Product Designer

📍 Job Overview

Job Title: Product Designer Company: Faculty AI Location: London, England, United Kingdom Job Type: Full-time Category: Product Design / User Experience (UX) Date Posted: 2025-09-11 Experience Level: Mid-Level (2-5 years) Remote Status: On-site

🚀 Role Summary

• This Product Designer role focuses on enhancing user experiences across Faculty AI's Applied AI consulting offerings, bridging user needs with business objectives.
• The position involves end-to-end design, from discovery and user research to prototyping, usability testing, and final handover to engineering.
• A key aspect is contributing to and scaling design systems, ensuring consistency and efficiency across products and client projects.
• The role requires strong collaboration with cross-functional teams, including product managers, engineers, and AI consultants, to deliver impactful digital products.

📝 Enhancement Note: While the title is "Product Designer," the description heavily emphasizes User Experience (UX) and the integration of user needs with business objectives. The mention of "Applied AI consulting business" and "public and private sector projects" suggests a focus on B2B and potentially government-facing products, requiring a blend of user-centricity and robust design system thinking. The need for security clearance indicates a potential focus on sensitive projects within National Security or Defence sectors.

📈 Primary Responsibilities

• Collaborate with cross-functional teams, including AI consultants, product managers, and engineers, to conceptualize and design user-centric solutions for both internal products and external client projects.
• Conduct comprehensive user research, including interviews, surveys, journey mapping, and usability testing, to gather actionable insights and inform design decisions.
• Translate research findings and complex requirements into intuitive, visually appealing, and functional user interfaces (UI) and user experiences (UX).
• Create and iterate on design artifacts such as wireframes, prototypes, user flows, and high-fidelity mockups using Figma, ensuring alignment with user needs and business goals.
• Contribute to the development, maintenance, and scaling of Faculty AI's design system, promoting consistency, efficiency, and best practices across all product touchpoints.
• Partner closely with product managers to define product strategy and roadmaps, and work with engineers to ensure successful implementation of designs, providing clear specifications and assets.
• Champion accessibility best practices throughout the design process, ensuring products are usable by the widest possible audience.
• Support the design of data-heavy B2B products, focusing on clarity, efficiency, and effective data visualization for professional users.

📝 Enhancement Note: The responsibilities highlight a hands-on design role with significant collaboration and a focus on translating complex AI/consulting services into user-friendly product experiences. The emphasis on design systems and supporting client projects suggests a need for adaptable design skills and the ability to work within various project contexts, including those that might adhere to specific government design standards like GDS.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's degree in Design, Human-Computer Interaction (HCI), Computer Science, or a related field is often preferred for foundational knowledge in design principles and user-centered methodologies. Equivalent practical experience will also be considered. Experience: Minimum of 3 years of professional experience in a UX or Product Designer role, with a proven track record of delivering high-quality design solutions.

Required Skills:

• Demonstrated expertise in user experience (UX) design principles and methodologies.
• Proficiency in conducting user research, including user interviews, journey mapping, and usability testing.
• Ability to translate research findings and complex requirements into effective design solutions and user flows.
• Strong UI design skills with a deep understanding of visual design principles and application.
• Expert-level proficiency in Figma for wireframing, prototyping, and high-fidelity design.
• Excellent collaboration and communication skills, with a proven ability to work effectively within cross-functional teams.
• A creative and iterative problem-solving mindset, with a willingness to adapt designs based on feedback.
• Experience working on B2B or data-heavy products, understanding the unique design challenges they present.
• Knowledge of accessibility best practices (WCAG standards) and their implementation in design.

Preferred Skills:

• Exposure to or working knowledge of the Government Design System (GDS) for public sector projects.
• Experience supporting product design for clients in the National Security or Defence sectors.
• Familiarity with design system development and management.
• Experience working across the full product lifecycle, from discovery to handover.

📝 Enhancement Note: The requirements point towards a designer who can handle both strategic design thinking (research, journey mapping) and tactical execution (Figma, UI design). The preference for GDS and sector-specific experience suggests that candidates with prior exposure to UK government digital standards or sensitive project environments will have an advantage.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing end-to-end product design projects, demonstrating a strong UX focus.
• Examples of user research methodologies applied, including how insights were gathered and utilized to drive design decisions.
• Case studies detailing the design process from problem definition to final solution, highlighting iterative improvements and user feedback integration.
• Prototypes and high-fidelity mockups created in Figma, illustrating UI design skills and attention to detail.
• Demonstrations of contributions to or creation of design systems, showing consistency and scalability.
• Evidence of working on B2B or data-intensive products, showcasing an ability to design for complex functionalities and professional users.

Process Documentation:

• Showcase of how user research findings are translated into actionable design requirements and user stories.
• Examples of design iteration based on usability testing and user feedback, detailing the process of refinement.
• Documentation of collaboration with product managers and engineers, illustrating clear communication and handover processes.
• Examples of how accessibility best practices were integrated into the design workflow.

📝 Enhancement Note: Candidates should prepare a portfolio that not only displays visual design skills but critically, the thought process and user-centered methodology behind their work. Demonstrating a structured approach to design, research, and collaboration is key, especially given the B2B and potential government client context.

💵 Compensation & Benefits

Salary Range: For a Product Designer with 3+ years of experience in London, the typical salary range can be between £50,000 to £70,000 per annum, depending on the candidate's specific experience, portfolio, and the exact responsibilities within Faculty AI. Benefits:

• Competitive salary and potential for performance-based bonuses.
• Comprehensive health insurance coverage.
• Generous paid time off (holiday and sick leave).
• Opportunities for professional development, training, and attending industry conferences.
• Pension scheme contributions.
• Access to cutting-edge AI technology and a stimulating work environment with industry-leading experts.
• Potential for involvement in high-impact projects for significant public and private sector clients.

Working Hours: Standard full-time working hours are typically around 40 hours per week, with flexibility offered where possible to accommodate project needs and individual circumstances, though the role is listed as on-site.

📝 Enhancement Note: The salary estimate is based on London market rates for mid-level Product Designers in the tech/consulting sector. Faculty AI's focus on AI and consulting may position them to offer competitive benefits reflective of a high-growth, specialized company.

🎯 Team & Company Context

🏢 Company Culture

Industry: Faculty AI operates within the Applied Artificial Intelligence (AI) and AI Consultancy sector, bridging technology innovation with real-world business applications for public and private sector clients. Company Size: Faculty AI is a growing company with a significant employee base, indicating a dynamic environment with opportunities for impact and progression, while still fostering a sense of community. Founded: Founded over a decade ago, Faculty AI has established a strong reputation and deep expertise in AI, evolving from its initial focus to become a leader in applied AI solutions and consulting.

Team Structure:

• The Product Design team likely works closely with Product Management, Engineering, and AI/Data Science teams, forming cross-functional project squads.
• Designers may report to a Head of Design or a Design Lead, with a structure that supports both individual contribution and team collaboration.
• Collaboration is expected with business development and client-facing consultants to understand client needs and translate them into product requirements.

Methodology:

• Faculty AI likely employs agile methodologies for product development, with design integrated into sprints.
• A data-driven approach is central to their AI focus, meaning design decisions should be informed by user data, A/B testing, and performance metrics.
• Emphasis is placed on human-centric AI, ensuring that technological advancements are grounded in user needs and ethical considerations.

Company Website: https://faculty.ai

📝 Enhancement Note: Faculty AI positions itself as a place for intellectually curious individuals who want to work on challenging, impactful AI projects. The culture is likely collaborative, fast-paced, and focused on continuous learning, especially given its expertise in cutting-edge AI.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a mid-level, requiring 3+ years of experience. It offers the opportunity to grow into a Senior Product Designer role, potentially leading design initiatives or specializing in specific product areas or client sectors. Reporting Structure: The Product Designer will likely report to a Design Lead or Head of Product, working within a matrixed structure alongside product managers and engineering leads on various client and internal projects. Operations Impact: The Product Designer's work will directly influence the usability, adoption, and success of Faculty AI's software products and client-facing AI solutions. By creating intuitive interfaces, they will enhance user satisfaction, drive efficiency, and contribute to the overall business objectives of Faculty AI and its clients.

Growth Opportunities:

• Skill Specialization: Deepen expertise in specific areas like user research, interaction design, design systems, or accessibility.
• Leadership Development: Progress to a Senior Designer role, mentoring junior designers, leading design strategy for key products, or managing design projects.
• Cross-Functional Exposure: Gain experience working with diverse teams on complex AI projects across different industries, including sensitive sectors like National Security and Defence.
• Industry Recognition: Contribute to projects that push the boundaries of applied AI, potentially leading to industry recognition or speaking opportunities.

📝 Enhancement Note: The career path for a Product Designer at Faculty AI likely involves significant growth through exposure to complex, real-world AI challenges and a diverse client base. The emphasis on applied AI means continuous learning and adaptation will be crucial for career advancement.

🌐 Work Environment

Office Type: The role is specified as on-site in London, suggesting a collaborative office environment designed to foster teamwork and innovation. Office Location(s): Faculty AI's office is located in London, providing access to a vibrant tech and business ecosystem. Specific details about office amenities and accessibility would be available upon inquiry or during the interview process.

Workspace Context:

• The workspace is expected to be modern and equipped with the necessary tools for design and collaboration.
• Expect opportunities for direct interaction with a diverse team of AI experts, consultants, and product professionals.
• The environment will likely encourage knowledge sharing and a hands-on approach to problem-solving, typical of a forward-thinking tech consultancy.

Work Schedule: While a standard 40-hour work week is typical for full-time, on-site roles, Faculty AI may offer some degree of flexibility to manage project demands and ensure work-life balance. However, the on-site requirement means adherence to office hours will be primary.

📝 Enhancement Note: The on-site requirement in London emphasizes the importance of in-person collaboration and immersion in Faculty AI's innovative culture. Candidates should be prepared for a dynamic office setting that supports deep work and team interaction.

📄 Application & Portfolio Review Process

Interview Process:

• Application & Screening: Submit resume and portfolio. Initial screening by HR or a hiring manager to assess qualifications and fit.
• Initial Interview: A conversation with a hiring manager or senior team member to discuss experience, motivations, and understanding of the role and Faculty AI.
• Design Challenge/Portfolio Review: A practical exercise or a deep dive into the candidate's portfolio, focusing on design process, problem-solving, UX methodology, and Figma proficiency. This may involve presenting a case study.
• Cross-functional Interview: Meeting with potential colleagues from product, engineering, or AI teams to assess collaboration skills and cultural fit.
• Final Interview: Potentially with a senior leader or director to discuss strategic alignment and career aspirations.

Portfolio Review Tips:

• Structure is Key: Organize your portfolio by project, clearly outlining the problem, your role, the process, the solution, and the impact.
• Show Your Process: Emphasize the "why" behind your design decisions. Detail your user research, ideation, prototyping, and testing stages.
• Figma Proficiency: Showcase your ability to create high-fidelity designs and interactive prototypes in Figma. Highlight any contributions to design systems.
• Quantify Impact: Where possible, use metrics to demonstrate the success of your designs (e.g., improved conversion rates, reduced task completion time, increased user satisfaction).
• Tailor to Faculty AI: Highlight projects that align with B2B, data-heavy products, or any work that demonstrates an understanding of government or complex enterprise environments.

Challenge Preparation:

• Understand Faculty AI's Domain: Research Faculty AI's work in Applied AI, their client sectors, and their mission.
• Brush Up on UX Fundamentals: Be ready to discuss core UX principles, research methods, and usability heuristics.
• Practice Figma: Ensure you are comfortable with advanced Figma features and can articulate your workflow.
• Prepare for Data-Heavy Design: Think about how you would design interfaces for complex data visualization and analysis.
• Accessibility: Be ready to discuss how you incorporate accessibility into your designs.

📝 Enhancement Note: The interview process is likely rigorous, with a strong emphasis on practical design skills and the ability to articulate a user-centered design process. A well-curated portfolio that demonstrates problem-solving and impact will be crucial for success.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, wireframing, prototyping, and collaboration. Proficiency is a must.
• Prototyping Tools: Beyond Figma, familiarity with tools like InVision, Marvel, or Axure may be beneficial for specific project needs.
• User Research Platforms: Experience with tools for user surveys, testing, and analytics (e.g., UserTesting.com, Maze, SurveyMonkey, Google Analytics).

Analytics & Reporting:

• Analytics Tools: Familiarity with tools like Google Analytics, Mixpanel, or Amplitude for understanding user behavior and product performance.
• Data Visualization Tools: Exposure to tools that help present data effectively, which is relevant for data-heavy products.

CRM & Automation:

• While not directly a design tool, understanding how products integrate with CRM systems (like Salesforce) or utilize automation workflows can be beneficial for context in B2B product design.

📝 Enhancement Note: The core technical requirement is Figma expertise. However, a broader understanding of the product development ecosystem, including user research tools and analytics platforms, will make a candidate more valuable.

👥 Team Culture & Values

Operations Values:

• Intellectual Curiosity: A drive to learn and understand complex problems, particularly in AI and technology.
• Impact-Driven: Focus on delivering tangible results and creating meaningful change for clients and users.
• Collaboration: Working effectively in multidisciplinary teams, valuing diverse perspectives.
• Human-Centricity: Prioritizing user needs and ethical considerations in the application of AI.
• Excellence: Striving for high quality in all aspects of work, from design execution to client delivery.

Collaboration Style:

• Expect a highly collaborative environment where designers work closely with product managers, engineers, and AI specialists.
• Open communication and feedback are encouraged to foster innovation and continuous improvement.
• Designers are expected to be proactive in seeking input and aligning with team goals.

📝 Enhancement Note: Faculty AI likely fosters a culture of high-achievers who are passionate about AI and its applications. The emphasis on collaboration and intellectual curiosity suggests a team that is both supportive and challenging.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for complex, data-heavy B2B products or AI-driven services that may have steep learning curves for users.
• Working within the specific constraints and requirements of public sector or National Security/Defence clients, potentially including adherence to strict design guidelines like GDS.
• Balancing user needs with technical feasibility and business objectives in a fast-paced consulting environment.
• Staying abreast of rapid advancements in AI and their implications for user experience design.

Learning & Development Opportunities:

• Deepen expertise in AI-specific product design challenges and user research methods.
• Gain exposure to diverse industries and client problems, enhancing adaptability and breadth of experience.
• Develop skills in design systems and scalable design practices.
• Opportunities to learn from leading experts in AI, data science, and consulting.

📝 Enhancement Note: The primary challenge and growth opportunity lie in applying design skills to cutting-edge AI technology and diverse client needs, requiring continuous learning and adaptation.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex B2B product you designed. What were the key UX challenges, and how did you address them?" (Focus on process, research, and outcomes).
• "How do you ensure your designs are accessible, especially for data-heavy applications?" (Highlight knowledge of standards and practical implementation).
• "Walk us through a project where you collaborated closely with engineers and product managers. What was your contribution, and how did you handle disagreements?" (Demonstrate communication and teamwork).
• "Given Faculty AI's work in applied AI, how would you approach designing a user interface for a new AI-powered analytics tool?" (Showcase strategic thinking and domain understanding).

Company & Culture Questions:

• "What interests you about Faculty AI's mission and its work in applied AI?" (Research Faculty AI's website, recent projects, and values).
• "How do you stay updated on the latest trends in UX design and AI?" (Showcase continuous learning).
• "Describe a time you received critical feedback on your design. How did you respond?" (Demonstrate receptiveness to feedback and iterative improvement).

Portfolio Presentation Strategy:

• Storytelling: Frame each project as a narrative, guiding the interviewer through your problem-solving journey.
• Focus on Process: Dedicate significant time to explaining your research, ideation, and iteration phases.
• Highlight Figma Skills: Be prepared to discuss specific Figma features used and demonstrate interactive prototypes.
• Quantify Impact: Use data to support the success of your designs; if direct metrics aren't available, discuss anticipated impact or user feedback insights.
• Address GDS/B2B: If you have relevant experience, explicitly call it out and explain how it applies to Faculty AI's context.

📝 Enhancement Note: Candidates should prepare to articulate their design process thoroughly and demonstrate how their skills align with Faculty AI's focus on applied AI, B2B products, and potential government sector work.

📌 Application Steps

To apply for this Product Designer position:

• Submit your resume and a link to your online portfolio through the provided application link on Ashby.
• Portfolio Customization: Ensure your portfolio prominently features end-to-end UX case studies, highlighting your process, Figma proficiency, and any experience with B2B or data-heavy products. Tailor your project selection to showcase relevant skills for Faculty AI.
• Resume Optimization: Clearly articulate your 3+ years of experience, emphasizing UX design, user research, prototyping, and collaboration. Use keywords from the job description naturally.
• Interview Preparation: Practice discussing your design process, research methodologies, and Figma workflows. Prepare to answer questions about your experience with complex products and how you handle cross-functional collaboration.
• Company Research: Familiarize yourself with Faculty AI's mission, services, and client base. Understand their approach to applied AI and any specific sector expertise (like National Security/Defence) that might be relevant.

⚠️ 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.