Product Designer

📍 Job Overview

Job Title: Product Designer

Company: Multiverse

Location: London, England, United Kingdom

Job Type: FULL_TIME

Category: Product Design / UX/UI

Date Posted: 2026-05-08

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

Remote Status: Hybrid (3 days in office)

🚀 Role Summary

• Spearhead the end-to-end design of a cutting-edge AI Adoption Platform, a category-defining product within the EdTech space.

• Drive the creation of a visually compelling and highly usable interface that empowers enterprise workforces to leverage AI effectively.

• Employ a rapid, iterative design process, focusing on delivering value and gathering real-world data quickly.

• Contribute to the development and evolution of a comprehensive design system for the Adoption Product suite.

• Collaborate closely with Product Managers and Engineers in a high-velocity, startup-like environment.

📝 Enhancement Note: This role is positioned within a "startup inside Multiverse" focusing on "Adoption AI," indicating a high-impact opportunity to shape a new product from its early stages. The emphasis on "10x adoption results" and "category-defining product" suggests a need for innovative and user-centric design solutions that directly contribute to business growth and user success.

📈 Primary Responsibilities

• Conduct thorough user research, including interviews, usability tests, and heuristic reviews, to deeply understand user needs and pain points.

• Translate research findings and ambiguous signals into clear design briefs with defined scope and success criteria.

• Map comprehensive user journeys to identify critical friction points and opportunities for improvement.

• Design and iterate on product concepts from initial wireframes to high-fidelity, developer-ready UI.

• Build interactive prototypes to test role-specific AI use cases and gather user feedback for rapid iteration.

• Design user-centric workflows that simplify complex AI functionalities, making them accessible and empowering for all users.

• Leverage AI-augmented design tools to automate repetitive tasks and accelerate the design process.

• Contribute to the establishment and evolution of the visual language and design system for the Adoption Product suite, ensuring consistency and accessibility.

• Work in lockstep with Product Managers and Engineers to ensure designs are technically feasible and aligned with product goals.

📝 Enhancement Note: The responsibilities highlight a "0-1 Product Design" approach, emphasizing ownership from discovery through to implementation. The explicit mention of using AI as a "design partner" and "AI-augmented tools" is a critical differentiator for this role, suggesting a forward-thinking approach to design methodology.

🎓 Skills & Qualifications

Education: While no specific degree is listed, a Bachelor's degree in Design, Human-Computer Interaction, or a related field is often preferred for Product Designer roles, or equivalent practical experience.

Experience: 2-5 years of relevant experience in Product Design, UX/UI Design, or a similar role, with a proven track record of shipping digital products.

Required Skills:

• Portfolio: A strong portfolio showcasing exceptional UI design (layout, typography, color) and a deep understanding of UX principles (flow, hierarchy, usability).

• Figma Proficiency: Expert-level skills in Figma for wireframing, high-fidelity design, and building interactive prototypes.

• User Research & Analysis: Proven ability to conduct user interviews, usability testing, heuristic reviews, and translate findings into actionable design insights.

• Problem Framing: Skill in defining user problems, scope, and success criteria before initiating design work.

• User Journey Mapping: Experience in mapping complex user flows to identify friction points and optimize the user experience.

• Interaction Design: Solid understanding of interaction design principles to create intuitive and engaging user interfaces.

• Design System Contribution: Experience in contributing to or establishing design systems, ensuring brand consistency and scalability.

• Rapid Prototyping: Ability to create functional prototypes quickly to test concepts and gather feedback.

• AI-Native Workflow: Familiarity with or eagerness to adopt AI-augmented design tools and methodologies.

• Builder Mindset: A proactive, "driver" mentality, comfortable taking ownership and driving solutions from conception to completion.

• Collaboration: Excellent communication and collaboration skills to work effectively with cross-functional teams (Product, Engineering).

• Radical Candor: Ability to give and receive constructive feedback effectively, with a growth mindset.

Preferred Skills:

• Experience designing for enterprise software or SaaS products.

• Familiarity with AI-driven products or platforms.

• Experience in a fast-paced, startup environment.

• Understanding of accessibility standards and best practices.

📝 Enhancement Note: The emphasis on "Builder DNA" and "Radical Candor" points to a culture that values proactivity, ownership, and open communication. The explicit preference for "slow iterators" and "passive order-takers" suggests candidates who are decisive and user-advocating will be highly valued.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies: Showcase 2-3 comprehensive case studies that demonstrate your end-to-end design process. Each case study should clearly articulate:

  • The problem statement and the user/business need.
  • Your research methodology and key findings.
  • Your design process, including wireframes, user flows, and high-fidelity mockups.
  • The solutions you proposed and why.
  • The outcomes and impact of your design (quantifiable results are highly valued).
  • Your role and contributions, especially in a team setting.

• UI/UX Excellence: The portfolio should clearly exhibit a strong aesthetic sense, attention to detail in typography, color, and layout, alongside intuitive user flows and interaction design.

• Prototyping Examples: Include links to interactive prototypes (ideally built in Figma) that demonstrate the user experience and functionality of your designs.

• AI Integration: If possible, showcase any projects where you've explored or utilized AI-augmented design tools or designed AI-powered features.

Process Documentation:

• Problem Framing: Demonstrate how you translate ambiguous problems into clear, actionable design briefs with defined scope and success metrics.

• User-Centric Design: Show evidence of how user research and testing directly informed your design decisions and led to improved user outcomes.

• Iterative Design: Highlight examples of how you've iterated on designs based on feedback, data, or changing requirements, emphasizing speed and agility.

• Collaboration: Illustrate how you've worked with product managers and engineers, including how you've communicated design decisions and incorporated technical constraints.

📝 Enhancement Note: The interview process explicitly calls for a "Portfolio/case study Deep-Dive," making a well-structured and compelling portfolio paramount. The "Design Task" also involves rapid prototyping with an AI tool, suggesting the portfolio should reflect a candidate's ability to deliver functional prototypes quickly.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for a Product Designer with 2-5 years of experience in London, UK, the estimated salary range is £50,000 - £70,000 per annum. This estimate considers the company's unicorn status, the specific role's impact on a new product, and London's cost of living.

Benefits:

• Time Off: 27 days of holiday, plus 5 additional days (1 life event, 2 volunteer, 2 company-wide wellbeing days, 8 bank holidays).

• Health & Wellness:

  • Private medical insurance with Bupa.
  • Medical cashback scheme.
  • Life insurance.
  • Gym membership and wellness resources through Wellhub.
  • Mental health support via Spill.

• Hybrid Work: Collaboration in the office three days per week.

• Work-from-anywhere Scheme: Opportunity to work remotely for up to 10 days per year.

• Office Amenities: Well-stocked kitchen, regular social events, and weekly team catch-ups.

Working Hours: The standard working hours are 40 hours per week. The hybrid model offers some flexibility in coordinating in-office days, and the work-from-anywhere scheme provides additional flexibility.

📝 Enhancement Note: The salary range is an estimate based on typical compensation for mid-level Product Designers in London. Actual compensation may vary based on the candidate's specific experience, skills, and the company's compensation philosophy. The detailed benefits package indicates a strong focus on employee well-being and work-life balance.

🎯 Team & Company Context

🏢 Company Culture

Industry: EdTech (Education Technology) with a strong focus on AI and Tech adoption for workforce upskilling. Multiverse is a pioneer in this space, positioning itself as a leader in the "AI era" workforce transformation.

Company Size: 800+ employees, indicating a rapidly growing, established scale-up with significant operational capacity and resources. As a "UK's first EdTech unicorn" with a $1.7bn valuation, it signifies a successful, well-funded, and ambitious organization.

Founded: The company was founded in 2016. This relatively young age, combined with rapid growth, suggests a dynamic, innovative, and fast-paced culture.

Team Structure:

• The role is within the Adoption AI Team, described as a "small, high-velocity squad operating like a startup inside Multiverse." This implies a flat hierarchy, direct communication, and a high degree of autonomy and collaboration.

• This team is responsible for the "groundbreaking AI Adoption Platform," suggesting it's a strategic, growth-focused initiative.

Methodology:

• Startup Speed: The team operates with rapid iteration and a "ship fast" mentality to gather real-world data.

• Customer Value Focus: Design decisions are driven by solving customer problems and delivering measurable outcomes (e.g., "10x adoption results").

• AI Integration: AI is treated as a partner in both product functionality and design workflow.

• Data-Driven: Emphasis on gathering "real-world data" to inform design and product decisions.

• Ownership & Accountability: Team members are expected to be "drivers, not passengers," taking initiative to identify and solve problems.

Company Website: https://multiverse.io

📝 Enhancement Note: The company culture is clearly defined by its "Operating Principles" which emphasize speed, customer value, ownership, and AI utilization. This is a key aspect for candidates to understand and align with, particularly the "Be Decisive, Even in Ambiguity" and "AI to Deliver Outcomes" principles.

📈 Career & Growth Analysis

Operations Career Level: This is a Mid-Level Product Designer role (2-5 years of experience). It's a "greenfield opportunity" to design a "category-defining product from scratch," offering significant potential for impact and skill development. While not strictly an "operations" role in the traditional sense (RevOps, SalesOps), the designer's work directly impacts the operational efficiency and adoption of AI within enterprises, a core GTM and operational goal.

Reporting Structure: The designer will report within the "Adoption AI Team," a small, high-velocity squad. While a direct manager isn't specified, it's likely a Product Lead or Design Lead within that team, working closely with Product Managers and Engineers.

Operations Impact: The Product Designer's work is crucial for the success of the AI Adoption Platform. By creating an intuitive and effective user experience, the designer directly influences:

• Enterprise AI Adoption Rates: High adoption translates to more companies successfully integrating AI, a key business objective for Multiverse.

• Customer ROI: Improved AI usage by employees leads to measurable performance gains and ROI for clients, strengthening Multiverse's value proposition.

• Product Scalability: Designing a robust and user-friendly interface is essential for scaling the platform globally.

• Market Leadership: Crafting a category-defining product can solidify Multiverse's position in the EdTech and AI upskilling market.

Growth Opportunities:

• Product Ownership: Deep involvement in shaping a new, high-impact product from inception to scale.

• AI Design Expertise: Develop specialized skills in designing for AI-native workflows and leveraging AI tools in the design process.

• Design System Development: Contribute to building and evolving a significant design system.

• Leadership Potential: As the product and team grow, opportunities for technical leadership or specialization may emerge.

• Cross-functional Experience: Gain extensive experience working in a collaborative, agile environment with product and engineering.

• Industry Impact: Contribute to a mission-driven company that is transforming the workforce for the AI era.

📝 Enhancement Note: While this is a Product Designer role, its impact on operational efficiency and AI adoption within client organizations makes it highly relevant to GTM and operational success. The growth opportunities are significant due to the "greenfield" nature of the project.

🌐 Work Environment

Office Type: Hybrid work model, with a requirement to collaborate in the office three days per week. This suggests a balance between focused individual work and collaborative team interaction.

Office Location(s): The role is based in London, England. This implies access to a vibrant tech hub and opportunities for in-person networking and collaboration.

Workspace Context:

• Collaborative: The hybrid model is designed for team collaboration, idea sharing, and fostering team cohesion.

• Tools & Technology: The team utilizes AI-augmented design tools and Figma, indicating a modern, tech-forward workspace. Access to the latest design software and potentially AI tools is expected.

• Team Interaction: Regular weekly catch-ups and team events foster a sense of community and shared purpose within the Adoption AI squad. The "stocked kitchen" and "space to connect" suggest an office environment that encourages informal interaction.

Work Schedule: Standard 40-hour work week, with the hybrid model allowing for structured in-office collaboration and flexibility on remote days. The "work-from-anywhere" scheme offers additional flexibility for personal needs or travel.

📝 Enhancement Note: The hybrid model and emphasis on collaboration suggest an environment where team dynamics and in-person synergy are valued, even within a tech-focused role. The "work-from-anywhere" perk is a significant benefit for work-life integration.

📄 Application & Portfolio Review Process

Interview Process:

• 1. Portfolio/Case Study Deep-Dive: Be prepared to walk through your most impactful case study in detail. Focus on the problem, your process, your specific contributions, the rationale behind your design decisions, and the resulting impact. Anticipate questions about your approach to user research, problem framing, and iteration.

• 2. Design Task (Live Session): This is a practical, hands-on assessment. You will use an AI tool (of your choice) to prototype a solution for an AI Adoption use case. The focus is on your thinking process, problem-solving approach, and ability to leverage AI tools, rather than a perfectly polished UI. Be ready to articulate your strategy and chosen tool.

• 3. Squad & Values Fit: A conversation with the Adoption team to assess cultural alignment and how you embody Multiverse's "Operating Principles" (e.g., customer value, decisiveness, AI utilization, ownership) under pressure. Be ready to share examples of how you've demonstrated these principles in past roles.

Portfolio Review Tips:

• Storytelling: Structure your case studies as compelling narratives. Explain the "why" behind every decision.

• Show, Don't Just Tell: Include visual artifacts (wireframes, mockups, user flows, prototypes) to illustrate your process and solutions.

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your designs (e.g., increased conversion, reduced task time, higher adoption rates).

• Highlight Your Role: Clearly define your specific contributions, especially if you worked in a team.

• Focus on Process: Emphasize your understanding of the design process, from research to iteration and shipping.

• AI Tool Demonstration: For the task, choose an AI tool you are comfortable with and can quickly demonstrate. Prepare a clear use case and be ready to explain your choices.

Challenge Preparation:

• AI Use Case Familiarity: Research common AI adoption challenges in enterprise settings to better understand potential use cases.

• Prototyping Speed: Practice rapid prototyping in Figma to ensure you can deliver a functional prototype within a limited timeframe.

• Articulate Your Thinking: Be prepared to verbalize your thought process clearly and concisely during the live design session. Explain the trade-offs you're making and why.

• Operating Principles: Familiarize yourself with Multiverse's Operating Principles and prepare examples of how you embody them.

📝 Enhancement Note: The interview process is designed to assess both technical design skills and the candidate's ability to thrive in a fast-paced, AI-centric, and collaborative team environment. The live design task with an AI tool is a unique element requiring specific preparation.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for all aspects of design, from wireframing to high-fidelity mockups and interactive prototyping. Proficiency is mandatory.

• AI-Augmented Design Tools: Candidates are expected to use AI tools to enhance their design process (e.g., for asset generation, task automation, idea generation). The specific tools are flexible, but familiarity or a willingness to learn is key.

Analytics & Reporting:

CRM & Automation:

• Not directly relevant to the Product Designer's day-to-day tools, but understanding the business context of CRM and automation within enterprise AI adoption could be advantageous.

📝 Enhancement Note: The explicit requirement for Figma proficiency and the encouragement to use AI-augmented design tools are critical technical requirements. Candidates should be prepared to discuss their experience with these tools and their approach to integrating AI into their workflow.

👥 Team Culture & Values

Operations Values: (Interpreted through "Operating Principles")

• Solve for Customer Value: Prioritize user needs and business outcomes in all design decisions. Demonstrate how designs directly contribute to customer success and ROI.

• Drivers, Not Passengers: Take initiative, ownership, and accountability for user journeys and product improvements. Proactively identify and solve problems.

• Be Decisive, Even in Ambiguity: Embrace speed as a strategy. Be comfortable making decisions and shipping V1 to gather data, rather than getting stuck in analysis paralysis.

• AI to Deliver Outcomes: Treat AI as a design partner and leverage AI tools to enhance efficiency and outcomes. Demonstrate a forward-thinking approach to technology.

• High Learning Slope: Be receptive to feedback, actively seek critiques, and continuously learn and adapt.

Collaboration Style:

• Lockstep Collaboration: Work in tight alignment with Product Managers and Engineers, ensuring seamless integration of design into the development process.

• Radical Candor: Engage in open, honest, and constructive feedback exchanges with team members.

• Startup Velocity: Operate with agility and speed, fostering a culture of rapid iteration and quick decision-making.

• Cross-functional Synergy: Contribute to a team environment where diverse perspectives (product, engineering, design) converge to create the best possible product.

📝 Enhancement Note: The "Operating Principles" are the core of the team's culture. Candidates should be able to articulate how they embody these principles through their work style and past experiences. The emphasis on speed and decisiveness is a key cultural differentiator.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: Working on a "greenfield opportunity" and a "category-defining product" means navigating significant ambiguity and defining new UX patterns.

• Rapid Iteration Pace: The "startup speed" and need to "ship fast" can be demanding, requiring efficient workflows and quick decision-making.

• Balancing Speed and Quality: Ensuring that rapid iteration doesn't compromise the overall quality and usability of the product.

• Integrating AI: Effectively designing complex AI workflows into intuitive and accessible user experiences for a broad enterprise audience.

• Establishing a New Design System: Building a design system from scratch requires strategic thinking and meticulous execution.

Learning & Development Opportunities:

• AI Design Specialization: Become an expert in designing for AI-powered products and leveraging AI in design workflows.

• Product Vision & Strategy: Gain deep insights into product strategy and market positioning for a category-defining product.

• Scalable Design Systems: Develop expertise in creating and maintaining scalable design systems for growing product suites.

• Startup Environment Acumen: Hone skills in working effectively in a high-growth, agile startup setting.

• Direct Impact: See the tangible results of your design work on user adoption and business outcomes in a highly visible project.

📝 Enhancement Note: The challenges presented are inherent to working on innovative, early-stage products. The growth opportunities are substantial, offering a chance to develop specialized skills and make a significant career impact.

💡 Interview Preparation

Strategy Questions:

• "Walk us through a case study where you had to define the problem and scope from ambiguous user signals. How did you approach it, and what was the outcome?" (Assesses problem framing, research skills, and impact).

• "Describe a time you had to make a significant design decision with limited data or under tight deadlines. How did you approach it, and what did you learn?" (Assesses decisiveness, speed, and learning from ambiguity).

• "How do you use AI tools in your design process today, or how would you envision using them to improve efficiency and outcomes for this role?" (Assesses AI adoption and forward-thinking approach).

Company & Culture Questions:

• "How do you embody Multiverse's Operating Principle of 'Solve for Customer Value' in your design work?" (Assesses alignment with company values).

• "Describe your experience working in a fast-paced, 'startup' environment. What are the pros and cons for you as a designer?" (Assesses cultural fit and adaptability).

Portfolio Presentation Strategy:

• The Narrative: For your chosen case study, craft a clear, concise story. Start with the "why" (the problem), detail the "how" (your process and solutions), and end with the "what" (the impact).

• Visual Aids: Use high-quality visuals (wireframes, mockups, prototypes) to illustrate your points. Ensure they are easy to understand and directly support your narrative.

• Define Your Role: Be explicit about your contributions, especially if you worked in a team. Use "I" when talking about your specific actions and "we" when discussing team efforts.

• Focus on Decisions: Explain the rationale behind key design decisions. Why did you choose a particular UI pattern, flow, or interaction?

• Quantify Success: Whenever possible, present metrics that demonstrate the positive impact of your designs.

• Prepare for the Design Task: Practice rapid prototyping in Figma. Have a few potential AI tools in mind that you could use for the live task and be ready to explain your choice and approach.

📝 Enhancement Note: Candidates should prepare specific examples that directly align with Multiverse's Operating Principles and the role's emphasis on AI and rapid iteration. The interview process is designed to be dynamic and practical, requiring more than just theoretical knowledge.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on Ashby.

• Portfolio Customization: Ensure your portfolio prominently features 2-3 strong case studies that highlight your end-to-end design process, problem-solving skills, and quantifiable impact. Tailor your portfolio to showcase UI/UX excellence and any experience with AI-augmented tools.

• Resume Optimization: Update your resume to emphasize relevant experience in Product Design, UX/UI, Figma proficiency, user research, and rapid prototyping. Use keywords from the job description, such as "AI Adoption," "greenfield opportunity," and "design systems."

• Interview Preparation: Practice articulating your design process and decision-making through case study presentations. Prepare for the live design task by familiarizing yourself with AI design tools and practicing rapid prototyping in Figma. Be ready to discuss how you embody Multiverse's Operating Principles.

• Company Research: Thoroughly research Multiverse, its mission, its AI Adoption Platform, and its company culture. Understand their "Operating Principles" and be prepared to discuss how your values and work style align.

⚠️ 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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