AI Product Designer (£60k-£70k) at Fast-growing digital product agency

📍 Job Overview

Job Title: AI Product Designer

Company: Fast-growing digital product agency (Recruiting via Jack & Jill)

Location: London, UK

Job Type: Full-time

Category: Product Design / AI & Machine Learning

Date Posted: 2026-02-19

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

• Lead end-to-end product design for diverse client projects, with a specific focus on AI and Machine Learning applications.

• Develop and scale sophisticated design systems to support clients transitioning from concept to market-ready digital products.

• Drive innovation by shaping the agency’s internal AI-driven workflows and contributing to business growth strategies.

• Collaborate closely with cross-functional teams to solve complex technical challenges and maintain a high standard of visual excellence.

• Apply foundational design principles for data-rich applications and leverage emerging AI technologies to create impactful user experiences.

📝 Enhancement Note: While the primary focus is Product Design, the explicit mention of AI, Machine Learning, and AI-driven workflows positions this role within the intersection of design and advanced technology, requiring a strong understanding of data-rich applications and emerging AI capabilities. The "fast-growing digital product agency" context suggests a dynamic environment with diverse client projects and a need for adaptable design solutions. The recruitment is facilitated by an AI platform (Jack & Jill), indicating a modern approach to talent acquisition.

📈 Primary Responsibilities

• Spearhead the complete product design lifecycle for a variety of client engagements, from initial user research and conceptualization through wireframing, to the development of high-fidelity interactive prototypes.

• Design, build, and continuously evolve scalable and robust design systems that empower clients to efficiently move from early-stage ideas to polished, market-ready digital products.

• Foster deep collaboration with engineering, product management, and other cross-functional teams to navigate and resolve complex technical hurdles while upholding exceptionally high standards of visual design and user experience.

• Conduct thorough user research and competitive analysis to inform design decisions and identify opportunities for innovation in AI-powered products.

• Contribute to the agency's internal operational efficiency by exploring and implementing AI-driven workflows and design methodologies, thereby enhancing service delivery and business growth.

• Present and articulate strategic design decisions, research findings, and prototype demonstrations to internal teams and external client stakeholders, ensuring clear communication and buy-in.

📝 Enhancement Note: The responsibilities emphasize a full-stack design approach, from foundational research to system evolution, with a strong AI/ML technology focus. The inclusion of shaping internal AI workflows highlights a unique opportunity for the candidate to influence operational processes within the agency itself, requiring an understanding of how AI can optimize design delivery.

🎓 Skills & Qualifications

Education: While no specific degree is listed, a strong educational foundation in Design (e.g., Interaction Design, Graphic Design, Human-Computer Interaction) or a related field is implied by the experience requirements and role responsibilities.

Experience: Minimum of 5 years of professional experience in crafting digital products, specifically within startup, agency, or consultancy environments, supported by a comprehensive and strong portfolio.

Required Skills:

• Product Design Leadership: Proven ability to lead end-to-end product design projects from concept to launch.

• AI & Machine Learning Application Design: Deep understanding of design principles for data-rich applications and a demonstrable passion for emerging AI technologies.

• Research & Discovery: Expertise in conducting user research, competitive analysis, and translating insights into actionable design strategies.

• Prototyping & Wireframing: Proficiency in creating interactive prototypes and detailed wireframes using industry-standard tools.

• Design Systems Development: Experience in building, scaling, and maintaining comprehensive design systems.

• Cross-functional Collaboration: Strong ability to work effectively with engineering, product, and other stakeholders.

• Communication & Presentation: Excellent verbal and written communication skills, with the ability to present complex design decisions clearly to diverse audiences.

• Growth Mindset: Adaptability, a willingness to experiment, and a proactive approach to learning and problem-solving.

Preferred Skills:

• Experience with "vibe coding" or similar experimental design methodologies.

• Familiarity with AI-driven workflows within design processes.

• Experience working with global clients.

• A portfolio showcasing AI-powered products or data-intensive applications.

📝 Enhancement Note: The experience requirement of "over 5 years" suggests this is not an entry-level role, and the mention of a "strong portfolio" is critical. The emphasis on AI and data-rich applications indicates a need for candidates who can think beyond traditional UI/UX and understand the nuances of designing for intelligent systems.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end product design case studies demonstrating ownership from research to final execution.

• Highlight projects involving AI, Machine Learning, or complex data applications, detailing the unique design challenges and solutions.

• Include examples of scalable design systems, illustrating their structure, components, and impact on design consistency and efficiency.

• Demonstrate proficiency in wireframing, prototyping, and user flows for diverse digital products.

Process Documentation:

• Provide evidence of a structured design process, including how research insights are synthesized and applied to design decisions.

• Illustrate how design systems are developed and maintained, including version control and documentation practices.

• Detail methodologies used for cross-functional collaboration and stakeholder communication throughout the design process.

• Showcase examples of how the candidate has contributed to or shaped internal workflows, particularly those leveraging new technologies like AI.

📝 Enhancement Note: For this role, the portfolio is paramount. It must not only demonstrate design craft but also strategic thinking, an understanding of AI/ML product development, and the ability to build scalable systems. The agency's "vibe coding" and AI-driven workflow hints suggest that candidates who can showcase innovative or experimental approaches in their portfolio will stand out.

💵 Compensation & Benefits

Salary Range: £60,000 - £70,000 per annum.

Benefits:

• Opportunity to work on cutting-edge AI-powered products for global clients.

• Direct influence on business direction and company culture within a well-funded team.

• Culture of experimentation, including "vibe coding" and new methodologies.

• Collaborative environment with industry veterans.

• Potential for significant professional growth and development in a fast-paced agency setting.

Working Hours: The stated working hours are 40 hours per week, typical for full-time roles. Given the agency environment and on-site nature, flexibility may be expected, but core hours will likely align with standard business operations in London.

📝 Enhancement Note: The salary range is competitive for an experienced AI Product Designer in London. The benefits are more qualitative, focusing on the unique aspects of the agency's culture and the cutting-edge nature of its work, rather than a list of standard corporate perks. The £60k-£70k range aligns with senior-level design roles in tech-focused agencies in the UK.

🎯 Team & Company Context

🏢 Company Culture

Industry: Digital Product Agency / Technology Services / AI & Machine Learning Consulting. The agency specializes in building digital products, with a significant focus on leveraging AI and Machine Learning.

Company Size: Described as "fast-growing," suggesting a dynamic and expanding team. While an exact number isn't provided, this implies a size that allows for significant influence but is likely beyond a small startup, possibly in the 50-200 employee range given the "well-funded team of industry veterans" description.

Founded: Not specified, but the "fast-growing" and "well-funded" nature indicates a relatively established entity that is scaling rapidly, likely within the last 5-10 years.

Team Structure:

• The AI Product Designer will likely be part of a design team, potentially reporting to a Head of Design or a Design Lead.

• Close collaboration is expected with product managers, AI/ML engineers, front-end developers, and client stakeholders.

• The agency structure probably includes dedicated project teams for each client engagement.

Methodology:

• Emphasis on human-centered design principles applied to AI and data-rich applications.

• Agile methodologies are likely employed for project delivery, common in digital product agencies.

• A culture of experimentation ("vibe coding") suggests an openness to exploring new tools, techniques, and workflows.

• Data-driven decision-making is implied by the focus on AI and analytics.

Company Website: https://www.jackandjill.ai (Note: This appears to be the recruitment platform's website, not the agency's, but it's the provided URL.)

📝 Enhancement Note: The agency's culture is characterized by rapid growth, innovation in AI, and a unique approach to recruitment and design execution. Candidates should be comfortable with a fast-paced, experimental, and collaborative environment. The "well-funded" aspect suggests stability and resources for growth.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a senior-level Product Designer, specifically focusing on AI and ML. It requires over 5 years of experience, indicating a desire for an individual who can lead projects and contribute strategically, not just execute tasks. The opportunity to "shape the agency’s internal AI-driven workflows" points to a role with significant impact and potential for operational influence.

Reporting Structure: The candidate will likely report to a design lead or director, working within project-based teams. The "industry veterans" mentioned suggest a team with deep expertise, offering mentorship opportunities.

Operations Impact: The AI Product Designer will have a direct impact on client success by creating effective AI-powered digital products. Furthermore, by shaping internal AI-driven workflows, the role has the potential to significantly improve the agency's operational efficiency, scalability, and service delivery. This dual impact on client outcomes and internal processes is a key growth lever.

Growth Opportunities:

• Technical Specialization: Deepen expertise in designing for AI/ML applications, becoming a go-to specialist within the agency and for clients.

• Leadership Development: Progress into a lead designer or design manager role, overseeing project teams and mentoring junior designers.

• Strategic Influence: Play a key role in defining the agency's approach to AI product design and internal operational improvements.

• Methodology Innovation: Contribute to the development and adoption of new design methodologies, particularly those leveraging AI and experimental coding.

• Client Relationship Management: Develop strong client relationships through impactful design work and strategic consultation.

📝 Enhancement Note: This role offers a clear path for growth beyond pure design execution, into strategic influence and operational improvement within an AI-focused agency. The combination of client-facing work and internal process shaping provides a unique development trajectory.

🌐 Work Environment

Office Type: On-site in London, UK. As a "fast-growing digital product agency," the office is likely to be modern, collaborative, and designed to foster innovation.

Office Location(s): London, UK. Specific office address is not provided but is implied to be a central London location conducive to agency work and client meetings.

Workspace Context:

• Collaborative Hub: The office environment is expected to encourage interaction, brainstorming, and team-based problem-solving, essential for complex AI product design.

• Technology-Enabled: Access to necessary hardware, software, and potentially advanced tools for AI-assisted design and prototyping would be standard.

• Dynamic Atmosphere: A fast-paced agency setting implies a vibrant, energetic workplace where creative thinking is encouraged.

• Client Interaction: Opportunities to host clients or visit client sites for collaboration and presentations will be part of the work.

Work Schedule: Standard full-time, 40 hours per week. While on-site, the agency culture might allow for some flexibility in working hours, but core collaboration times and client needs will dictate the schedule. The focus will be on delivering results and meeting project milestones.

📝 Enhancement Note: The on-site requirement in London suggests a need for candidates who are either local or willing to relocate. The office environment is likely geared towards creative collaboration and client engagement, fitting the profile of a modern digital agency.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Contact (Jack): A preliminary AI-driven call with "Jack" to understand candidate experience, career aspirations, and suitability. This is a screening mechanism to gather foundational information.

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

If a strong match is identified, an introduction will be made to the hiring company.

• Hiring Company Interviews: This will likely involve multiple stages:
  • Portfolio Review & Discussion: A deep dive into the candidate's portfolio with design leads or hiring managers, focusing on AI/ML product design case studies, design systems, and process.
  • Technical/Design Challenge: Potentially a take-home assignment or an in-person/virtual design exercise to assess problem-solving skills, design thinking, and application of AI/ML design principles.
  • Cross-functional Team Interviews: Meetings with engineers, product managers, or other team members to assess collaboration style and technical understanding.
  • Cultural Fit & Stakeholder Interviews: Discussions with senior leadership or founders to evaluate alignment with company values, growth mindset, and ability to present strategic decisions.

Portfolio Review Tips:

• Structure is Key: Organize your portfolio into distinct case studies, each detailing the problem, your role, the process, your solutions, and the outcomes (quantified where possible).

• Highlight AI/ML Focus: Dedicate significant attention to projects involving AI, ML, or complex data applications. Clearly explain the unique design considerations and how you addressed them.

• Showcase Design Systems: Present your experience in building and scaling design systems. Show examples of components, guidelines, and how they were implemented.

• Demonstrate Process: Walk through your design process, emphasizing research, ideation, iteration, and collaboration. Explain why you made certain decisions.

• Quantify Impact: Whenever possible, include metrics that demonstrate the success of your designs (e.g., user engagement, conversion rates, efficiency gains).

• Tailor to the Agency: Research the agency's work and clients. If possible, subtly tailor your presentation to align with their known style or areas of expertise.

Challenge Preparation:

• Understand the Brief: If a challenge is given, thoroughly understand the objectives, constraints, and deliverables.

• Embrace AI/ML: Frame your approach and solutions with an AI/ML perspective, considering data implications, user trust, and algorithmic outputs.

• Time Management: Practice working within time limits, prioritizing key aspects of the design process.

• Clear Communication: Be prepared to articulate your thought process, design decisions, and trade-offs clearly and concisely.

📝 Enhancement Note: The application process is unique, starting with an AI interaction. Candidates should be prepared for a rigorous portfolio review that heavily emphasizes AI/ML design expertise and the ability to articulate complex problem-solving processes.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (Illustrator, Photoshop), InVision, ProtoPie, or similar for wireframing and high-fidelity interactive prototyping.

• Design Systems: Tools for component libraries, style guides, and documentation (e.g., Zeroheight, Storybook integration, internal wikis).

• AI/ML Design Considerations: While specific tools aren't mentioned, familiarity with concepts of AI explainability, data visualization best practices for complex datasets, and user interaction patterns for AI-driven features will be crucial.

Analytics & Reporting:

• Experience with analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude) to understand user behavior and product performance.

CRM & Automation:

• While not directly a CRM role, understanding how user data flows from marketing/sales (CRM) into product features, and how product usage data is fed back, is beneficial.

• Familiarity with project management tools (e.g., Jira, Asana, Trello) for cross-functional team collaboration.

📝 Enhancement Note: Proficiency in industry-standard design tools is expected. The key differentiator will be the candidate's ability to apply these tools within the context of AI/ML product development and the design of data-rich applications. Familiarity with AI-specific design considerations and data visualization is highly advantageous.

👥 Team Culture & Values

Operations Values:

• Innovation & Experimentation: A strong drive to explore new technologies (like AI) and methodologies ("vibe coding") to push creative boundaries and improve processes.

• Excellence & Quality: Maintaining a high bar for visual design and user experience across all client projects.

• Collaboration & Teamwork: Working effectively in cross-functional teams to solve complex problems and deliver exceptional results.

• Client Focus: Dedication to understanding and meeting client needs, delivering impactful digital products.

• Growth & Learning: A commitment to continuous professional development and staying ahead of emerging trends in design and technology.

Collaboration Style:

• Cross-functional Integration: Close working relationships with engineers, product managers, and AI specialists are essential for successful AI product development.

• Open Communication: A culture that encourages open feedback, constructive criticism, and transparent discussion of ideas and challenges.

• Agile & Iterative: Working in iterative cycles, with regular check-ins and adaptations based on feedback and evolving project requirements.

• Shared Ownership: A sense of collective responsibility for project success, fostering a supportive and team-oriented environment.

📝 Enhancement Note: The agency values a proactive, experimental, and highly collaborative approach. Candidates who thrive in dynamic environments and are motivated by innovation, particularly in the AI space, will be a strong cultural fit.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Ambiguity: Navigating the inherent complexity and often abstract nature of AI/ML functionalities to create intuitive and trustworthy user experiences.

• Rapid Technological Evolution: Keeping pace with the fast-changing landscape of AI and ML technologies and their design implications.

• Balancing Client Needs with Innovation: Delivering on client project requirements while also pushing the boundaries with new AI-driven features and design approaches.

• Shaping Internal Processes: Influencing and implementing new AI-driven workflows within the agency, which requires change management and stakeholder buy-in.

• Diverse Client Projects: Adapting design strategies and methodologies to a wide range of client industries and product types.

Learning & Development Opportunities:

• AI/ML Design Specialization: Gaining deep expertise in a rapidly growing and high-demand field.

• Exposure to Cutting-Edge Tech: Working with advanced AI technologies and innovative product concepts.

• Mentorship from Veterans: Learning from experienced industry professionals within a well-funded and growing agency.

• Process Improvement Impact: Directly contributing to and improving the agency's operational efficiency and service delivery through AI integration.

• Portfolio Expansion: Building a robust portfolio with high-impact AI-driven product design case studies.

📝 Enhancement Note: The role presents significant opportunities for professional growth in a high-demand specialization, balanced by the challenges inherent in designing for emerging technologies and fostering innovation within an agency setting.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for designing a feature that leverages machine learning. How do you handle user trust and transparency with AI?"

• "How would you go about building a scalable design system for an AI-powered product? What are the key considerations?"

• "Walk us through a challenging client project where you had to balance technical constraints with user experience goals. What was your approach, and what was the outcome?"

• "How do you stay updated with the latest advancements in AI and how might they influence product design?"

Company & Culture Questions:

• "What attracts you to our agency's focus on AI and its experimental approach to design?"

• "How do you see yourself contributing to our culture of innovation and 'vibe coding'?"

• "What are your expectations regarding collaboration with AI engineers and product managers?"

Portfolio Presentation Strategy:

• Storytelling: Frame each case study as a narrative, guiding the interviewer through the problem, your journey, and the solution.

• Visual Emphasis: Ensure high-quality visuals. Show sketches, wireframes, prototypes, and final UIs.

• Process Clarity: Clearly articulate your design process and the rationale behind your decisions, especially concerning AI/ML aspects.

• Impact Metrics: Highlight quantifiable results wherever possible.

• AI/ML Specifics: For relevant projects, dedicate time to explain the AI/ML components, the data considerations, and how you designed for them. Be prepared for deep technical questions in this area.

📝 Enhancement Note: Interview preparation should heavily focus on articulating the candidate's experience with AI/ML product design, design systems, and their ability to contribute to an innovative, collaborative agency culture. Quantifiable results and a clear design process are critical.

📌 Application Steps

To apply for this AI Product Designer position:

• Visit the Jack & Jill website (https://jackandjill.ai) and click 'Talk to Jack'.

• Engage in the initial AI-driven conversation to share your experience and career aspirations.

• Ensure your resume and portfolio are up-to-date, with a strong emphasis on AI/ML product design, design systems, and end-to-end case studies.

• Be prepared for a rigorous portfolio review and potential design challenges that assess your ability to work with AI technologies and complex data.

• Research the agency's work and culture to understand their approach to design and AI innovation.

⚠️ 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.