is optimized for remote collaboration, likely utilizing tools such as Slack, Zoom, Figma, GitHub, and project management software.

• AI-Powered Tools: Access to and utilization of advanced AI tools for design and development is a core aspect of the workspace, enabling faster iteration and higher quality output.

• Cross-Functional Interaction: Opportunities for interaction will be primarily virtual, involving close collaboration with product managers, engineers, researchers, and other design architects through scheduled meetings and ongoing digital communication channels. The emphasis is on structured, goal-oriented interaction.

• Autonomy and Ownership: The remote and AI-native nature of the environment fosters a high degree of autonomy, with individuals expected to manage their time effectively and deliver on their responsibilities.

Work Schedule:

• Full-time employment with flexibility for individuals working within European timezones. While core hours may be necessary for synchronous collaboration, the remote setup typically allows for adaptable scheduling to balance personal needs with team requirements and project deadlines. The focus is on delivering results and maintaining communication across the distributed team.

📝 Enhancement Note: The description of a "real remote" environment within specific timezones, emphasizing digital collaboration and autonomy, is common for many modern tech roles, including operations. This context helps candidates understand the day-to-day operational realities and the communication norms they can expect.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: A review of your resume and portfolio by the hiring team to assess alignment with the core requirements, particularly design system experience and AI fluency.

2. Hiring Manager Interview: A conversation with the VP of Product to discuss your leadership philosophy, strategic vision for AI in design, and experience managing senior teams. Portfolio walkthroughs of key projects will likely be requested.

3. Team & Cross-Functional Interviews: Meetings with potential direct reports (senior UX Architects) and peers (Heads of Product, Engineering, etc.) to assess collaboration style, leadership approach, and cultural fit. Expect discussions around your process for quality assurance and design system management.

4. Design & AI Challenge: A practical exercise, potentially involving a case study or problem-solving scenario related to AI-native design workflows or design system evolution. This may involve presenting your approach and rationale.

5. Final Round / Executive Interview: A final discussion to confirm fit, address any remaining questions, and finalize the offer.

Portfolio Review Tips:

• Highlight AI Integration: Clearly showcase projects where you've used AI tools or developed AI-driven workflows. Explain the specific AI technologies used, your role, and the impact achieved.

• Design System Depth: Dedicate a significant portion of your portfolio to your design system experience. Detail its architecture, governance, adoption strategies, and measurable outcomes (e.g., reduction in development time, increase in consistency).

• Leadership & Process Examples: Include examples that demonstrate your ability to lead senior ICs, provide mentorship, and implement effective design processes (e.g., design reviews, quality checks, end-to-end ownership frameworks).

• B2B/Platform Focus: Ensure your showcased work reflects experience with complex B2B or platform products, demonstrating an understanding of enterprise-level design challenges.

• Quantify Impact: Whenever possible, use metrics and data to demonstrate the success of your projects, especially concerning efficiency gains, adoption rates, and quality improvements.

• Storytelling: Frame your projects as narratives – problem, solution, execution, and impact – making them engaging and easy to follow.

Challenge Preparation:

• AI Workflow Simulation: Be prepared to discuss hypothetical scenarios involving AI integration into design-to-engineering handoffs, agentic pattern design, or leveraging AI for prototyping.

• Design System Scalability: Think about how you would scale a design system for a complex, multi-surface platform and maintain its integrity as the source of truth for AI agents.

• Leadership Scenarios: Prepare for questions about managing underperformers, motivating senior ICs, setting quality standards, and fostering a culture of ownership.

• Strategic Thinking: Practice articulating your vision for AI in design and how you would embed design thinking across a company.

📝 Enhancement Note: The detailed breakdown of the interview process and specific portfolio advice is crucial for operations candidates. Many operations roles involve similar stages, including screening, leadership interviews, cross-functional discussions, and potentially case studies or problem-solving exercises. The emphasis on demonstrating process, strategy, and measurable impact is directly applicable.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (highly likely for collaborative design and prototyping), potentially Sketch or Adobe XD.

• Design System Management: GitHub (explicitly mentioned as the design system repository), Storybook (common for component documentation and development).

• AI/Code-Based Prototyping: Claude Code, Cursor, v0, or similar AI coding assistants/platforms.

• Collaboration & Communication: Slack, Zoom, Google Workspace (or similar for document sharing and communication).

• Project Management: Jira, Asana, Trello, or similar tools for workflow tracking and task management.

Analytics & Reporting:

• While not explicitly stated for design, the Head of Design will collaborate with Heads of Analytics and Research. This implies familiarity with how design impacts key business metrics and an ability to interpret data related to user behavior and product performance. CRM & Automation:

• Not directly relevant to the Head of Design role, but understanding how design impacts user journeys within B2B platforms (often supported by CRM and marketing automation) is beneficial.

📝 Enhancement Note: The specific mention of GitHub as a design system repository and AI coding tools like Claude Code and Cursor is critical. For operations professionals, understanding the technology stack of related departments (like design and engineering) is vital for effective cross-functional collaboration and identifying opportunities for process integration and automation. This highlights the importance of understanding the tools used by teams you'll be interacting with.

👥 Team Culture & Values

Operations Values:

• AI-Centricity: A core value is embracing AI not as an add-on, but as fundamental to how work is done, driving innovation and efficiency.

• Product Ownership: A strong emphasis on designers taking full ownership of their domains from concept to post-release, fostering accountability and a sense of responsibility for outcomes.

• Quality & Rigor: Maintaining a high bar for UX quality and design execution, with processes in place to ensure thoroughness and impact.

• Systems Thinking: Valuing a holistic approach to problem-solving, considering how designs and systems integrate into the broader platform and business objectives.

• Collaboration & Transparency: Open communication and strategic partnership across product, engineering, and other departments are essential for success.

• Continuous Improvement: An ongoing commitment to iterating on processes, systems, and workflows to drive greater efficiency and effectiveness.

Collaboration Style:

• Integrated & Cross-Functional: Collaboration is expected to be deep and integrated with Product, Engineering, Analytics, and Research teams, particularly within the VP of Product's leadership group.

• AI-Augmented: Communication and workflow tools are likely augmented by AI, facilitating smoother handoffs and information sharing.

• Remote-First: Relies on asynchronous communication, clear documentation, and structured virtual meetings to maintain alignment and progress.

• Feedback-Oriented: The emphasis on design reviews and post-release analysis suggests a culture that values constructive feedback for continuous improvement.

📝 Enhancement Note: These values—AI-centricity, ownership, quality, systems thinking, collaboration, and continuous improvement—are highly congruent with the core values of effective Revenue Operations, Sales Operations, and GTM Operations teams. Understanding these values helps candidates tailor their responses and demonstrate alignment.

⚡ Challenges & Growth Opportunities

Challenges:

• Scaling AI-Native Workflows: Ensuring the design system and AI pipelines can scale effectively as the company and its product offerings grow.

• Maintaining Design Quality at Speed: Balancing the rapid pace of AI-driven development with the need for high-quality, user-centric design.

• Talent Acquisition & Retention: Finding and keeping senior UX Architects with rare profiles (strong design systems, AI fluency, B2B experience) in a competitive market.

• Cross-Functional Alignment on AI Strategy: Ensuring consistent understanding and adoption of AI-native principles across different departments.

• Evolving AI Landscape: Staying ahead of rapid advancements in AI technology and integrating new capabilities effectively into the design process.

Learning & Development Opportunities:

• Deep Dive into AI Product Development: Gaining unparalleled experience in building products and workflows around AI, becoming a leader in this emerging field.

• Strategic Leadership Development: Refining skills in executive-level collaboration, influencing organizational strategy, and managing high-performing teams.

• Design System Evolution: Opportunities to innovate and push the boundaries of what a design system can achieve, especially when integrated with AI.

• Industry Thought Leadership: Potential to contribute to the discourse on AI in design and product development through speaking, writing, or community involvement.

• Mentoring Senior Talent: Developing leadership expertise by guiding and growing highly skilled UX Architects.

📝 Enhancement Note: Identifying potential challenges and growth opportunities is a key part of operations role preparation. Operations leaders often face challenges related to data integration, process adoption, tool implementation, and cross-functional alignment, all of which require strategic thinking and continuous learning, mirroring the opportunities presented here.

💡 Interview Preparation

Strategy Questions:

• "How would you approach evolving our design system to serve as the primary source of truth for AI agents generating production code?"

• "Describe your strategy for embedding AI as the default mode of work within a design team, and how you would measure its impact on efficiency and quality."

• "What processes would you implement to ensure non-negotiable UX quality and cultivate end-to-end ownership among senior designers?"

• "How do you envision your role on the VP of Product's leadership team, and what specific contributions would you make to cross-functional product strategy?" Company & Culture Questions:

• "Based on what you know about TaxDome's AI-first approach, how would you ensure our design culture supports and drives this vision?"

• "How do you foster a collaborative environment with engineering and product teams, especially in a remote setting?"

• "Describe a time you had to influence stakeholders outside of your direct team to adopt a new design process or system." Portfolio Presentation Strategy:

• Structure Your Narrative: For each key project (design system, AI workflow), clearly articulate the business problem, your strategic approach, the specific AI tools or design system components used, your leadership role, the execution details, and the quantifiable results.

• Emphasize AI & Systems: Dedicate significant time to explaining your AI fluency and your experience with design systems as infrastructure. Be ready to detail the technical considerations and trade-offs.

• Showcase Leadership: Use examples from your portfolio or your career history to illustrate how you’ve managed, mentored, and grown senior individual contributors.

• Quantify Impact: Be prepared to discuss metrics related to efficiency, adoption, quality, and ROI. For example, "Our design system reduced component development time by X%," or "AI-assisted prototyping increased iteration speed by Y%."

• Address the "Why": Beyond the "what" and "how," be ready to articulate the "why" behind your decisions – your strategic rationale and how it aligns with business goals.

📝 Enhancement Note: The sample questions and portfolio presentation strategy are designed to prompt candidates to think about how they would demonstrate their operations-centric skills—strategic thinking, process definition, cross-functional alignment, and impact measurement—even within a design context.

📌 Application Steps

To apply for this operations-aligned design leadership position:

• Submit your application through the provided link on Ashby.

• Portfolio Customization: Tailor your portfolio to prominently feature your experience with design systems and AI-driven workflows. Showcase specific examples of how you've operationalized design processes for efficiency and scalability.

• Resume Optimization: Ensure your resume highlights keywords such as "design systems," "AI-native workflows," "B2B product design," "people leadership," "process optimization," and "cross-functional collaboration." Quantify your achievements wherever possible.

• Interview Preparation: Practice articulating your strategic vision for AI in design, your leadership philosophy, and your approach to managing and scaling design operations. Prepare specific case studies that demonstrate your ability to drive impact.

• Company Research: Deeply understand TaxDome's AI-first mission, its product for accounting professionals, and its bootstrapped, profitable operational model. Consider how your design leadership can contribute to these specific business objectives.

⚠️ 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.

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