AI Product Designer

📍 Job Overview

Job Title: AI Product Designer Company: MONY Group plc Location: London, England, United Kingdom Job Type: FULL_TIME Category: Product Design / AI & Emerging Technology Date Posted: 2025-08-11T00:00:00 Experience Level: Mid-Senior Level (5-10 years) Remote Status: Hybrid (Remote OK)

🚀 Role Summary

• Lead the design and implementation of innovative AI-driven user experiences across multiple brands, focusing on human-AI interaction.
• Translate complex machine learning concepts into intuitive, ethical, and valuable user-facing features for customers.
• Collaborate closely with product managers, engineers, and data scientists to embed AI capabilities seamlessly into the product lifecycle.
• Champion responsible AI design principles and contribute to the evolution of internal design systems, including AI-specific patterns.

📝 Enhancement Note: This role is specifically focused on the burgeoning field of AI and emerging technologies within product design. The emphasis on "Infusion or Agentic AI driven experiences" and "responsible, ethical design" indicates a forward-thinking approach to integrating artificial intelligence, requiring a designer adept at navigating both technical complexities and user trust. The company's mission to help millions of people save money provides a clear customer-centric context for these AI initiatives.

📈 Primary Responsibilities

• Champion the design of AI-enhanced features, including predictive UIs, generative workflows, and conversational interfaces, ensuring a seamless user experience.
• Translate complex machine learning concepts and model limitations (explainability, failure states) into simple, useful, and inclusive user experiences.
• Define and uphold ethical AI interaction patterns, working closely with the company's design standards and governance model to ensure responsible AI deployment.
• Prototype, test, and validate human-AI interactions using appropriate fidelity for each stage of the product development lifecycle and for diverse stakeholder audiences.
• Collaborate with data scientists to understand AI model capabilities and constraints, translating these into actionable design strategies.
• Contribute to product strategy by identifying opportunities where AI can deliver transformative value for customers and the business.
• Work across end-to-end customer journeys, ensuring AI solutions complement and enhance the broader user experience, not just isolated features.
• Drive the maturity and adoption of the internal design system, specifically by developing and integrating AI-related patterns and interaction guidelines.
• Participate in evolving governance processes for design standards, with a focus on source files, working practices, and accessibility within AI-powered designs.
• Act as a design advocate within your product space, mentoring peers and supporting the adoption of AI-related workflows and design best practices.
• Facilitate workshops and experimental review sessions to foster cross-pollination of ideas and encourage innovation in AI design.
• Champion inclusive design practices throughout the design output and within the team culture, ensuring AI solutions are accessible and equitable.
• Represent the design function confidently in high-trust, technical conversations across product, engineering, and data science teams.
• Present design concepts clearly and persuasively to stakeholders with varying levels of technical fluency, ensuring comprehension and buy-in.
• Proactively collaborate with product managers, engineers, and analysts to align on goals, define requirements, and ensure the successful shipment of high-quality AI-driven products.

📝 Enhancement Note: The responsibilities highlight a blend of core product design skills and specialized AI UX expertise. The emphasis on "ethical AI interaction patterns," "model boundaries, explainability, and failure states," and "responsible, ethical design" suggests a need for a designer who can balance innovation with user trust and safety in AI applications. The role requires not just creation but also strategic thinking, influencing, and mentorship within a cross-functional, data-driven environment.

🎓 Skills & Qualifications

Education:

• A Bachelor's or Master's degree in Design, Human-Computer Interaction (HCI), Computer Science, or a related field, or equivalent practical experience in product design.

Experience:

• Proven experience in product design, with a strong portfolio showcasing successful AI-integrated user experiences and products delivered at scale.
• Demonstrated ability to translate broad, conceptual ideas into desirable, usable, and measurable experiences that effectively support user and business goals.
• Hands-on experience as a Product Designer or AI UX Designer in a fast-paced, disciplined product development environment.
• Deep proficiency in conducting user validation using both quantitative and qualitative research methods, and a strong track record of applying these insights to inform and iterate on designs.
• Strong systems thinking mindset, with experience in evolving and maintaining large-scale enterprise design systems.
• A bias for action and the drive to identify product opportunities, resolve pain points, and iteratively improve the user experience.
• Comfortable with ambiguity, possessing the ability to bring clarity through storytelling, design rationale, and evidence-based decision-making.
• Strategic thinker with the ability to contribute to product vision, articulate design trade-offs, and influence cross-functional stakeholders.

Required Skills:

• Expertise in Product Design principles and methodologies, with a specific focus on AI-integrated user experiences.
• Strong understanding of AI/ML capabilities and constraints, with a deep commitment to responsible, ethical design for intelligent systems.
• Proficiency in Figma, the Adobe Creative Suite, and modern prototyping tools (e.g., Figma Make, Framer, Loveable, Replit or equivalent) for both design creation and interactive validation.
• Proven experience designing for iOS, Android, and responsive web environments, including the development of cross-platform solutions.
• Demonstrated ability in user validation through both quantitative and qualitative research methods.
• Experience in evolving and maintaining large-scale enterprise design systems, including AI-specific patterns.
• Strong systems thinking mindset to understand and design complex interactions.
• Excellent collaboration skills for working with product, engineering, and data science teams.
• Ability to articulate design rationale and storytelling to influence stakeholders.

Preferred Skills:

• Experience with generative AI, large language models (LLMs), or agentic AI in a product context.
• Familiarity with data science workflows and the ability to interpret data model outputs.
• Experience in the financial services or comparison market sectors.
• Skills in accessibility standards and inclusive design practices for AI.
• Experience mentoring junior designers or leading design initiatives.

📝 Enhancement Note: The required skills are heavily weighted towards practical application of design tools and a deep conceptual understanding of AI/ML. The emphasis on "Figma Make, Framer, Loveable, Replit" points to a need for designers who can create highly interactive and potentially code-adjacent prototypes, especially for AI features. The requirement for "large-scale enterprise design systems" indicates the company values consistency and scalability in its design output.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a clear, user-centered design process from research and ideation to high-fidelity design and validation, with a specific emphasis on AI-driven features.
• Showcase your ability to translate complex AI/ML concepts into simple, intuitive, and valuable user experiences, providing examples of how you've navigated these challenges.
• Include case studies that highlight your experience with end-to-end product lifecycles, from initial concept to scaled implementation, particularly where AI was a core component.
• Present examples of your work with design systems, detailing how you've contributed to or utilized them, and how you've adapted them for AI-specific patterns.
• Provide evidence of your user research and validation methodologies, demonstrating how you've used both qualitative and quantitative data to inform and iterate on your AI designs.

Process Documentation:

• Detail your approach to user research and validation for AI products, including methods for testing human-AI interactions and gathering feedback on complex features.
• Showcase your prototyping skills, illustrating how you've used tools to create interactive prototypes that effectively communicate AI functionality and user flows.
• Include examples of how you have collaborated with technical teams (engineers, data scientists) to understand AI capabilities and constraints, and how this informed your design decisions.
• Document your experience in defining and adhering to ethical design principles, particularly as they apply to AI and intelligent systems.

📝 Enhancement Note: The portfolio should not just be a collection of visual designs but a narrative of problem-solving, especially concerning AI integration. Candidates should be prepared to discuss their process for handling ambiguity, ethical considerations, and stakeholder management within AI product development. Specific examples of AI-enhanced features and the rationale behind their design will be crucial.

💵 Compensation & Benefits

Salary Range:

• Based on industry benchmarks for experienced Product Designers in London, UK, with a specialization in AI/Emerging Tech, a competitive salary range is estimated to be between £60,000 - £85,000 per annum. This range reflects the demand for specialized skills, the strategic importance of AI initiatives, and the cost of living in London.

Benefits:

• Holidays: Up to 27 days of annual leave plus bank holidays, offering ample time for rest and rejuvenation.
• Pension: Employer contribution up to 6% to a company pension scheme, supporting long-term financial security.
• Bonus Scheme: Eligibility for a company bonus scheme, rewarding performance and contribution.
• Digital Doctor on Demand: Access to on-demand medical consultations for convenience and health management.
• Work From Anywhere Scheme: Opportunity to work remotely from different locations for up to two weeks per year, promoting flexibility.
• Financial Coaching: Access to professional financial coaching to enhance personal financial literacy and planning.
• Mental Health Platform Access: Comprehensive support through a dedicated mental health platform, prioritizing employee well-being.
• LinkedIn Learning License: Individual access to over 16,000 courses for continuous professional development and skill expansion.

Working Hours:

• The role is based on a standard full-time work week, likely around 40 hours. While specific daily schedules are not detailed, the "Work from anywhere scheme" and the nature of hybrid work suggest a degree of flexibility in managing working hours, provided key responsibilities and collaboration needs are met.

📝 Enhancement Note: The salary estimate is based on publicly available data for similar roles in London. The benefits package is comprehensive, with a strong emphasis on employee well-being, financial health, and professional development, which are attractive to experienced professionals in the tech and design fields. The "Work from anywhere scheme" is a notable perk indicating a modern, flexible work environment.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services / Comparison Sites / Fintech. MONY Group plc operates in a dynamic sector focused on helping UK households save money through comparison platforms like MoneySuperMarket, MoneySavingExpert, and Quidco. The integration of AI and emerging tech signifies a commitment to innovation within this established industry. Company Size: MONY Group plc is a significant player, serving millions of unique monthly visitors. While the exact employee count isn't provided, its broad reach suggests a medium to large enterprise, offering opportunities for impact within a structured yet agile environment. Founded: Founded to help people save money, the company has a history rooted in customer advocacy and financial empowerment. The integration of AI and emerging tech represents the next evolution of this mission.

Team Structure:

• The AI Product Designer will be part of a product team, likely including Product Managers, Engineers, Data Scientists, and other Designers. This structure fosters cross-functional collaboration and shared ownership of product outcomes.
• The reporting structure is not explicitly detailed, but it's typical for Product Designers to report into a Head of Design, VP of Product, or a similar leadership role focused on user experience and product development.
• Cross-functional collaboration is a cornerstone of this role, with daily interactions expected with engineering, product management, and data science to embed AI capabilities effectively.

Methodology:

• Data analysis and insights are critical, especially in understanding customer behavior and the performance of AI models. The team likely employs a data-driven approach to decision-making.
• Workflow planning and optimization are key, with a focus on iterative development and continuous improvement of user experiences, particularly for AI-driven features.
• Automation and efficiency practices will be central to leveraging AI, aiming to streamline processes for both customers and internal teams.

Company Website: [MONY Group plc is associated with MoneySuperMarket, MoneySavingExpert, and Quidco. A general company website might be found by searching for these brands.]

📝 Enhancement Note: The company culture is described as creative, collaborative, ambitious, and diverse, with a strong emphasis on making a difference for customers. The mention of "lots of personality" and valuing "differences" suggests an inclusive and dynamic workplace. The focus on "working hard, going beyond, and making sure everyone feels they belong" points to a performance-oriented yet supportive environment.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a Mid-Senior level, requiring significant hands-on experience and the ability to lead design initiatives, particularly within the AI and emerging tech space. It demands a blend of strategic thinking and execution. Reporting Structure: The Product Designer will likely report into a Design Lead or Head of Product, working closely with Product Managers and Engineering Leads. This structure provides exposure to product strategy and technical execution, fostering a holistic understanding of product development. Operations Impact: The Product Designer will have a direct impact on customer savings through the design of intuitive AI-powered tools. By shaping "what's next for customers," they will influence user engagement, satisfaction, and the company's ability to deliver on its core mission of helping people save money. The introduction of AI is a strategic move to enhance this impact.

Growth Opportunities:

• Specialization in AI/Emerging Tech: Significant opportunities to deepen expertise in cutting-edge AI design principles, ethical AI, and human-AI interaction patterns, becoming a subject matter expert.
• Cross-functional Leadership: Potential to lead design aspects of major AI initiatives, influence product strategy, and mentor other designers, growing into more senior or lead design roles.
• Professional Development: Access to LinkedIn Learning and mentorship programs provides avenues for continuous skill enhancement, including leadership, technical AI knowledge, and advanced design techniques.
• Brand Exposure: Opportunity to work across multiple prominent brands (MoneySuperMarket, MoneySavingExpert, Quidco), broadening experience and understanding of different user segments and market needs.

📝 Enhancement Note: The role offers a clear path for growth into specialized AI design leadership. The company's investment in employee development, highlighted by LinkedIn Learning access, suggests a commitment to nurturing talent and providing opportunities for skill advancement in a high-demand field.

🌐 Work Environment

Office Type: The company offers a hybrid work model, allowing for a blend of in-office collaboration and remote flexibility. This suggests a modern, adaptable workspace designed to accommodate diverse working styles. Office Location(s): The primary office location is London, England. Specific details about the office environment or amenities are not provided but are likely to be professional and collaborative, supporting the company's culture.

Workspace Context:

• The workspace is expected to foster collaboration, with opportunities for in-person interaction with design peers, product managers, engineers, and data scientists.
• Access to modern design tools and technology is implied, given the focus on AI and emerging tech. This includes industry-standard software like Figma and Adobe Creative Suite, as well as potentially specialized AI/ML platforms.
• The environment encourages cross-pollination of ideas through workshops and experimental review sessions, promoting a culture of innovation and shared learning among operations and design teams.

Work Schedule:

• Full-time employment with flexibility offered through the "Work from anywhere scheme" and the hybrid model. This allows designers to balance work with personal needs while ensuring project commitments and team collaboration are met.

📝 Enhancement Note: The hybrid and "Work from anywhere" policies indicate a progressive work environment that values flexibility and employee autonomy, which can be particularly appealing for designers managing complex projects and requiring focused work time.

📄 Application & Portfolio Review Process

Interview Process:

• 15-minute Pre-screen Call: An initial screening with the Talent Acquisition team to assess basic qualifications and cultural fit. Be prepared to articulate your interest in AI design and MONY Group specifically.
• 30-minute Experience Call: A more in-depth discussion about your background, experience, and how they align with the role's requirements. Focus on your AI design projects and transferable skills.
• Short Task (Pre-Interview Preparation): You will be sent a task to complete in advance. This is likely to assess your design thinking, problem-solving skills, and approach to AI-related challenges. Prepare thoroughly, focusing on demonstrating your process and rationale.
• 60-minute Interview: This final stage will involve discussing your prepared task, alongside competency-based and behavioral questions. Expect to elaborate on your experience with AI, ethical considerations, collaboration, and how you handle complex design problems.

Portfolio Review Tips:

• Focus on AI Case Studies: Prioritize 2-3 case studies that clearly demonstrate your experience designing human-AI interactions. Highlight the problem, your process, the AI/ML concepts you worked with, the solutions you designed, and the outcomes.
• Showcase Your Process: For each case study, clearly outline your design process, including research, ideation, prototyping, user validation (qualitative and quantitative), and iteration. Explain why you made certain design decisions, especially those related to AI.
• Demonstrate Ethical Considerations: If possible, include a project where you actively considered ethical implications of AI or designed for responsible AI use. Explain your approach to ensuring fairness, transparency, and user trust.
• Highlight Tool Proficiency: Mention the specific tools used (Figma, Adobe Suite, prototyping tools) and how you leveraged them to achieve design goals, particularly for complex AI features.
• Quantify Impact: Where possible, use metrics to demonstrate the success of your designs, such as improvements in user engagement, task completion rates, or customer satisfaction related to AI features.

Challenge Preparation:

• Understand AI Concepts: Familiarize yourself with common AI/ML concepts (e.g., predictive models, generative AI, conversational AI) and their design implications. Think about how to design for explainability and manage user expectations around AI capabilities and limitations.
• Ethical AI Frameworks: Research best practices for ethical AI design. Consider how you would approach designing for transparency, bias mitigation, and user control in AI systems.
• Problem-Solving Scenarios: Anticipate design challenges related to integrating AI into existing products, handling data privacy, or explaining complex AI outputs to users. Prepare to walk through your thought process for solving these.
• Communication: Practice articulating your design decisions and rationale clearly and concisely, especially for technical and non-technical stakeholders.

📝 Enhancement Note: The interview process is structured to evaluate both technical design skills and strategic thinking. The pre-interview task is a critical component, so candidates should invest significant time in preparing a relevant and well-reasoned response. The portfolio review will heavily focus on practical application of AI design principles and the ability to articulate complex concepts and decisions.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, prototyping, and collaboration. Expect to use its advanced features for creating complex AI interaction flows and design system components.
• Adobe Creative Suite: Used for graphic design, illustration, and potentially asset creation for AI-driven interfaces.
• Modern Prototyping Tools: Proficiency in tools like Figma Make, Framer, Loveable, or Replit is required for creating interactive prototypes that effectively validate human-AI interactions and complex workflows.

Analytics & Reporting:

• While specific tools aren't listed, expect to work with analytics platforms (e.g., Google Analytics, Amplitude, Mixpanel) to understand user behavior with AI features.
• Familiarity with data visualization tools or dashboarding software might be beneficial for presenting user research findings and design performance metrics.

CRM & Automation:

• Not directly relevant to the design role, but understanding how CRM data and automation impact customer journeys can inform AI design strategies.

📝 Enhancement Note: The emphasis on Figma and advanced prototyping tools highlights the need for a designer who can create highly interactive and polished user experiences for AI features. The mention of specific tools like "Figma Make, Framer, Loveable, Replit" suggests that the company is looking for designers who are not just proficient but also innovative in their prototyping approach for emerging technologies.

👥 Team Culture & Values

Operations Values:

• Customer Focus: A core value is helping millions of people save money, meaning every design decision should ultimately benefit the user's financial well-being.
• Innovation & Ambition: The company encourages pushing boundaries and embracing new technologies like AI to deliver transformative value.
• Collaboration: Working effectively across product, engineering, and data science teams is paramount for integrating AI successfully.
• Inclusivity & Belonging: MONY Group is committed to creating a workplace where everyone feels they belong, valuing diversity and minimizing systemic bias in all aspects, including design output.
• Data-Driven Decision Making: Insights from data analysis and user research are used to inform design choices and measure impact.

Collaboration Style:

• Cross-functional Integration: Close collaboration with product managers, engineers, and data scientists is expected to ensure AI capabilities are well-understood and effectively implemented.
• Proactive Communication: Open and proactive communication is key to aligning goals, sharing design rationale, and receiving feedback from diverse stakeholders.
• Mentorship & Knowledge Sharing: The culture encourages mentoring peers and sharing knowledge, particularly around new workflows and AI design best practices, fostering a learning environment.

📝 Enhancement Note: The company culture appears to be a blend of high performance, customer advocacy, and a strong commitment to diversity and inclusion. The emphasis on "making a difference" and "going beyond" for customers and colleagues suggests a purpose-driven and collaborative environment.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: AI and emerging tech are rapidly evolving fields, requiring designers to be comfortable with uncertainty and to drive clarity through design.
• Ethical AI Implementation: Ensuring responsible, fair, and transparent AI interactions while balancing user experience and business goals presents a significant challenge.
• Translating Complex Concepts: Communicating and designing for complex machine learning concepts (like explainability and model limitations) in a way that is intuitive for users.
• Cross-functional Alignment: Effectively bridging the gap between design, data science, and engineering to ensure cohesive AI product development.

Learning & Development Opportunities:

• AI Design Specialization: Deepen expertise in human-AI interaction, ethical AI design, and the application of AI in financial services.
• Industry Trends: Stay at the forefront of AI and emerging technology trends through continuous learning and application.
• Cross-Disciplinary Skill Building: Gain exposure to data science methodologies and product management strategies through close collaboration.
• Mentorship: Benefit from mentorship within the design team and potentially from AI/data science experts.

📝 Enhancement Note: The challenges presented are inherent to working with cutting-edge technology and highlight opportunities for significant professional growth in a high-demand specialization. The company's investment in learning resources like LinkedIn Learning directly supports addressing these challenges and seizing growth opportunities.

💡 Interview Preparation

Strategy Questions:

• AI Integration Strategy: "How would you approach designing an AI-powered feature to help users save money more effectively on our platform? What are the key considerations for human-AI interaction in this context?" (Prepare to discuss user needs, AI capabilities, ethical guardrails, and your design process.)
• Cross-functional Collaboration: "Describe a time you had to collaborate with engineers or data scientists on a complex technical feature. How did you ensure alignment and successful delivery?" (Focus on communication, understanding technical constraints, and bridging knowledge gaps.)
• Problem-Solving with AI: "Imagine a scenario where an AI feature is not performing as expected or is providing confusing outputs. How would you diagnose the issue from a user experience perspective and what design solutions might you propose?" (Emphasize user empathy, iterative design, and understanding AI limitations.)

Company & Culture Questions:

• Company Alignment: "Why are you interested in MONY Group and specifically in designing AI-driven experiences for our brands?" (Research the company's mission, brands, and recent innovations in AI.)
• Team Dynamics: "How do you contribute to a collaborative team environment, especially when working with technical stakeholders?" (Highlight your communication style, openness to feedback, and ability to build consensus.)
• Impact Measurement: "How do you measure the success of your designs, particularly for AI-powered features, and how would you demonstrate the impact on user savings?" (Prepare to discuss relevant UX metrics and how they tie back to business goals.)

Portfolio Presentation Strategy:

• Narrative Flow: Structure your portfolio presentations with a clear story: problem, your role, process, solutions (with visual examples), and outcomes/impact.
• Highlight AI Focus: For AI case studies, explicitly call out the AI components, the specific challenges they presented, and how your design addressed them.
• Explain Design Rationale: Be prepared to articulate the "why" behind every design decision, especially those related to AI functionality, user trust, and ethical considerations.
• Showcase Process Artifacts: Include examples of user research findings, wireframes, prototypes, and usability testing results to demonstrate your end-to-end process.
• Interactive Elements: If possible, prepare a live demo of a relevant prototype or a walkthrough of key Figma screens to showcase your interaction design skills.

📝 Enhancement Note: Interview preparation should focus on demonstrating a deep understanding of AI design principles, ethical considerations, and the ability to articulate complex ideas clearly. Candidates should be ready to discuss their portfolio projects in detail, linking their design decisions to user needs and business objectives, especially related to AI integration.

📌 Application Steps

To apply for this AI Product Designer position:

• Submit your application through the provided Workday link.
• Portfolio Customization: Tailor your portfolio to prominently feature 2-3 case studies showcasing your experience with AI-integrated user experiences. Clearly articulate your process, the AI concepts involved, and the user-centric solutions you developed.
• Resume Optimization: Update your resume to highlight keywords relevant to AI product design, user experience, AI/ML capabilities, ethical design, and specific tools like Figma. Quantify achievements where possible, focusing on impact.
• Interview Preparation: Practice articulating your design rationale, discussing your portfolio projects in detail, and preparing for common AI design and behavioral questions. Rehearse your responses for clarity and conciseness.
• Company Research: Familiarize yourself with MONY Group's brands (MoneySuperMarket, MoneySavingExpert, Quidco), their mission, and any publicly available information on their AI initiatives or technology strategy. Understanding their customer focus will be beneficial.

⚠️ 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.