Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer
Company: Bullish
Location: London, United Kingdom / Hong Kong
Job Type: FULL_TIME
Category: Product Design / FinTech Operations
Date Posted: 2026-05-12
Experience Level: 5-10 Years
Remote Status: On-site

🚀 Role Summary

• Spearhead the end-to-end design of complex, data-rich trading interfaces and financial tools within the digital asset space, focusing on spot and derivatives trading, portfolio management, and market analysis.
• Drive product strategy and execution by translating deep domain expertise in trading workflows into intuitive and powerful user experiences, acting as a strategic partner to Product Managers and Engineers.
• Integrate AI/LLM tools as a fundamental part of daily design workflows, pushing the boundaries of AI-assisted design for rapid prototyping, research synthesis, and design-to-code generation.
• Own the complete product lifecycle from problem framing and user research through high-fidelity design, prototyping, developer handoff, and visual quality assurance, ensuring production-ready deliverables.
• Evolve and maintain a robust design system tailored for trading data, charts, order entry, and real-time displays, ensuring consistency, scalability, and efficiency across the platform.

📝 Enhancement Note: While the title is "Senior Product Designer," the emphasis on "trading platforms," "exchange products," "professional financial tools," and "domain expertise" strongly indicates a specialization within FinTech operations, specifically focusing on the user experience of trading platforms. The deep integration of AI/LLM tools also positions this role at the forefront of operational efficiency within design.

📈 Primary Responsibilities

• Own the complete design lifecycle for complex, data-intensive trading interfaces, including spot and derivatives trading platforms, portfolio management systems, order entry interfaces, and market analysis tools.
• Translate profound understanding of professional trader workflows, order books, market microstructure, and real-time data into strategic design decisions that influence product roadmap and feature prioritization.
• Leverage AI/LLM tools (e.g., Claude, Gemini, Figma AI) daily for accelerated design processes, including AI-powered rapid prototyping, LLM-driven user research synthesis, scalable design variation generation, and seamless design-to-code workflows.
• Drive product initiatives from initial problem definition and user research through high-fidelity design, interactive prototyping, meticulous developer handoff, and comprehensive visual quality assurance (QA) to ensure production quality.
• Act as a strategic partner to Product Managers, Engineers, and Data Scientists, contributing to strategy formulation, prioritization discussions, and critical tradeoff decisions grounded in user insights, domain knowledge, and market understanding.
• Develop, maintain, and evolve the company's design system, creating reusable components and patterns specifically for trading data tables, advanced charting, order entry forms, and dynamic real-time data visualizations.
• Champion trader insights and domain expertise within the organization, effectively communicating user research findings, competitive analysis, and market dynamics to cross-functional teams and leadership.
• Contribute to the refinement and documentation of design processes, reusable design libraries, and best practices, with a particular focus on developing AI integration playbooks for design workflows.

📝 Enhancement Note: The responsibilities highlight a blend of core product design and operations-focused execution. The emphasis on "end-to-end design," "strategy," "prioritization," and "developer handoff" points to a need for process ownership and efficiency, characteristic of operations roles. The requirement to "evolve our design system" also touches upon system maintenance and standardization, key operational tasks.

🎓 Skills & Qualifications

Education: Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field, or equivalent practical experience.
Experience: Minimum of 5 years of professional experience in product design, with a significant portion dedicated to complex, data-driven products, specifically within trading platforms, exchange products, or professional financial tools.

Required Skills:

• 5+ years of experience designing complex, data-rich products, with a non-negotiable core requirement in trading platforms, exchange products, or professional financial tools.
• Deep, fluent domain expertise in trading and exchange products, including a thorough understanding of order types, market microstructure, liquidity dynamics, charting, portfolio analytics, and professional trader workflows.
• Demonstrated daily, professional use of AI/LLM tools in design practice (e.g., Claude, Gemini, Figma AI), with the ability to showcase integration and impact on design workflows.
• High level of agency and proactivity; ability to identify critical tasks, make informed decisions with incomplete information, and overcome blockers independently.
• Strong portfolio showcasing shipped trading or financial products that highlight the ability to manage complexity, information density, and real-time data while maintaining high usability and craft.
• Proven ability to conduct and leverage user research, competitive analysis, and domain knowledge to inform strategic design decisions and influence product direction.
• Expert-level proficiency in Figma and experience with modern prototyping tools for creating high-fidelity interactive designs.
• Excellent written and verbal communication skills, with the ability to articulate design rationale effectively to diverse audiences including engineers, product managers, leadership, and traders.
• Proven ability to influence stakeholders and advocate for design decisions supported by robust research and user insights.
• Experience working within Agile development environments and collaborating closely with cross-functional teams across different global time zones.
• Ability to thrive in fast-paced, ambiguous environments, driving clarity and structure.
• Results-oriented mindset with a passion for creative problem-solving, collaboration, and user pain point resolution.

Preferred Skills:

• Experience with Claude (specifically Design/Code products) or equivalent AI design tools.
• Systems thinking capabilities, with the ability to design holistically across interconnected product ecosystems and workflows.
• Experience working in the digital asset or cryptocurrency industry.
• Familiarity with design-to-code workflows and best practices.

📝 Enhancement Note: The explicit requirement for "5+ years designing complex, data-driven products with significant experience on trading platforms, exchange products, or professional financial tools" and "Deep, fluent domain expertise in trading and exchange products" underscores the specialized nature of this role. The emphasis on AI/LLM tool usage is also a critical differentiator, pointing towards an operations-focused approach to efficiency and innovation in design.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end case studies for complex, data-rich trading interfaces and financial products, demonstrating problem framing, user research, ideation, design execution, and validated outcomes.
• Highlight specific examples of how AI/LLM tools were integrated into the design process to accelerate workflows, generate insights, or improve design quality, with quantifiable results where possible.
• Include examples of components and patterns designed for trading data tables, real-time charts, order entry forms, and other financial data visualizations, demonstrating an understanding of information density and usability.
• Present work that illustrates a strong systems thinking approach, showing how individual features connect to a broader product ecosystem and contribute to a cohesive user experience across the platform.

Process Documentation:

• Provide evidence of designing and evolving design systems, including components, patterns, and guidelines, with a focus on scalability and consistency for trading platforms.
• Demonstrate experience in contributing to and refining design processes, libraries, and best practices, particularly those related to AI integration and efficient workflow execution.
• Showcase an ability to conduct and synthesize user research, competitive analysis, and domain knowledge into actionable design insights and strategic recommendations.
• Illustrate proficiency in developer handoff and visual QA processes, ensuring high-quality implementation of designs in production environments.

📝 Enhancement Note: The portfolio requirements are heavily geared towards demonstrating operational proficiency in design. The emphasis on "end-to-end case studies," "AI/LLM integration," "design systems," and "process refinement" points to a need for candidates who can not only design but also optimize and standardize design operations.

💵 Compensation & Benefits

Salary Range: For a Senior Product Designer with 5-10 years of experience in London, UK, the estimated salary range is £70,000 - £100,000 per annum. For Hong Kong, the estimated range is HK$700,000 - HK$1,000,000 per annum. These ranges reflect the specialized domain expertise, significant AI integration experience, and the demands of working on complex trading platforms.

Benefits:

• Comprehensive health, dental, and vision insurance plans.
• Generous paid time off (PTO) and holiday allowances, designed to support work-life balance.
• Opportunities for professional development, including access to training, conferences, and further education relevant to product design and FinTech.
• Equity/Stock options, offering a stake in the company's growth and success.
• Retirement savings plan with employer matching contributions.
• Potential for bonuses based on individual and company performance.
• Employee assistance programs for mental health and well-being support.

Working Hours: Standard full-time working hours are expected to be around 40 hours per week. While the role is on-site, flexibility may be offered depending on team needs and project deadlines, particularly when collaborating across global time zones.

📝 Enhancement Note: Salary estimates are based on industry benchmarks for Senior Product Designers in London and Hong Kong, adjusted upwards to account for the highly specialized FinTech/trading platform domain expertise and the mandatory AI/LLM integration requirement. The benefits listed are standard for senior tech roles and are tailored to support professionals in demanding, fast-paced environments.

🎯 Team & Company Context

🏢 Company Culture

Industry: Digital Assets, FinTech, Financial Services, Cryptocurrency Exchange, Media & Data Services. Bullish operates at the intersection of traditional finance and emerging digital asset markets, providing regulated exchange infrastructure, data analytics, and media insights. This dynamic industry requires a high degree of adaptability, innovation, and regulatory awareness. Company Size: Bullish is a growing organization, likely falling into the 201-500 or 501-1000 employee range, indicating a dynamic environment with opportunities for impact but also requiring strong personal initiative and process adherence. Founded: Bullish was founded in 2021, making it a relatively young company. This suggests a culture that is likely still evolving, with a strong emphasis on building foundational processes and scaling rapidly. The acquisition of CoinDesk in 2022 further diversifies its operations and market reach.

Team Structure:

• The Product Design team is part of a larger Product organization, likely comprising Product Managers, Engineers, and Data Scientists. The Senior Product Designer reports to a Manager, Product Design, indicating a hierarchical structure within the design function.
• Collaboration is expected to be cross-functional, with designers working closely with Product Managers on strategy and requirements, and with Engineers on implementation and technical feasibility.
• The team is global, with members likely spread across London, Hong Kong, and potentially other locations, necessitating strong asynchronous communication and collaboration practices.

Methodology:

• Data-Driven Design: Emphasis on user research, market analysis, and performance metrics to inform design decisions and validate product effectiveness.
• Agile Development: Workflows are likely structured around Agile methodologies, requiring iterative design cycles, close collaboration with development teams, and adaptability to changing priorities.
• AI-Native Design Culture: A core aspect of Bullish's methodology is the deep integration of AI/LLM tools into the design process, aiming for increased efficiency, rapid iteration, and novel design solutions.
• Systems Thinking: A focus on designing holistically, ensuring that individual product features and components contribute to a cohesive and scalable overall platform experience.

Company Website: https://bullish.com/

📝 Enhancement Note: The company context highlights a fast-paced, innovative environment within the rapidly evolving digital asset space. The emphasis on "regulated exchange infrastructure" and "institutionally focused" suggests a need for design that prioritizes trust, security, and clarity. The integration of AI as a core methodology is a significant differentiator.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior Product Designer, indicating a mid-to-senior level of individual contributor. It requires not only strong craft and execution but also the ability to influence product strategy, mentor junior designers, and take ownership of complex problem spaces. In an operations context, this means being a key player in optimizing design workflows and contributing to the efficiency of product development. Reporting Structure: The Senior Product Designer reports to a Manager, Product Design. This implies a clear reporting line and opportunities to learn from experienced design leadership. The role will likely involve collaborating closely with Product Managers and Engineering Leads on a day-to-day basis. Operations Impact: The Senior Product Designer will have a direct and significant impact on Bullish's competitive positioning by designing the core trading interfaces that institutional and professional traders rely on. Excellence in design directly translates to user trust, platform adoption, trading volume, and overall revenue generation for the exchange. The integration of AI also aims to drive operational efficiency within the design function itself.

Growth Opportunities:

• Design Leadership: Potential to grow into a Lead Product Designer or Design Manager role, taking on more strategic oversight, team management, and process ownership.
• Specialization: Deepen expertise in specific areas of FinTech product design, such as high-frequency trading interfaces, complex data visualization, or AI-driven trading tools.
• Cross-Functional Advancement: Opportunities to move into Product Management roles by leveraging deep product understanding and strategic thinking, or into operations-focused roles related to design systems, process optimization, or design tooling.
• AI Design Innovation: Become a recognized expert in AI-assisted design within the FinTech industry, leading initiatives for AI tool adoption and workflow innovation.

📝 Enhancement Note: The growth analysis emphasizes how a Senior Product Designer role, especially one with operational responsibilities like AI integration and design system evolution, can lead to leadership opportunities within design or adjacent operations functions.

🌐 Work Environment

Office Type: The role is explicitly stated as "On-site," indicating a preference for in-office collaboration and a structured work environment. This suggests that the company values face-to-face interaction, brainstorming, and team cohesion. Office Location(s): The primary office locations mentioned are London, United Kingdom, and Hong Kong. Candidates will likely be based in one of these major financial and tech hubs. Accessibility and local amenities in these areas are generally excellent.

Workspace Context:

• Collaborative Environment: The on-site requirement points to a workspace designed for collaboration, with meeting rooms, common areas, and potentially open-plan seating to encourage interaction between design, product, and engineering teams.
• Operational Tools & Technology: Designers will have access to industry-standard design software (Figma, prototyping tools), and importantly, will be expected to utilize and potentially help shape the AI/LLM tools integrated into the workflow. This may include access to specific AI platforms or custom integrations.
• Team Interaction: Regular opportunities for direct interaction with colleagues, including designers, product managers, engineers, and potentially traders or other end-users, facilitating quick feedback loops and shared understanding.

Work Schedule: The standard 40-hour work week is expected, but the nature of trading platforms and global operations may require some flexibility to accommodate urgent issues, critical releases, or collaboration with teams in different time zones. The on-site nature generally implies more predictable hours compared to fully remote roles, but efficiency is still paramount.

📝 Enhancement Note: The "On-site" work arrangement is a key operational detail, suggesting a preference for traditional workplace dynamics. The mention of global collaboration implies that team members will need to be mindful of different time zones even within an on-site context.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely review applications and portfolios, focusing on domain expertise in trading platforms and demonstrated AI/LLM tool usage.
• Design Challenge/Portfolio Review: Candidates will likely present their portfolio, walking through 1-2 case studies that showcase their end-to-end design process for complex financial products. A specific design challenge simulating a trading platform problem may be given.
• Hiring Manager Interview: Deeper dive into experience, approach to complex problems, strategic thinking, and AI integration methodology.
• Cross-Functional Interviews: Meetings with Product Managers and Engineering Leads to assess collaboration style, technical understanding, and ability to work within Agile teams.
• Final Round: Potential interview with senior leadership to discuss cultural fit, leadership potential, and overall impact.

Portfolio Review Tips:

• Curate Strategically: Select 1-2 case studies that most powerfully demonstrate your expertise in trading platforms and your unique approach to AI-assisted design.
• Tell a Story: Structure your case studies with a clear narrative: the problem, your role, your process (emphasizing research, strategy, and AI integration), the solutions, and the measurable outcomes/impact.
• Highlight AI Integration: Explicitly detail how you used AI/LLM tools, what the impact was (e.g., saved time, improved iteration speed, unlocked new ideas), and why you chose those specific tools. Show, don't just tell.
• Demonstrate Domain Fluency: Use precise terminology related to trading, order books, market data, and financial workflows. Show you understand the nuances of the user's problem space.
• Focus on Outcomes: Quantify impact whenever possible. For trading platforms, this could relate to improved trade execution speed, reduced error rates, increased user engagement, or enhanced data comprehension.
• Prepare for Questions: Be ready to discuss tradeoffs, design decisions, stakeholder management, and your vision for AI in design.

Challenge Preparation:

• Understand the Domain: Refresh your knowledge of trading platform functionalities, order types, and common user pain points.
• Simulate AI Use: Practice using AI tools to quickly generate ideas, user flows, or even wireframe components relevant to trading scenarios.
• Structure Your Approach: Prepare a framework for tackling design challenges, including problem definition, user empathy, ideation, prototyping, and validation.
• Articulate Tradeoffs: Be ready to discuss the pros and cons of different design solutions, especially concerning complexity, real-time data, and user experience.

📝 Enhancement Note: The interview process and portfolio review tips are tailored to the specific demands of this role, emphasizing the critical need for domain expertise in trading and verifiable experience with AI/LLM tools.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Expert-level proficiency required for UI design, prototyping, and collaboration. This will be the primary tool for creating and maintaining design assets.
• Prototyping Tools: Modern prototyping tools (likely integrated within Figma or standalone) for creating interactive user flows and simulating real-time data interactions.
• AI/LLM Design Tools: Daily professional use of tools such as Claude (Cowork, Design, Code), OpenAI Codex, Google Gemini, or similar, for tasks like rapid prototyping, research synthesis, content generation, and design-to-code workflows.
• Design System Management Tools: Experience with tools or methodologies for managing and scaling design systems, ensuring consistency and efficiency across the platform.

Analytics & Reporting:

• User Analytics Platforms: Familiarity with tools like Amplitude, Mixpanel, or Google Analytics for understanding user behavior, tracking feature adoption, and measuring the impact of designs.
• Data Visualization Libraries/Tools: Understanding of how to work with or design for data visualization libraries, or experience with tools that facilitate the creation of complex charts and dashboards.

CRM & Automation:

• Collaboration Platforms: Slack, Microsoft Teams, or similar for day-to-day team communication and project coordination.
• Project Management Tools: Jira, Asana, Trello, or similar for managing design tasks, sprints, and tracking progress within Agile workflows.
• Version Control Systems (for Design-to-Code): Familiarity with concepts related to version control for design assets and potentially design-to-code outputs.

📝 Enhancement Note: The explicit mention of specific AI/LLM tools (Claude, Gemini, OpenAI Codex) and the requirement for "daily, demonstrated use" highlights the critical operational aspect of this role. Proficiency in Figma is standard, but the emphasis on AI integration is a key differentiator.

👥 Team Culture & Values

Operations Values:

• Integrity: As a regulated financial institution, integrity is paramount. This translates to designing for transparency, security, and ethical practices in all user interactions and data handling.
• Innovation & AI-Native Culture: A core value is embracing cutting-edge technology, particularly AI/LLMs, to drive efficiency and create novel solutions. Designers are expected to be proactive in exploring and integrating these tools.
• User Focus & Domain Expertise: A deep commitment to understanding and serving the needs of professional traders, valuing the domain knowledge that designers bring to the table. Decisions are grounded in user insights and market realities.
• High Agency & Ownership: Employees are encouraged to take initiative, drive clarity in ambiguous situations, and own their work from conception to completion, reflecting a culture of accountability and proactive problem-solving.
• Collaboration & Global Mindset: Working effectively across diverse teams and global time zones is essential, fostering a culture of mutual respect, open communication, and shared goals.

Collaboration Style:

• Cross-functional Partnership: Designers work intimately with Product Managers and Engineers, functioning as integrated team members rather than siloed contributors. This involves continuous feedback loops and shared decision-making.
• Data-Informed Iteration: Collaboration is driven by data—user research, analytics, and market insights—leading to iterative design improvements rather than static outputs.
• Open Communication & Feedback: An environment where open discussion, constructive criticism, and sharing of ideas are encouraged to refine designs and processes.
• AI Integration Playbooks: Collaboration will extend to developing and sharing best practices for AI tool usage within the design team, fostering collective learning and efficiency gains.

📝 Enhancement Note: The values emphasize a blend of traditional financial industry rigor (integrity, user focus) with forward-thinking innovation (AI-native, high agency). The collaboration style points to a highly integrated, agile, and data-informed operational workflow.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of Trading Interfaces: Designing for high-information density, real-time data, and complex workflows in trading platforms requires meticulous attention to detail and a deep understanding of user needs.
• Rapidly Evolving Market: The digital asset and crypto market is highly volatile and fast-changing, requiring designers to stay abreast of new trends, regulatory changes, and technological advancements.
• AI Integration Scrutiny: While AI is core, ensuring its effective and ethical integration into user-facing products and internal design workflows requires careful strategic planning and execution.
• Balancing Innovation with Regulation: Designing cutting-edge features while adhering to strict regulatory requirements in different jurisdictions (Germany, Hong Kong, Gibraltar) presents a significant challenge.
• Global Team Coordination: Effectively collaborating with teams across multiple time zones (e.g., London and Hong Kong) requires robust communication strategies and asynchronous work practices.

Learning & Development Opportunities:

• Specialized FinTech Design: Deepen expertise in designing for financial instruments, trading mechanics, and institutional-grade platforms.
• AI/LLM Design Mastery: Become a leader in applying AI tools to product design, potentially developing custom solutions or influencing the company's AI strategy.
• System Design & Architecture: Contribute to and lead the evolution of a sophisticated design system for a complex financial product.
• Product Strategy Influence: Grow from an executor to a strategic partner, influencing product roadmaps and business outcomes through design insights.
• Mentorship: Opportunity to mentor junior designers and contribute to the growth of the design team's capabilities.

📝 Enhancement Note: The challenges highlight the operational demands of working in a regulated, fast-paced, and technologically advanced sector. The growth opportunities are framed around developing specialized skills and increasing strategic influence, common for senior roles.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a complex trading interface. What were the key challenges, how did you approach them, and what was the outcome?" (Focus on process, domain knowledge, and results.)
• "How have you integrated AI/LLM tools into your design process? Provide a specific example and discuss the impact on efficiency, quality, or innovation." (Crucial for assessing AI fluency and operational impact.)
• "Imagine you need to design a new feature for real-time portfolio tracking. How would you approach this, considering data density, user needs, and potential AI enhancements?" (Tests problem-solving, domain understanding, and AI application.)

Company & Culture Questions:

• "What excites you about Bullish and the digital asset industry?" (Assess genuine interest and cultural alignment.)
• "How do you approach collaboration with Product Managers and Engineers, especially in an Agile environment?" (Evaluate teamwork and cross-functional operational skills.)
• "How do you ensure your designs are user-centric while also meeting business objectives and regulatory requirements?" (Tests strategic thinking and balanced decision-making.)

Portfolio Presentation Strategy:

• Prioritize Impact: For each case study, clearly articulate the problem, your specific role, the process (highlighting AI use), the solution, and the measurable business or user impact.
• Showcase AI Integration: Dedicate a section or clear points within your case studies to demonstrate how and why you used AI tools, and what tangible benefits they provided. This is a key differentiator.
• Explain Your "Why": Be prepared to justify your design decisions, especially regarding complexity, information hierarchy, and user flow.
• Discuss Tradeoffs: Demonstrate an understanding of the constraints and compromises inherent in product development, and how you navigate them.
• Prepare for Technical/Domain Questions: Be ready to discuss concepts like order books, market microstructure, liquidity, and real-time data visualization with confidence.

📝 Enhancement Note: The interview questions are designed to probe for both core design skills and the specific operational requirements of this role, particularly the deep domain expertise and mandatory AI/LLM integration.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided Workday link, ensuring all required fields are completed accurately.
• Tailor Your Resume: Highlight your experience with trading platforms, complex data-rich interfaces, and specifically, your professional use of AI/LLM tools in design workflows. Quantify achievements where possible.
• Curate Your Portfolio: Select 1-2 strong case studies that showcase your end-to-end design process for financial products, with a clear emphasis on your AI integration strategy and its impact. Ensure it aligns with the role's requirements.
• Prepare Your Narrative: Practice articulating your design process, rationale, and the outcomes of your work, paying special attention to how you leverage AI and domain expertise. Be ready to discuss your experience in fast-paced, global environments.
• Research Bullish: Understand the company's mission, products (Exchange, CoinDesk), and its commitment to an AI-native design culture. Be prepared to discuss why you are a good fit for their specific operational and cultural environment.

⚠️ 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.