Product Designer

📍 Job Overview

Job Title: Product Designer

Company: Magentic

Location: London, England, United Kingdom

Job Type: FULL_TIME

Category: Product Design / UX Design

Date Posted: 2026-05-08

Experience Level: 5-10 Years

Remote Status: Hybrid (3-4 days in office/customer site)

🚀 Role Summary

• Drive the end-to-end product design strategy for AI agents, focusing on enterprise applications in procurement and supply chain management.

• Translate complex AI interactions and data-heavy use cases into intuitive, trustworthy, and user-friendly interfaces for daily business operations.

• Engage directly with customers to deeply understand their challenges and iteratively refine product solutions based on user feedback and real-world application.

• Collaborate closely with engineering teams to rapidly prototype, test, and implement innovative AI-driven product experiences, ensuring feasibility and seamless integration.

• Contribute to the evolution and maintenance of a robust design system and UX standards, ensuring consistency and scalability across the product suite.

📝 Enhancement Note: This role is specifically for a Product Designer focused on AI-native enterprise software within the complex domains of procurement and supply chain. The emphasis on "0->1 environments" and "ambiguity" suggests a need for a candidate comfortable with foundational product development and strategic design thinking, rather than just iterative refinement of existing products. The role requires a blend of strategic vision and hands-on execution.

📈 Primary Responsibilities

• Own the complete product design lifecycle, from initial concept and user research to final high-fidelity prototypes and collaborative development handoff.

• Conceptualize and design intuitive user interfaces and interaction models for complex AI agents that manage sophisticated procurement and supply chain workflows in real-time.

• Conduct user research, usability testing, and customer interviews to gather insights, validate design hypotheses, and ensure the product meets enterprise user needs.

• Develop comprehensive design artifacts, including wireframes, user flows, mockups, and interactive prototypes, to effectively communicate design concepts and solutions.

• Partner with product management and engineering teams to define product strategy, prioritize features, and ensure the technical feasibility and successful implementation of design solutions.

• Contribute to the development and refinement of Magentic's design system, ensuring consistent application of UI patterns, components, and UX principles.

• Champion user-centered design principles and advocate for the end-user throughout the product development process.

• Continuously iterate on designs based on user feedback, performance metrics, and evolving business requirements to enhance user experience and drive product adoption.

• Design for trust and transparency in AI systems, ensuring users understand how agents operate and can rely on their outputs for critical business decisions.

📝 Enhancement Note: The responsibilities highlight a deep dive into enterprise tooling and AI-native product design. The need to "design systems that people can actually understand and trust" is a critical aspect, implying a focus on explainability and transparency in the AI interactions. The emphasis on "0→1 environments" and "fast iteration" indicates a need for a designer capable of building from the ground up and embracing rapid prototyping cycles.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating mastery in Product Design, HCI, or a related field is essential.

Experience: 4-7+ years of dedicated experience in Product Design, with a significant portion focused on complex, data-heavy, or AI-native products.

Required Skills:

• Proven experience in end-to-end product design, from ideation to implementation.

• Expertise in designing complex, data-heavy, or AI-native products for enterprise users.

• Strong capability in translating intricate AI use cases and interactive concepts into simple, intuitive user interfaces.

• Proficiency in creating user flows, wireframes, low and high-fidelity mockups, and interactive prototypes.

• Demonstrated experience working in early-stage, "0→1" environments with a high degree of ambiguity.

• Strong UX sense with a talent for simplifying complexity and enhancing user experience.

• Ability to conduct user research, gather feedback, and iterate on designs based on user insights.

• Excellent collaboration skills, with experience working directly with users and closely with engineering teams.

Preferred Skills:

• Familiarity with supply chain, procurement, or other complex enterprise tooling domains.

• Experience in building or significantly contributing to comprehensive design systems.

• Understanding of AI agent capabilities and their application in business workflows.

• Experience with design tools that facilitate rapid iteration and prototyping.

📝 Enhancement Note: The experience requirement of "4-7+ years" combined with the "early-stage / 0→1 environments" context suggests that candidates with experience in startups or new product initiatives within larger organizations will be highly valued. The emphasis on "AI Native products" and "data-heavy" products indicates a preference for designers who can handle complex information architectures and novel interaction paradigms.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end product design projects, detailing your role and process from problem identification to solution implementation.

• Include case studies of complex, data-heavy, or AI-native products you have designed, highlighting how you simplified intricate functionalities for users.

• Demonstrate your ability to translate abstract concepts into tangible user interfaces with clear user flows and interactive prototypes.

• Present examples of user research methodologies employed and how insights directly informed design decisions and product iterations.

Process Documentation:

• Detail your approach to user problem definition and how you validate user needs through research and testing.

• Explain your process for translating complex requirements into intuitive design artifacts, from wireframes to high-fidelity mockups.

• Describe how you collaborate with engineering teams to ensure design feasibility and successful product implementation.

• Showcase examples of how you contributed to or utilized design systems to ensure consistency and efficiency in product development.

📝 Enhancement Note: For this role, the portfolio should strongly emphasize the candidate's ability to handle complexity and ambiguity, particularly in AI-driven or data-intensive product contexts. Case studies demonstrating a "0 to 1" product development journey and how user trust was established in a novel system will be highly advantageous.

💵 Compensation & Benefits

Salary Range: £100,000 - £110,000 per annum.

Explanation of Range: This salary range is competitive for a senior Product Designer in London, reflecting the specialized nature of designing AI-native enterprise products and the company's early-stage, high-growth environment. Factors considered include the candidate's significant experience requirement (4-7+ years), the hybrid work model, and the company's backing by prominent investors.

Benefits:

• Competitive Equity: A significant stake in Magentic's future success, aligning personal reward with company growth.

• Visa Sponsorship Available: Support for international candidates requiring visa assistance.

• In-office Lunches Provided: Catered meals to enhance the daily office experience and facilitate team interaction.

• Monthly Organised Socials: Company-funded events to foster team camaraderie and a positive work environment.

• Flexible Monthly Social Budget: Additional funds for informal team gatherings, encouraging connection and collaboration.

• Salary Sacrifice Pension Scheme: Opportunities to contribute to a pension plan with tax advantages.

• Nursery Schemes: Support for employees with young children, potentially offering childcare benefits or salary sacrifice options.

• Annual Team Retreat: A fully-funded off-site event for team building, strategic planning, and relaxation.

Working Hours: Standard full-time hours are expected, with a hybrid arrangement requiring 3-4 days in the London HQ per week. The specific daily schedule can likely be discussed, but the focus is on output and collaboration within core working hours.

📝 Enhancement Note: The salary range is explicitly stated and falls within typical senior-level product design compensation in London. The benefits package is comprehensive, with a notable emphasis on team building and employee well-being, alongside significant equity for an early-stage company. Visa sponsorship is a key benefit for attracting international talent.

🎯 Team & Company Context

🏢 Company Culture

Industry: AI / Enterprise Software / Supply Chain & Procurement Technology. Magentic operates at the cutting edge of AI, developing next-generation agentic systems to revolutionize manufacturing supply chains. This sector is characterized by rapid innovation, significant market opportunity ($3tn global market), and a drive towards increased efficiency and resilience.

Company Size: Early-stage, small team. This implies a dynamic, fast-paced environment where every team member has a significant impact. It also means opportunities for broad exposure and direct influence on product direction and company culture.

Founded: Information not explicitly provided, but the backing by Sequoia Capital and experienced team members suggests a relatively recent founding, likely within the last few years, focused on bringing a novel AI solution to market.

Team Structure:

• A small, highly experienced, and cross-functional team.

• Individuals bring diverse backgrounds from top-tier tech companies (OpenAI, Meta, Revolut), consulting (McKinsey), and government/research (NASA).

• Likely a flat hierarchy with direct access to founders and senior leadership.

Methodology:

• Data-Driven Product Development: Emphasis on understanding user problems and iterating based on data and customer feedback.

• Agile & Fast Iteration: Likely employing agile methodologies to enable rapid development and testing cycles, especially given the "0->1" nature of the product.

• User-Centric Design: A core tenet, ensuring that despite the technical complexity of AI, the user experience remains intuitive and trustworthy.

• Collaborative Environment: Strong emphasis on close collaboration between design, engineering, and product.

Company Website: https://www.magentic.com/

📝 Enhancement Note: The company's composition of ex-OpenAI, Meta, NASA, and McKinsey talent suggests a culture of high intellectual curiosity, rigorous problem-solving, and a focus on building impactful, scalable solutions. The "early-stage" nature combined with "0->1" product development implies a culture that values initiative, adaptability, and a willingness to wear multiple hats.

📈 Career & Growth Analysis

Operations Career Level: Senior Product Designer. This role is positioned as a key individual contributor responsible for significant product areas. It requires not just execution but also strategic input into product direction and design philosophy. The experience level (4-7+ years) reinforces this senior standing.

Reporting Structure: Likely reports to a Head of Product, Head of Design, or directly to one of the founders in an early-stage setup. The emphasis on close collaboration means frequent interaction with engineering leads and product managers.

Operations Impact: This role has a direct and profound impact on the success of Magentic's core product. By designing intuitive interfaces for complex AI systems, the Product Designer will be instrumental in driving user adoption, ensuring customer trust, and ultimately enabling the company to achieve its mission of making manufacturing supply chains more resilient. Success in this role directly contributes to the company's ability to capture its significant market opportunity.

Growth Opportunities:

• Product Leadership: Opportunity to shape the future of AI-driven enterprise software and influence product strategy from the ground up. As the company grows, potential to move into a Design Lead or Head of Design role.

• Specialization in AI UX: Deepen expertise in designing for novel AI interactions and agentic systems, a rapidly growing and highly sought-after specialization.

• Cross-functional Skill Development: Gain extensive experience working across product, engineering, and customer success in a high-growth startup environment.

• Impact on a $3tn Market: Contribute to solving critical challenges in a massive global market, offering significant professional fulfillment and visibility.

📝 Enhancement Note: The growth trajectory for a Senior Product Designer in an early-stage, well-funded startup like Magentic is typically rapid. This role offers a chance to not only hone core design skills but also to develop strategic product thinking and potentially leadership capabilities as the company scales. The unique challenge of designing for AI in enterprise supply chains provides a strong foundation for future specialization.

🌐 Work Environment

Office Type: Hybrid London HQ. This indicates a physical office space is available and utilized, but with flexibility for remote work. The "3-4 days in the office/customer site" requirement suggests a blend of collaborative in-office work and remote focus, potentially including client-facing engagements.

Office Location(s): London, England. Specific details regarding accessibility or amenities are not provided but are typical for a London-based tech hub.

Workspace Context:

• Collaborative Environment: The hybrid model and emphasis on team socials suggest a culture that values in-person interaction for brainstorming, problem-solving, and team bonding.

• Access to Modern Tools: As a tech company likely using modern design and development stacks, expect access to up-to-date software and hardware.

• Cross-functional Interaction: The small team structure will facilitate regular interaction with engineers, product managers, and potentially founders, fostering a dynamic and integrated work environment.

Work Schedule: Full-time employment with a hybrid arrangement. While core office days are specified, the nature of an early-stage startup may sometimes require flexibility to meet project deadlines or customer needs. The focus is likely on delivering results and achieving objectives.

📝 Enhancement Note: The hybrid model is a key feature, balancing the benefits of in-office collaboration with the flexibility of remote work. The requirement of 3-4 days in the office is significant, indicating a strong preference for in-person teamwork and culture building. This setup is ideal for candidates who thrive in collaborative environments but also value some autonomy.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess fit with the role's requirements and experience level.

• Portfolio Presentation & Discussion: A dedicated session where you present 1-2 key projects from your portfolio, discussing your process, challenges, and outcomes. This is critical for evaluating your design thinking and communication skills.

• Design Challenge/Exercise: Potentially a take-home assignment or an in-session exercise to assess your problem-solving abilities, design approach, and ability to translate complex requirements into design solutions.

• Cross-functional Interviews: Meetings with engineers, product managers, and potentially founders to assess collaboration style, technical understanding, and cultural fit.

• Final Interview: Often with senior leadership or founders to discuss overall vision, strategic alignment, and address any remaining questions.

Portfolio Review Tips:

• Focus on Impact: Clearly articulate the business impact and user value of your design solutions, using metrics where possible.

• Showcase Your Process: Detail your thought process, research methodologies, and iterative steps. Explain why you made certain design decisions.

• Highlight Complexity: Since this role involves complex AI and data, choose projects that demonstrate your ability to handle such challenges.

• Emphasize AI/Data-Heavy Experience: If you have direct experience with AI products or data visualization, make these projects prominent.

• Tailor to Magentic: Briefly explain how your skills and experience align with Magentic's mission, industry, and the specific challenges of designing for AI in enterprise supply chains.

• Be Ready to Discuss Ambiguity: Prepare to talk about how you’ve navigated uncertainty and built products from the ground up.

Challenge Preparation:

• Understand the Domain: Research AI agents, procurement, and supply chain workflows to grasp the context.

• Practice Problem-Solving: Be ready to break down a complex problem into smaller, manageable parts.

• Think User-Centric: Always frame solutions around user needs and pain points.

• Consider AI Implications: Think about how AI adds unique design considerations (e.g., trust, explainability, control).

• Prepare to Articulate Trade-offs: Be ready to discuss design decisions and the trade-offs you made.

📝 Enhancement Note: The interview process will heavily scrutinize a candidate's portfolio, particularly for their ability to handle complex AI interactions and enterprise-level challenges. Expect to demonstrate a strong grasp of user-centered design principles applied within a technical and data-intensive context. The "0->1" aspect means interviewers will look for initiative, adaptability, and strategic thinking in the absence of established processes.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping Software: Figma, Sketch, Adobe Creative Suite (Photoshop, Illustrator), InVision, or similar tools for creating wireframes, mockups, and interactive prototypes.

• User Research Platforms: Tools for user interviews, usability testing, and surveys (e.g., UserTesting.com, Maze, SurveyMonkey).

• Collaboration Tools: Slack, Jira, Confluence for team communication and project management.

Analytics & Reporting:

• Analytics Platforms: Understanding of how to use product analytics tools (e.g., Amplitude, Mixpanel, Google Analytics) to inform design decisions and measure impact, even if not directly using them daily.

• Data Visualization Tools: Familiarity with tools or concepts related to presenting data effectively, especially given the "data-heavy" product nature.

CRM & Automation:

• CRM Systems: Familiarity with enterprise CRM systems (Salesforce, HubSpot) is beneficial for understanding broader enterprise software ecosystems.

• Workflow Automation Concepts: Understanding how users interact with automated workflows will be key for designing AI agent interactions.

📝 Enhancement Note: While specific tools aren't listed, proficiency in industry-standard design and prototyping software like Figma is almost certainly expected. Given the AI and data-heavy nature of the product, experience with tools that support complex data visualization or interaction design for AI would be a significant plus. Familiarity with enterprise software ecosystems and concepts of workflow automation is also highly relevant.

👥 Team Culture & Values

Operations Values:

• Customer Empathy: A deep understanding of enterprise user needs and a commitment to solving their most pressing problems in supply chain and procurement.

• Intellectual Rigor: A culture that values deep thinking, data-driven decision-making, and a scientific approach to problem-solving.

• Bias for Action & Iteration: A willingness to move quickly, test ideas, and learn from failures in a fast-paced startup environment.

• Trust & Transparency: Essential for designing AI systems that users can rely on, fostering an environment where open communication and honest feedback are paramount.

• Excellence & Impact: A drive to build high-quality, impactful products that can transform a massive global market.

Collaboration Style:

• Highly Collaborative & Cross-Functional: Expect close working relationships with product managers, engineers, and potentially sales/customer success teams.

• Direct Communication: In a small, early-stage team, direct, clear, and honest communication is likely the norm.

• Shared Ownership: A culture where team members feel a sense of ownership over the product and its success, encouraging proactive contributions.

• Feedback-Oriented: Openness to giving and receiving constructive feedback to drive continuous improvement in both product and processes.

📝 Enhancement Note: The values likely mirror those of the founding team and early hires: a blend of ambitious vision, rigorous execution, and a strong user focus, all within the context of cutting-edge AI technology. Expect a culture that rewards initiative, adaptability, and a commitment to solving complex problems for enterprise clients.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Trust: Creating interfaces that make complex AI agents feel intuitive, reliable, and trustworthy for critical business operations. This involves tackling issues of explainability, control, and user confidence.

• Simplifying Extreme Complexity: Translating highly intricate procurement and supply chain workflows, powered by AI, into user-friendly experiences.

• Navigating Ambiguity in a 0->1 Environment: Building product design foundations and processes from scratch, requiring adaptability and proactive problem-solving.

• Balancing Innovation with Enterprise Needs: Developing cutting-edge AI solutions while ensuring they meet the practical demands and usability standards of large enterprises.

Learning & Development Opportunities:

• Specialization in AI UX: Become a leader in designing for advanced AI interactions and agentic systems, a rapidly growing field.

• Product Strategy Influence: Gain significant experience in shaping product direction and strategy in a high-growth startup.

• Cross-Disciplinary Learning: Work closely with AI researchers, engineers, and domain experts in supply chain and procurement.

• Leadership Potential: Opportunity to grow into design leadership roles as the company scales.

📝 Enhancement Note: The primary challenges revolve around the novelty of AI in enterprise contexts and the "0 to 1" nature of the product. Success will require not just design skills but also significant strategic thinking, user advocacy, and the ability to build trust in a new technological paradigm. The growth opportunities are substantial, offering deep expertise development and leadership potential.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a complex, data-heavy product. What were the biggest challenges, and how did you simplify the user experience?" (Focus on process, problem-solving, and user-centricity).

• "How would you approach designing an AI agent for procurement that needs to be both powerful and trustworthy for enterprise users?" (Assess understanding of AI UX, trust, and enterprise needs).

• "Walk us through a project where you worked in an early-stage, ambiguous environment. How did you define requirements and drive design forward?" (Evaluate adaptability, initiative, and 0-1 experience).

Company & Culture Questions:

• "What interests you most about Magentic's mission and the AI/supply chain space?" (Show genuine interest and research).

• "How do you approach collaboration with engineering and product teams?" (Highlight teamwork and communication skills).

• "Describe your ideal team culture and how you contribute to it." (Align with Magentic's likely values of collaboration, rigor, and impact).

Portfolio Presentation Strategy:

• Structure: For each case study, start with the business/user problem, your role and responsibilities, your design process (research, ideation, iteration), key design decisions and rationale, and the final outcome/impact.

• Highlight AI/Data: Emphasize any projects that involved complex data visualization, AI interactions, or enterprise-level workflows. Explain how you distilled complexity.

• Demonstrate 0->1: If applicable, clearly show how you took an idea from concept to a tangible product in an ambiguous setting.

• Quantify Impact: Use metrics (e.g., conversion rates, user satisfaction scores, efficiency gains) to demonstrate the success of your designs.

• Be Ready for Deep Dives: Expect questions on specific design choices, trade-offs, and alternative solutions you considered.

📝 Enhancement Note: Interview preparation should focus on demonstrating mastery in designing complex systems, a strong grasp of user-centered design applied to AI, and comfort with ambiguity. The portfolio presentation is a critical component, so candidates should meticulously prepare 1-2 strong case studies that directly address the core requirements of this role.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on Ashby.

• Curate Your Portfolio Strategically: Select 1-2 projects that best showcase your experience with complex, data-heavy, or AI-native products. Clearly articulate your role, the challenges faced, your design process, and the impact of your solutions, paying special attention to how you simplified intricate functionalities.

• Tailor Your Resume: Highlight keywords such as "Product Design," "UX Design," "AI Interaction Design," "Enterprise Software," "0->1 Environments," and any experience relevant to supply chain or procurement. Quantify achievements with metrics where possible.

• Prepare for a Deep Dive: Be ready to articulate your design philosophy, problem-solving approach, and how you collaborate with cross-functional teams. Practice presenting your portfolio projects concisely and effectively, anticipating questions about your decisions and trade-offs.

• Research Magentic: Understand the company's mission, the market they operate in ($3tn global opportunity in supply chains), and their investor backing. This demonstrates genuine interest and helps you align your responses with their strategic goals.

⚠️ 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.