Product Designer (£65K - £85K + Equity) at Arva AI

📍 Job Overview

Job Title: Product Designer

Company: Arva AI

Location: London, UK

Job Type: Full-Time

Category: Product Design / UX/UI

Date Posted: 2026-03-24

Experience Level: Mid-Level (2-5 years)

Remote Status: On-site (with potential for flexibility, see Work Environment)

🚀 Role Summary

• Lead end-to-end product design for high-stakes AI agents in the financial crime domain, focusing on AML, KYC, and KYB investigations.

• Transform complex compliance processes into intuitive, data-heavy workflows to drive significant operational cost reductions for financial institutions.

• Architect and maintain a scalable design system and component library, balancing dense data accessibility with user interaction quality.

• Collaborate directly with the CEO and CTO to rapidly iterate on product strategy, leveraging user feedback to shape the future of AI-driven compliance.

• As the first dedicated design hire, build the product's visual and interactive foundation from the ground up, establishing design best practices.

📝 Enhancement Note: While the role is listed as "On-site," the description mentions a "VC-backed AI startup" and a "fast-moving environment," suggesting potential for hybrid or flexible arrangements once trust is established. The role also implies a strong need for UX/UI expertise within a highly regulated and data-intensive industry, which is a critical differentiator for operations-minded candidates.

📈 Primary Responsibilities

• Conduct comprehensive user research with compliance teams to deeply understand their needs, pain points, and workflows in AML, KYC, and KYB investigations.

• Translate research findings and product strategy into intuitive user flows, wireframes, mockups, and high-fidelity prototypes.

• Develop and maintain a robust, scalable design system and component library that ensures consistency, efficiency, and high-quality user experiences across the product.

• Collaborate closely with engineering teams, providing clear and detailed design specifications and ensuring smooth, accurate implementation during handoff.

• Partner with executive leadership (CEO, CTO) to define and refine product vision and strategy, advocating for user-centric design principles.

• Design interfaces for AI agents that automate complex investigations, ensuring clarity, trustworthiness, and efficiency for users dealing with high-stakes data.

• Iterate on product designs based on user feedback, A/B testing results, and performance metrics to continuously improve user outcomes and operational efficiency.

• Contribute to the definition and improvement of internal design processes, tools, and workflows within a fast-paced startup environment.

📝 Enhancement Note: The responsibilities emphasize a full-cycle design ownership, from initial research to final implementation and iteration. This requires a strong understanding of B2B SaaS product development, user-centric design, and the ability to manage complex requirements within a regulated industry, which are transferable skills for operations professionals focused on process and efficiency.

🎓 Skills & Qualifications

Education: Bachelor's degree in Design, HCI, Computer Science, or a related field, or equivalent practical experience.

Experience:

• Minimum of 3 years of product design experience, with a demonstrable track record of shipping complex B2B SaaS or fintech products in fast-paced environments.

Required Skills:

• Expert-level proficiency in end-to-end product design, including user research methodologies, wireframing, prototyping, and user interface (UI) design.

• Strong command of design tools such as Figma, Sketch, Adobe Creative Suite, or similar platforms for creating high-fidelity mockups and interactive prototypes.

• Deep understanding of design systems principles and practical application in building scalable component libraries.

• Experience in user research, including conducting interviews, usability testing, and synthesizing feedback to inform design decisions.

• Ability to translate complex, data-intensive workflows into clear, intuitive, and efficient user interfaces.

• Excellent communication and collaboration skills, with the ability to articulate design decisions and rationale to technical and non-technical stakeholders.

• Proactive, self-directed mindset with a strong sense of ownership and a deep commitment to user outcomes.

Preferred Skills:

• Experience with AI agent interaction design or designing interfaces for complex AI-driven applications.

• Familiarity with financial crime compliance processes (AML, KYC, KYB).

• Basic understanding of front-end development principles (HTML, CSS, JavaScript) to facilitate better engineering handoffs.

• Experience working in a Y Combinator or similar accelerator program startup environment.

• Familiarity with data visualization techniques for presenting dense information effectively.

📝 Enhancement Note: The emphasis on "user outcomes" and "navigating high-stakes, regulated design challenges" is crucial. Operations professionals can draw parallels to optimizing complex business processes and ensuring compliance, highlighting their ability to handle intricate systems and drive tangible results. The requirement for design system expertise is a direct link to efficient product development, a core concern in operations.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing end-to-end product design projects, including case studies with clear problem statements, design process, and measurable outcomes.

• Demonstrations of experience in user research, wireframing, prototyping, UI design, and interaction design, particularly for complex B2B SaaS or fintech applications.

• Examples of building or significantly contributing to design systems and component libraries, illustrating their scalability and impact on product development velocity.

• Case studies that highlight the ability to transform complex, data-heavy workflows into intuitive and efficient user experiences.

Process Documentation:

• Showcase your approach to user research, including methods used, participant recruitment, and how insights were synthesized and applied to design solutions.

• Detail your process for developing and maintaining design systems, including governance, documentation, and integration with development workflows.

• Illustrate your iterative design process, demonstrating how user feedback and data were used to refine designs and improve product performance.

• Provide examples of how you've managed design projects from concept to launch, including timeline management and stakeholder communication.

📝 Enhancement Note: For operations candidates, framing portfolio pieces as "process optimization case studies" is key. Instead of just showing UI, they should emphasize how their design solutions streamlined workflows, improved data accessibility, reduced error rates, or increased efficiency—metrics that resonate with operations functions. Demonstrating a systematic approach to design, akin to process mapping in operations, will be highly valued.

💵 Compensation & Benefits

Salary Range: £65,000 - £85,000 per annum.

Benefits:

• Equity: Significant stock options package, reflecting the early-stage nature of the company and the impact of the first design hire.

• Health Insurance: Comprehensive health coverage.

• Pension Scheme: Contributory pension plan.

• Generous Leave: Paid time off and public holidays.

• Professional Development: Opportunities for learning, training, and attending industry conferences.

• Direct Impact: The chance to shape a product from its early stages and influence company direction.

Working Hours: Standard full-time hours, typically around 40 hours per week. Flexibility may be available, given the startup environment and the need for focused design work.

📝 Enhancement Note: The salary range is competitive for a mid-level Product Designer in London. The inclusion of "Equity" is a significant draw for early-stage startups, indicating a desire to align employee incentives with company growth. For operations professionals, understanding the financial implications of equity and its vesting schedule is crucial for long-term career planning. The "40 hours per week" is a baseline; operations candidates should be prepared for a dynamic startup environment where occasional longer hours might be necessary to meet critical deadlines.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI), Fintech, Financial Crime Compliance. Arva AI is positioned at the intersection of cutting-edge AI technology and the critical, highly regulated world of financial crime prevention. This means operating with a strong emphasis on accuracy, security, and regulatory adherence, while also driving innovation.

Company Size: Early-stage, VC-backed startup. The company is currently small, likely consisting of the founders, a core engineering team, and potentially a few early hires. This implies a lean, agile, and highly collaborative environment where every team member's contribution is significant.

Founded: The company was founded recently, with support from Y Combinator (S24) and Google’s AI fund (Gradient Ventures), indicating strong early traction and investor confidence. This suggests a rapidly evolving product and business strategy.

Team Structure:

• The Product Designer will be the first dedicated design hire, working closely with the CEO and CTO.

• This structure offers high visibility and direct influence but also requires a self-starter mentality.

Methodology:

• Data-Driven Decisions: Given the AI and fintech focus, expect a strong emphasis on data analysis, A/B testing, and performance metrics to inform product development and design iterations.

• Agile Development: The fast-paced startup environment suggests an agile methodology, with rapid prototyping, iterative development cycles, and frequent feedback loops.

• User-Centricity: Despite the technical complexity, the role emphasizes understanding and serving the user (compliance teams), indicating a commitment to user-centered design principles.

Company Website: https://www.arva.ai/ (Note: This is an assumption based on the company name and industry. The provided URL is for Jack & Jill. A specific Arva AI website would need to be confirmed.)

📝 Enhancement Note: The company's focus on AI and financial crime means that design decisions must balance innovation with extreme reliability and compliance. For an operations professional, this translates to an environment where process rigor, data integrity, and risk management are paramount, even within a design role. Understanding the interplay between AI capabilities, user needs, and regulatory constraints will be key.

📈 Career & Growth Analysis

Operations Career Level: This role is for a Mid-Level Product Designer, positioned as the initial design specialist. It offers a unique opportunity for significant ownership and influence early in the company's trajectory.

Reporting Structure: The Product Designer will report directly to the CEO and CTO, indicating a high level of direct access and collaboration with executive leadership. This is a departure from typical hierarchical structures and offers a chance to influence product strategy at the highest level.

Operations Impact: The Product Designer's work will directly impact operational efficiency and cost savings for Arva AI's clients by automating complex financial crime investigations. This role is crucial for translating AI capabilities into tangible business value, reducing manual effort, and improving compliance outcomes. The success of the product's UX/UI is directly tied to its adoption and effectiveness in cutting operational costs by up to 80%.

Growth Opportunities:

• Leadership Potential: As the first design hire, there's a clear path to becoming the Head of Design or leading a design team as the company scales.

• Skill Specialization: Opportunity to become an expert in AI agent interaction design and UX for highly regulated industries, a niche but growing field.

• Product Strategy Influence: Direct involvement in product roadmap discussions and strategic planning provides a broader understanding of business operations and growth.

• Equity Appreciation: The potential for significant equity growth in a well-funded, high-potential startup offers substantial financial upside.

📝 Enhancement Note: Operations professionals can relate to the "impact on operational efficiency" aspect. This role is about using design to optimize a complex operational process (financial crime investigations). The growth opportunities highlight a chance to move into leadership and gain broad strategic exposure, which is often a goal for ambitious operations leaders.

🌐 Work Environment

Office Type: The role is listed as "On-site" in London, UK. Given it's an early-stage startup, the office environment is likely to be modern, collaborative, and potentially a co-working space or a small, dedicated office designed for innovation and team interaction.

Office Location(s): London, UK. This provides access to a vibrant tech ecosystem and talent pool. Specific details about the office location would be clarified during the interview process.

Workspace Context:

• Collaborative Hub: Expect an environment where close collaboration with founders and engineers is the norm, fostering rapid iteration and problem-solving.

• Technology Focused: Access to industry-standard design tools and potentially advanced hardware for design and prototyping.

• Innovation Culture: A workplace that encourages experimentation, learning, and pushing the boundaries of AI and UX design.

• High-Paced: The startup nature means the environment will be dynamic, with potential for spontaneous brainstorming sessions and quick pivots.

Work Schedule: While listed as full-time (approx. 40 hours/week), the startup culture may necessitate flexibility. Operations professionals are accustomed to dynamic schedules, and this environment will likely require adaptability to meet project deadlines and client needs.

📝 Enhancement Note: While "On-site" is specified, the context of an AI startup in a major city like London suggests that the company might offer some flexibility or hybrid options, especially for a key hire like the first Product Designer. Operations candidates should inquire about the typical expectations for office presence and flexibility.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening (Jack & Jill): A preliminary conversation with "Jack" (AI) to assess alignment with career goals and experience.

• AI Recruiter Review (Jill): Jill, the AI Recruiter for Arva AI, will review candidates from Jack's network.

• Hiring Manager/Founder Interviews: Likely a series of interviews with the CEO, CTO, and potentially key engineers to assess design skills, technical proficiency, problem-solving abilities, and cultural fit.

• Portfolio Presentation/Design Challenge: A session where candidates present their portfolio, discuss case studies, and potentially tackle a design challenge relevant to Arva AI's product.

• Final Round: Potentially a deeper dive into strategic thinking and long-term vision.

Portfolio Review Tips:

• Highlight Process & Impact: For each project, clearly articulate the problem, your design process, your specific contributions, and the measurable impact (e.g., efficiency gains, cost reduction, improved user satisfaction). Frame these as operational improvements through design.

• Showcase Design System Expertise: Dedicate a section or specific case study to your experience with design systems, demonstrating how you've built, maintained, or scaled them. Quantify the benefits (e.g., faster development cycles, improved consistency).

• Focus on B2B SaaS & Fintech: Emphasize projects relevant to complex B2B SaaS or fintech products, especially those involving data-intensive interfaces or regulated environments.

• Demonstrate Problem-Solving: Be prepared to discuss how you approach complex design challenges, particularly in data-heavy and regulated contexts like financial crime.

• Tailor to Arva AI: Research Arva AI's mission and target audience. Express how your design philosophy and experience align with their goals of automating financial crime investigations.

Challenge Preparation:

• Understand the Domain: Familiarize yourself with AML, KYC, KYB processes and the challenges faced by compliance teams.

• Think Operationally: When presented with a design problem, consider the operational implications: efficiency, accuracy, scalability, compliance, and cost.

• Data Visualization: Be ready to discuss how you would design interfaces to present complex data clearly and effectively for investigative purposes.

• AI Interaction: Consider the unique challenges of designing interfaces for AI agents, including trust, transparency, and user control.

📝 Enhancement Note: For operations candidates, the portfolio review is an opportunity to translate design achievements into operational improvements. Instead of saying "improved user flow," say "streamlined the AML investigation workflow, reducing average processing time by X%." The interview process emphasizes a direct connection with founders, highlighting the strategic importance of this role.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (highly probable, given industry trends and Ashby ATS usage), Sketch, Adobe Creative Suite.

• User Research Tools: UserTesting.com, Maze, Lookback, or similar platforms for remote usability testing and feedback collection.

• Design System Management: Tools for documentation and version control, such as Zeroheight, Storybook (for developers integrating components), or internal wikis.

Analytics & Reporting:

• While not directly a design tool, familiarity with analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude) will be beneficial for understanding user behavior and product performance.

CRM & Automation:

• Not directly applicable to the Product Designer role, but an understanding of how design impacts user adoption and engagement within a CRM or sales process could be a plus.

📝 Enhancement Note: The emphasis on Figma and design systems is critical. Operations professionals often work with complex software ecosystems. Demonstrating proficiency in modern design tools and an understanding of how design systems contribute to efficient product development and maintenance is analogous to understanding how standardized processes and tools drive operational efficiency.

👥 Team Culture & Values

Operations Values:

• User Obsession: A deep commitment to understanding and solving user problems, especially within high-stakes, regulated environments.

• Data-Driven Innovation: Leveraging data and AI to create impactful solutions that drive tangible operational efficiencies and cost savings for clients.

• Ownership & Accountability: Taking full responsibility for the end-to-end design experience, from concept to execution, and driving outcomes.

• Collaboration & Transparency: Working closely with founders and engineering teams, fostering open communication and shared problem-solving.

• Efficiency & Scalability: Designing robust systems and processes that can scale with the company and deliver consistent results.

Collaboration Style:

• Direct & Iterative: Expect frequent, direct feedback loops with the CEO and CTO, enabling rapid iteration on product ideas and designs.

• Cross-Functional Partnership: Close collaboration with engineering is essential for effective implementation and ensuring design systems are practical and maintainable.

• User-Centric Advocacy: The designer will act as a champion for the user, translating their needs into actionable product improvements.

📝 Enhancement Note: The values of "Ownership & Accountability" and "Efficiency & Scalability" strongly resonate with operations professionals. This role requires a mindset that seeks to optimize processes and deliver measurable results, much like in a traditional operations function.

⚡ Challenges & Growth Opportunities

Challenges:

• Defining Design from Scratch: As the first designer, establishing processes, standards, and a design system for a nascent product requires significant initiative and strategic thinking.

• Balancing Data Density with Usability: Designing interfaces for complex, data-heavy compliance investigations that are both highly functional and intuitive presents a significant UX challenge.

• Navigating Regulatory Constraints: Working within the financial crime domain requires a deep understanding of compliance, security, and data privacy regulations, which can constrain design options.

• Rapid Iteration in a Startup: Adapting quickly to changing product priorities and market demands while maintaining design quality and consistency.

Learning & Development Opportunities:

• Specialized Expertise: Become a leader in AI agent interaction design and UX for regulated industries.

• Strategic Product Involvement: Gain deep insights into product strategy, business development, and startup growth.

• Leadership Development: Opportunity to build and lead a future design team.

• Cutting-Edge Technology: Work at the forefront of AI and its application in critical business functions.

📝 Enhancement Note: These challenges are directly transferable to operations roles. Operations professionals often face the task of building processes from scratch, managing complex data, adhering to strict regulations, and adapting to rapid business changes. Highlighting how one's operational experience prepares them for these design-specific challenges will be effective.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing an interface for an AI agent that conducts AML investigations, considering the need for both automation and human oversight?" (Focus on user control, transparency, data presentation, and error handling.)

• "Describe your process for building and scaling a design system in a fast-paced startup environment. What are the key components, and how do you ensure adoption by engineering?" (Emphasize efficiency, maintainability, and collaboration.)

Company & Culture Questions:

• "What interests you most about Arva AI's mission to combat financial crime with AI?" (Show genuine interest in the problem space and the technology.)

• "How do you see your role as the first Product Designer contributing to the overall success and culture of a growing startup?" (Highlight your proactive, team-oriented, and impact-driven approach.)

Portfolio Presentation Strategy:

• Structure for Impact: Organize your portfolio around case studies that clearly articulate the business problem, your design process, your specific contributions, and the resulting impact (quantified where possible).

• Focus on Process: Walk interviewers through your thinking. Explain why you made certain design decisions, referencing user research, data, or operational considerations.

• Highlight Design System Work: Dedicate specific slides or sections to your design system experience, showing its components and explaining its benefits for development velocity and consistency.

• Be Ready for Deep Dives: Be prepared to answer detailed questions about specific design choices, technical constraints, and how your designs addressed complex user needs or operational challenges.

📝 Enhancement Note: For operations candidates, framing answers around "operational impact," "process efficiency," and "risk mitigation" will be highly effective. Connect your design thinking to how it solves business problems and improves operational workflows for Arva AI's clients.

📌 Application Steps

To apply for this Product Designer position:

• Visit the Jack & Jill website and click 'Talk to Jack' to initiate the AI-driven screening process.

• Prepare to discuss your experience relevant to B2B SaaS, fintech, AI interaction design, and design systems.

• Curate your portfolio to highlight end-to-end design process, user research, and measurable outcomes, framing them as operational improvements.

• Be ready to articulate how your design skills can help Arva AI automate complex financial crime investigations and drive significant cost savings for clients.

• Research Arva AI's mission, the financial crime domain, and the challenges of AI agent interaction design to better tailor your application and interview responses.

⚠️ 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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