Product Designer

📍 Job Overview

Job Title: Senior Product Designer

Company: Bunch

Location: London, United Kingdom

Job Type: Contractor

Category: Product Design / UX/UI Design

Date Posted: 2026-06-24

Experience Level: 5-10 Years

Remote Status: Hybrid (3 days/week in office)

🚀 Role Summary

• Lead end-to-end UX and UI design for core product areas within an AI-first company, translating complex user needs and brand guidelines into intuitive and trustworthy digital experiences.

• Shape the user journey and product direction by conducting discovery research, synthesizing insights, and rapidly prototyping AI-native solutions to validate product hypotheses.

• Design conversational interfaces and microcopy where language is paramount, ensuring clarity, warmth, and precision to build user trust in AI-driven financial and administrative services.

• Collaborate closely with engineering, product marketing, growth, brand, and customer experience teams to ensure seamless implementation and a consistently high-quality user experience from concept to shipped product.

📝 Enhancement Note: The title specifies "(Senior) Product Designer," and the requirements clearly indicate a need for 5+ years of experience and the ability to lead design efforts. This suggests a senior-level role with significant ownership and strategic input, particularly as the first dedicated designer on the team. The emphasis on AI-native tools and conversational interfaces points towards a specialized UX/UI role focused on the evolving landscape of AI-powered applications.

📈 Primary Responsibilities

• Spearhead the complete UX and UI design lifecycle for assigned product areas, from initial user research and concept generation through to high-fidelity specifications and final delivery.

• Develop comprehensive design artifacts including user journey maps, service blueprints, user flows, wireframes, interactive prototypes, and detailed specification documents, adapting the fidelity and type of output to the immediate project needs.

• Drive continuous improvement of customer journeys by leveraging data analysis, user feedback loops, and A/B testing methodologies to identify and implement optimization opportunities.

• Partner effectively with engineering teams throughout the development process, providing clear design intent and ensuring accurate implementation of the designed user experience.

• Establish and monitor key UX metrics to quantify the impact of design decisions on user behavior, engagement, and overall product outcomes, linking design efforts directly to business objectives.

• Contribute to the growth and maintenance of the company's design system, ensuring consistency, scalability, and raising the overall quality bar for user interfaces across the product.

• Design and refine conversational, text-driven interfaces, treating tone, microcopy, hierarchy, and word choice as critical design elements that build user trust and comprehension.

• Utilize AI-native prototyping tools (e.g., v0, Cursor, Lovable, Replit) to rapidly validate design concepts and user interactions before committing to engineering resources.

• Integrate robust trust mechanics into all user touchpoints, ensuring transparency about the AI's operations, rationale, and implications for the user.

• Execute hypothesis-led experiments to gather empirical evidence supporting design choices, prioritizing measurable proof of concept over purely aesthetic polish.

• Simplify complex user decisions related to financial and administrative tasks (e.g., energy tariffs, broadband, council tax) into intuitive and effortless user flows.

• Conduct thorough quality assurance (QA) of shipped features, ensuring the live user experience meets the standards established in design specifications.

📝 Enhancement Note: The responsibilities list is extensive and covers a broad spectrum of design activities. The emphasis on "end-to-end UX and UI," "optimise customer journeys based on data analysis," "define and track UX metrics," and "run hypothesis-led experiments" indicates a strong focus on data-driven design and measurable impact, which is a hallmark of senior operations-adjacent roles in product. The explicit mention of AI-native tools and conversational interfaces highlights a specialized skillset required for this role.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong foundation in design principles, human-computer interaction, or a related field is implied. Emphasis is placed on practical experience and a portfolio over formal education.

Experience: Minimum of 5 years of dedicated experience in UX/Product Design, with a proven track record of shipping products at scale.

Required Skills:

• AI-First Mindset: A proactive approach to leveraging AI tools and methodologies to enhance productivity, execution, and the overall design process.

• End-to-End Design Leadership: Proven ability to lead the full design lifecycle from discovery and research through to delivery and iteration.

• Portfolio of Complex Problem-Solving: A strong portfolio showcasing the ability to tackle intricate user problems and deliver effective solutions, not just visually appealing interfaces.

• Figma Proficiency: Mastery of Figma or comparable industry-standard design and prototyping tools.

• User Research & Synthesis: Robust skills in conducting user research, synthesizing findings, and translating them into actionable design insights.

• Data & Experimentation Comfort: Experience working with data, running A/B tests, and designing for measurable outcomes.

• Clear & Confident Communication: Excellent verbal and written communication skills, with the ability to articulate design decisions and rationale effectively to diverse stakeholders.

• Conversational/Text-Driven Interface Design: Natural aptitude for designing interfaces where language is a primary element, demonstrating a keen understanding of tone, microcopy, and clarity.

• AI-Native Tool Prototyping: Proficiency or strong willingness to quickly master AI-native prototyping tools such as v0, Cursor, Lovable, or Replit.

• Facilitation Skills: Ability to guide cross-functional discussions, bring clarity to complex problems, and foster collaboration among engineers, product managers, and stakeholders.

• High Quality Bar: A meticulous attention to detail and a strong personal standard for design quality, consistency, and polish.

Preferred Skills:

• Experience with design systems at scale.

• Motion and interaction design capabilities.

• Background in SaaS, fintech, or marketplace industries.

• Familiarity with front-end development (HTML/CSS).

• Experience in consumer advocacy, compliance, or trust/safety design.

• Understanding of B2B2C distribution models and partner-embedded experiences.

• Experience designing products that handle sensitive user data, particularly financial information.

📝 Enhancement Note: The requirements emphasize practical skills and a specific mindset (AI-first) over traditional qualifications. The "5+ years" combined with "lead end-to-end" and "first designer" strongly signals a senior individual contributor role. The specific mention of AI prototyping tools and conversational design highlights a niche but critical skillset for AI-driven product development.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate Complex Problem-Solving: Showcase a minimum of 2-3 detailed case studies that highlight your process for tackling challenging user problems, documenting the problem, your approach, key decisions, and the resulting solutions.

• End-to-End Design Process: Clearly articulate your involvement across the entire design lifecycle for each case study, from initial research and ideation through to prototyping, testing, and post-launch iteration.

• Data-Driven Iteration: Include examples where you used data analysis, user feedback, or experimentation to inform and refine design decisions, demonstrating a measurable impact on user outcomes.

• AI/Conversational Design Examples: Highlight any projects involving conversational interfaces, AI-driven features, or text-centric design, showcasing your approach to building trust and clarity in these contexts.

• Tool Proficiency Showcase: While Figma is expected, demonstrate proficiency with a range of tools used in the design process, including any AI-native prototyping tools or research platforms.

Process Documentation:

• Workflow Design & Optimization: Provide examples of how you mapped out user journeys, created service blueprints, or designed complex workflows, emphasizing your ability to simplify intricate processes.

• Rapid Prototyping & Validation: Document instances where you used rapid prototyping (especially with AI tools) to quickly validate concepts and gather user feedback before significant development investment.

• Metrics & Impact Measurement: Detail how you defined, tracked, and reported on UX metrics to measure the success of your designs and link them to business objectives or user behavior changes.

📝 Enhancement Note: Given this is a senior design role with a focus on AI and complex problem-solving, the portfolio is critical. The emphasis should be on demonstrating strategic thinking, process rigor, and tangible impact, rather than just visual polish. The inclusion of AI-native tools and conversational design in the portfolio is a key differentiator.

💵 Compensation & Benefits

Salary Range: As the salary is marked as "TBC," a competitive range for a Senior Product Designer with 5-10 years of experience in London on a contract-to-perm basis can be estimated. Based on industry benchmarks for similar roles in London's tech sector, this role could command a day rate of £400 - £650, or an equivalent annual salary of £80,000 - £130,000 once converted to permanent. The specific rate will depend on the candidate's experience, the duration of the contract, and the negotiation with Bunch.

Benefits (for Contract Phase):

• Flexible Hybrid Work: Opportunity to work 3 days per week in the London office, blending in-person collaboration with remote flexibility.

• Exposure to Cutting-Edge AI: Work with advanced AI tools and technologies, shaping the future of AI-driven personal administration.

• Direct Impact & Ownership: Be part of a small, fast-moving team with significant ownership over product direction and design output.

• Potential for Permeant Role: A clear pathway to a permanent position after a successful contract period, offering long-term career stability.

Benefits (if converted to Permanent - Assumed):

• Competitive salary and potential for equity.

• Comprehensive health insurance (medical, dental, vision).

• Generous paid time off (holiday, sick leave).

• Professional development budget for conferences, courses, and learning resources.

• Pension scheme contributions.

• Team events and social activities.

Working Hours: Standard full-time hours are expected, likely around 40 hours per week. The hybrid arrangement allows for some flexibility in structuring these hours, with a requirement to be present in the London office for 3 days each week.

📝 Enhancement Note: The salary estimation is based on current market rates for Senior Product Designers in London, considering the contract-to-perm nature of the role and the company's Series A funding status. The benefits are split to reflect potential differences between the contract phase and a subsequent permanent role. The 3-day in-office requirement is a key aspect of the work arrangement.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically focused on AI-powered personal administration and financial management. The company is developing AI solutions to automate tedious administrative tasks for individuals.

Company Size: Series A funded, described as a "small team building from scratch." This indicates a startup environment with approximately 15-50 employees, offering high visibility and direct impact.

Founded: The founding date is not specified, but its Series A funding suggests it's a relatively young, growth-stage company (likely founded within the last 3-7 years).

Team Structure:

• Cross-functional Collaboration: The role explicitly states collaboration with Product Marketing, Engineering, Growth, Brand, and Customer Experience. This suggests a highly integrated, agile team structure.

• Lean & Agile: As a small, fast-moving Series A company, expect an agile development methodology, with rapid iteration cycles and a focus on shipping quickly.

• Ownership & Autonomy: The emphasis on "real ownership" and being part of the "founding team" implies a culture that values initiative, autonomy, and contribution beyond the defined role.

Methodology:

• AI-Centric Product Development: The core product is built around AI, meaning design and development processes will be heavily influenced by AI capabilities, limitations, and user interaction patterns with AI.

• Data-Driven Design: The role requires optimizing customer journeys based on data analysis and running hypothesis-led experiments, indicating a strong commitment to data-informed decision-making.

• User-Centricity with Trust Focus: Given the sensitive nature of tasks handled (money, contracts, time), a deep focus on user trust, transparency, and building reliable AI experiences is paramount.

Company Website: https://thebunch1.bamboohr.com/careers (Note: This is a HR portal link, not the main company website. A search for "Bunch AI" would be needed to find their primary online presence.)

📝 Enhancement Note: The company culture is clearly defined as a fast-paced, AI-focused startup environment. The role of the first designer is pivotal, requiring not just execution but also the ability to help shape the design culture and processes. The context of handling sensitive user data (money, contracts) is crucial for understanding design considerations around trust and transparency.

📈 Career & Growth Analysis

Operations Career Level: Senior Individual Contributor (IC). As the first designer on the team, this role carries significant responsibility akin to a lead designer, with the expectation of setting design standards and influencing product strategy. The "5+ years" requirement reinforces the senior IC designation.

Reporting Structure: The role reports to "TBC" (To Be Confirmed). In a startup of this size, this could be the Head of Product, CTO, or CEO. This close proximity to leadership offers excellent visibility and opportunity to influence strategic decisions.

Operations Impact: This role has a direct and profound impact on the company's success by shaping the primary user interface and interaction model for an AI product. The quality of design, particularly in building user trust and simplifying complex tasks, will directly influence user adoption, retention, and the overall perception of Bunch's AI capabilities. The designer's work will be foundational to the product's user experience and its ability to achieve its mission.

Growth Opportunities:

• Design Leadership: As the first designer, there's a significant opportunity to grow into a Design Lead or Head of Design role as the company scales, building and mentoring a design team.

• Product Strategy Influence: The close collaboration with leadership and the "ownership" ethos provide ample chances to influence product strategy, roadmap prioritization, and the overall company vision.

• AI Design Specialization: Deepen expertise in AI-native design, conversational interfaces, and building trust in AI systems, becoming a sought-after specialist in a rapidly growing field.

• Broader Skill Development: Gain exposure to various aspects of a fast-growing startup, including business strategy, marketing, and growth initiatives, broadening career versatility.

• Permanent Role Conversion: The contract-to-perm structure offers a stable career path with potential for equity and long-term growth within the company.

📝 Enhancement Note: This role is positioned as a critical early hire, offering substantial growth potential beyond a typical senior IC role. The opportunity to shape design culture and strategy from the ground up is a significant draw for ambitious designers. The "operations" aspect here relates to the operational efficiency and effectiveness of the product team through strong design leadership and process.

🌐 Work Environment

Office Type: The company requires 3 days per week in their London office, indicating a hybrid work environment. This suggests a modern office space designed for collaboration, likely in a co-working space or dedicated office.

Office Location(s): London, United Kingdom (Specific address provided as SW6 3JW, indicating the Hammersmith and Fulham area). This location offers good accessibility within London.

Workspace Context:

• Collaborative Hub: The office days are intended for collaboration, team meetings, workshops, and fostering team cohesion. Expect an environment that encourages interaction with engineers, product managers, and other cross-functional colleagues.

• Tool Accessibility: The company likely provides standard office amenities and ensures access to necessary design software and hardware, including any specialized AI prototyping tools mentioned.

• Startup Energy: Expect a dynamic, fast-paced startup atmosphere where open communication and rapid feedback loops are common.

Work Schedule: Full-time, with an expectation of 40 hours per week. The hybrid model offers flexibility in how these hours are structured, but the 3-day office presence is a core requirement.

📝 Enhancement Note: The hybrid nature of the role and the specific office location are key details. The emphasis on collaboration during office days suggests the company values face-to-face interaction for brainstorming and team building, which is common in design-heavy product teams.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your CV and portfolio to assess experience, skills, and fit with the role requirements.

• Portfolio Presentation & Discussion: A session where you present your portfolio, walking through key case studies. Expect in-depth questions about your process, decision-making, and impact. This is where you'll demonstrate your complex problem-solving abilities and AI/conversational design experience.

• Cross-functional Interviews: Meetings with engineers, product managers, and potentially marketing/brand leads to assess collaboration style, communication skills, and alignment with team dynamics.

• Problem-Solving Challenge/Case Study: You may be given a design challenge or a specific problem to solve, either as a take-home assignment or during a live session, to evaluate your approach to a real-world scenario.

• Final Interview: Likely with a founder or senior leader to discuss strategic alignment, cultural fit, and long-term vision.

Portfolio Review Tips:

• Focus on Process, Not Just Pixels: Clearly articulate how you arrived at your solutions. Detail your research, ideation, prototyping, and testing methodologies.

• Quantify Impact: Where possible, use metrics to demonstrate the success of your designs. Link your work to user outcomes or business goals.

• Highlight AI/Conversational Design: Dedicate specific sections or case studies to your experience with AI-native tools, conversational interfaces, and building trust in AI products.

• Showcase Problem-Solving: Choose case studies that demonstrate your ability to tackle complex challenges and your strategic thinking, not just UI polish.

• Be Ready to Discuss Trade-offs: Explain the decisions you made, including any constraints or trade-offs you had to consider.

• Tailor to Bunch: Understand Bunch's mission and target audience. Frame your experience and portfolio examples to resonate with their AI-first approach to personal administration.

Challenge Preparation:

• Understand the AI Context: Be prepared to think about designing for AI, including aspects like transparency, error handling, user control, and building trust.

• Embrace AI Tools: If a challenge involves prototyping, be ready to discuss or even use AI-native tools.

• Focus on Simplicity for Complexity: Practice simplifying complex financial or administrative tasks into intuitive user flows.

• Articulate Your Process: Clearly explain your thought process, assumptions, and how you would approach solving the given problem.

📝 Enhancement Note: The emphasis on portfolio review and potential design challenges highlights the company's focus on practical skills and problem-solving capabilities. The advice to tailor the portfolio to Bunch's AI-first mission is crucial for a strong application.

🛠 Tools & Technology Stack

Primary Design Tools:

• Figma: The core tool for UI design, wireframing, and prototyping. Mastery is essential.

• AI Prototyping Tools: Proficiency or rapid learning capability with tools like v0, Cursor, Lovable, Replit for quick validation of AI-native concepts.

Research & Synthesis Tools:

• User Research Platforms: Tools for conducting user interviews, surveys, and usability testing (e.g., UserTesting.com, Maze, Hotjar, Qualtrics).

• Collaboration & Documentation Tools: Platforms like Notion, Confluence, or similar for documenting research findings, design decisions, and project plans.

Analytics & Reporting:

• Data Analysis Tools: Familiarity with tools used for analyzing user behavior and product performance (e.g., Amplitude, Mixpanel, Google Analytics), though direct usage might be less frequent for a designer.

• Experimentation Platforms: Understanding of A/B testing frameworks and tools (e.g., Optimizely, VWO) to support hypothesis-led experimentation.

Design Systems:

• Design System Management: Experience with or ability to contribute to and evolve a design system, ensuring consistency and scalability.

Bonus/Familiarity:

• Frontend Code (HTML/CSS): Basic understanding is beneficial for effective collaboration with engineers and understanding implementation constraints.

📝 Enhancement Note: The specific mention of AI-native prototyping tools is a key differentiator. While Figma is standard, familiarity with these newer tools indicates a forward-thinking designer suited for an AI-first company.

👥 Team Culture & Values

Operations Values:

• Innovation & AI-First: A drive to leverage cutting-edge AI technology to solve real-world problems and redefine how people manage their administrative lives.

• Ownership & Accountability: A culture where individuals are empowered to take ownership of their work, make decisions, and are accountable for outcomes.

• User Trust & Transparency: A commitment to building trustworthy AI products through clear communication, ethical design, and robust security measures.

• Efficiency & Pragmatism: A focus on building functional, impactful solutions quickly and efficiently, valuing speed and iteration in a startup environment.

• High Quality & Craftsmanship: A dedication to maintaining a high standard for design quality and user experience, ensuring that details matter.

Collaboration Style:

• Cross-Functional Integration: Close working relationships between design, engineering, product marketing, and growth teams, fostering a holistic product development approach.

• Open Communication & Feedback: An environment that encourages direct, constructive feedback and open dialogue to drive continuous improvement.

• Agile & Iterative: A collaborative process that embraces agile methodologies, allowing for rapid iteration based on user feedback and data insights.

• Shared Vision: A collective effort to achieve Bunch's mission, with all team members contributing to the product's success.

📝 Enhancement Note: The culture emphasizes innovation, ownership, and trust, which are critical for an AI product company. The collaboration style is expected to be highly integrated and agile, typical of successful startups.

⚡ Challenges & Growth Opportunities

Challenges:

• Defining AI Interaction Patterns: Establishing novel and intuitive ways for users to interact with AI for complex tasks, moving beyond traditional UI paradigms.

• Building and Maintaining Trust: Designing for transparency and reliability in an AI system where user confidence is paramount, especially concerning financial and personal data.

• Balancing AI Capabilities with User Needs: Ensuring that the AI's capabilities are effectively translated into user-friendly features that solve genuine problems.

• Rapid Iteration & Evolution: Working at a fast pace in a startup environment, requiring adaptability and the ability to pivot quickly based on market feedback and technological advancements.

• Scalability of Design Systems: Evolving design systems to support new AI-driven features and a growing product suite.

Learning & Development Opportunities:

• AI Design Specialization: Becoming an expert in designing for AI, conversational interfaces, and emerging AI tools.

• Product Strategy & Leadership: Gaining hands-on experience in shaping product strategy and potentially growing into a leadership role.

• Cross-Functional Expertise: Developing a deeper understanding of engineering, marketing, and growth strategies within a tech startup.

• Industry Conferences & Workshops: Opportunities to attend relevant design and AI conferences, as well as internal or external training sessions.

• Mentorship: Potential for mentorship from founders or experienced team members in areas of product development and startup growth.

📝 Enhancement Note: The challenges are directly tied to the innovative nature of AI product development and the startup environment. The growth opportunities are substantial, focusing on specialization and leadership within a burgeoning tech field.

💡 Interview Preparation

Strategy Questions:

• "Tell me about a time you had to design for a complex, regulated industry (like finance or compliance). How did you approach building trust and ensuring accuracy?" (Focus on your process, understanding of constraints, and how you prioritized user safety/confidence).

• "Describe your experience designing conversational interfaces or text-driven products. What are the key principles you follow, and how do you ensure clarity and a positive user tone?" (Prepare examples showcasing your microcopy skills, tone of voice, and understanding of conversational flow).

• "How would you approach designing an AI feature that automates a complex administrative task, like comparing energy tariffs? What would be your initial steps, and how would you validate your design?" (Demonstrate your problem-solving process, research methods, and use of AI-native tools). Company & Culture Questions:

• "What attracts you to Bunch's mission of using AI to handle personal administration?" (Showcase your understanding of the problem Bunch is solving and your enthusiasm for AI applications).

• "This is a fast-paced startup environment. How do you handle ambiguity and rapid iteration?" (Highlight your adaptability, comfort with change, and proactive approach to problem-solving).

• "How do you balance the need for rapid shipping with maintaining a high bar for design quality?" (Discuss your strategies for efficient design processes, prioritization, and making informed trade-offs). Portfolio Presentation Strategy:

• Storytelling: Frame each case study as a narrative: the problem, your role, your process, the challenges, the solution, and the impact.

• Emphasize AI & Trust: Clearly highlight any work related to AI, conversational design, or building user trust. Use these as selling points for Bunch.

• Show, Don't Just Tell: Use visuals, prototypes, and data to illustrate your points. If you have experience with AI prototyping tools, demonstrate that.

• Be Ready for Deep Dives: Expect questions on specific design decisions, your rationale, and how you would handle hypothetical scenarios relevant to Bunch's product.

• Conciseness: Be mindful of time, presenting the most critical information efficiently.

📝 Enhancement Note: The interview preparation focuses on aligning your experience with Bunch's specific needs: AI, trust, complex problem-solving, and startup agility. Demonstrating your understanding of these areas through concrete examples will be key.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on the Bunch careers portal.

• Tailor Your Resume: Highlight your 5+ years of UX/Product Design experience, emphasizing achievements in complex problem-solving, AI-native tools, conversational design, and working in fast-paced environments. Ensure keywords like "UX," "UI," "Figma," "AI Prototyping," and "conversational interfaces" are present.

• Curate Your Portfolio: Select 2-3 of your strongest case studies that best showcase your end-to-end design process, your ability to tackle complex challenges, and any relevant experience with AI or conversational design. Ensure each case study clearly articulates the problem, your role, your process, the solution, and the impact.

• Prepare Your Presentation: Practice walking through your portfolio case studies, focusing on storytelling, clear articulation of your process, and quantifiable impact. Be ready to discuss your experience with AI tools and building user trust.

• Research Bunch: Understand their mission, the problem they are solving, and their AI-first approach. Prepare thoughtful questions about their product strategy, design challenges, and team 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.

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