Product Designer, Enterprise

📍 Job Overview

Job Title: Product Designer, Enterprise

Company: Scale AI

Location: London, UK

Job Type: Full-time

Category: Product Design / User Experience (UX) / AI Products

Date Posted: January 20, 2026

Experience Level: Mid-Senior (4+ years)

Remote Status: On-site

🚀 Role Summary

• Design and refine user experiences for cutting-edge AI-powered applications tailored for major enterprise clients, including Fortune 500 companies and high-profile media organizations.

• Lead end-to-end design initiatives for Scale's Generative AI Platform (SGP), focusing on making complex AI workflows intuitive and accessible for technical and non-technical users.

• Drive the design process from conceptualization through to implementation, ensuring a high standard of quality, usability, and visual polish for AI-driven products.

• Collaborate closely with cross-functional teams, including Product Managers, Machine Learning Engineers, Backend Engineers, and Frontend Engineers, to translate complex requirements into elegant design solutions.

• Contribute to and evolve the company's design system to maintain consistency and scalability across a diverse range of AI and enterprise use cases.

📝 Enhancement Note: This role is positioned within Scale AI's Enterprise AI team, focusing specifically on building AI-powered applications and the GenAI Platform (SGP). The emphasis on "zero to one" experience and "complex, technical products" suggests a need for designers who can operate autonomously and tackle ambiguous problems common in early-stage product development within a larger, well-funded company. The "ambition shapes reality" ethos points to a culture that values proactive ownership and a "get-it-done" attitude.

📈 Primary Responsibilities

• User Experience Design: Conceive and iterate on user flows, wireframes, prototypes, and high-fidelity UI designs for enterprise-grade AI applications, ensuring seamless integration of complex functionalities.

• End-to-End Design Ownership: Take full responsibility for the design lifecycle of new features and products within the GenAI Platform, from initial concept development and user research to final implementation and post-launch iteration.

• Cross-Functional Collaboration: Actively partner with product management, engineering (ML, backend, frontend), and other key stakeholders to define product strategy, gather requirements, and ensure design solutions align with technical feasibility and business objectives.

• User Research & Validation: Plan and execute user research activities, including interviews, usability testing, and feedback analysis, to inform design decisions and validate hypotheses for AI-driven user interactions.

• Prototyping & Hypothesis Testing: Develop interactive prototypes at various fidelities to quickly test and validate design concepts and user experience assumptions, particularly concerning novel AI capabilities.

• Design System Contribution: Enhance and maintain the company's design system, ensuring design consistency across all products while adapting it to accommodate the unique demands of advanced AI and enterprise workflows.

• Technical Product Design: Design intuitive interfaces for complex technical products, catering to sophisticated users such as developers, data scientists, and ML engineers, while also considering broader enterprise user needs.

📝 Enhancement Note: The responsibilities highlight a blend of strategic product thinking and hands-on execution. The emphasis on "complex AI workflows" and designing for "technical audiences" indicates a need for a designer capable of understanding and simplifying intricate technical concepts. The requirement to "lead end-to-end design efforts" suggests a significant level of autonomy and ownership.

🎓 Skills & Qualifications

Education: Bachelor's degree in Design, Human-Computer Interaction (HCI), Computer Science, or a related field, or equivalent practical experience.

Experience: 4+ years of professional experience in product design, with a strong emphasis on designing complex, technical, or AI-powered applications. Demonstrated experience in fast-paced, tech-forward environments, ideally with exposure to startup or scale-up settings, including "zero-to-one" product development.

Required Skills:

• Product Design (End-to-End): Proven ability to own and execute the entire product design process, from discovery and ideation through to detailed UI and final implementation.

• User Experience (UX) Design: Deep understanding of UX principles, user-centered design methodologies, and the ability to translate complex user needs into intuitive and effective solutions.

• Prototyping: Proficiency in creating interactive prototypes using tools like Figma or Sketch at various fidelity levels to test and communicate design concepts.

• User Research: Experience conducting user interviews, usability testing, and synthesizing research findings to inform design decisions and validate product hypotheses.

• Cross-Functional Collaboration: Excellent ability to work effectively with product managers, engineers (ML, backend, frontend), and other stakeholders, fostering strong working relationships.

• Wireframing & UI Design: Skilled in creating clear wireframes, user flows, and polished user interfaces that meet both functional and aesthetic requirements.

• Design Systems: Experience contributing to, maintaining, or utilizing design systems to ensure consistency and efficiency in product development.

• Communication Skills: Articulate and persuasive communication abilities, capable of presenting complex design concepts and rationale to diverse stakeholder groups.

• Pragmatic Approach: Ability to balance user needs, technical constraints, and business objectives to deliver impactful products efficiently.

• Interest in AI: A genuine interest and understanding of Artificial Intelligence concepts and applications, particularly in the context of enterprise solutions.

Preferred Skills:

• Experience with AI/ML Products: Prior experience designing products specifically within the AI or Machine Learning domain.

• Technical Audience Design: Specific experience designing for highly technical users such as developers, data scientists, or ML engineers.

• Startup/Scale-Up Experience: Previous work in early-stage or rapidly scaling technology companies, demonstrating adaptability and ownership.

• "Zero-to-One" Product Development: Proven track record of bringing new products from concept to market.

• Familiarity with Enterprise SaaS: Understanding of the nuances and requirements of designing for enterprise software solutions.

• Advanced Design Tools: Proficiency with a broader range of design and prototyping tools beyond Figma and Sketch.

📝 Enhancement Note: The requirements strongly emphasize practical experience and a proactive, ownership-driven mindset. The "portfolio showcasing ownership of end-to-end product design" is critical, especially for complex or AI-related products. The mention of "technical audiences" and "AI applications" suggests that candidates with a technical background or a demonstrated ability to grasp complex technical concepts will be highly valued.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• End-to-End Case Studies: Showcase at least 2-3 comprehensive case studies detailing your involvement in the complete product design lifecycle for complex, technical, or AI-powered products.

• Ownership & Impact: Clearly demonstrate your ownership and the impact of your design contributions, highlighting how your work solved specific user problems or achieved business objectives.

• Process Documentation: Illustrate your design process, including user research methodologies, ideation techniques, wireframing, prototyping, UI design, and iteration based on feedback or data.

• Technical/AI Product Focus: Prioritize projects that involve complex systems, technical domains, AI/ML applications, or enterprise software, showcasing your ability to handle intricate product challenges.

• Problem/Solution Framing: Clearly articulate the problem you were solving, the constraints you faced, your design rationale, and the final solution, including key metrics or outcomes if available.

Process Documentation:

• Workflow Design & Optimization: Demonstrate experience in mapping out, designing, and improving complex user workflows, particularly for AI-driven applications or enterprise platforms.

• User Research Integration: Show how user research directly informed and shaped your design decisions throughout the process, with examples of research methods used and insights gained.

• Iterative Design & Prototyping: Provide examples of how you used prototyping and iterative design to test hypotheses, gather feedback, and refine user experiences.

• Cross-Functional Alignment: Illustrate how you collaborated with engineering and product teams to ensure designs were technically feasible and aligned with project goals.

📝 Enhancement Note: For a Product Designer role, especially in an AI and enterprise context, the portfolio is paramount. It needs to go beyond just polished visuals and must clearly articulate the "why" and "how" behind the design decisions, demonstrating a strategic and problem-solving approach. The emphasis on "complex, technical, or AI-powered products" means candidates should curate their most relevant work.

💵 Compensation & Benefits

Salary Range:

Based on industry benchmarks for a Product Designer with 4+ years of experience in London, UK, specializing in enterprise and AI products, the estimated salary range is between £65,000 and £90,000 per annum. This range can vary based on the candidate's specific experience, portfolio, and interview performance.

Benefits:

• Comprehensive Health Coverage: Including medical, dental, and vision insurance.

• Generous Paid Time Off: Vacation days, sick leave, and public holidays.

• Retirement Savings Plan: Such as a pension scheme with potential company matching.

• Professional Development: Opportunities for training, conferences, and continuous learning in AI and design.

• Stock Options/Equity: Potential for equity participation in a high-growth tech company.

• Commuter Benefits: Support for travel to the London office.

• Access to Cutting-Edge Technology: Work with advanced AI tools and collaborate on innovative projects.

Working Hours:

The standard working hours are typically 40 hours per week. While the role is on-site, the company may offer some flexibility in daily start and end times, subject to team and project needs. Core collaboration hours will be expected to ensure effective cross-functional teamwork.

📝 Enhancement Note: Salary estimates for London are based on data from reputable job boards and salary aggregators, considering the specified experience level and the specialized nature of AI/Enterprise Product Design. Benefits are typical for a tech company of Scale AI's profile, with a focus on professional growth and well-being relevant to a high-demand role.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI) Data Foundry, AI Platform, Enterprise Software, Generative AI. Scale AI operates at the forefront of AI development, providing foundational data and platforms that enable advanced AI applications across various sectors.

Company Size: Scale AI is a rapidly growing company that has achieved Unicorn status, indicating a significant valuation and a substantial employee base. This implies a dynamic environment with both established processes and the agility of a scale-up.

Founded: Scale AI was founded in 2016. This relatively short history, combined with its rapid growth and significant funding rounds, suggests a culture of innovation, speed, and ambition.

Team Structure:

• Enterprise AI Team: This team is central to the role, focusing on building AI-powered applications and the GenAI Platform for enterprise clients.

• Cross-Functional Collaboration: Designers work closely with Product Managers, ML Engineers, Backend Engineers, and Frontend Engineers, indicating a highly collaborative and integrated product development process.

• Design Team: While not explicitly detailed, the presence of a design team implies opportunities for mentorship, peer review, and shared learning within the design discipline.

Methodology:

• Data-Driven Design: The company emphasizes delivering "data-informed solutions" and gathering "feedback to validate design assumptions," highlighting a commitment to evidence-based decision-making.

• Agile Development: The fast-paced environment and emphasis on rapid iteration suggest an agile or hybrid agile development methodology.

• "Ambition Shapes Reality": This core value points to a culture that encourages proactive problem-solving, taking initiative, and pushing boundaries to achieve ambitious goals.

Company Website: https://scale.com/

📝 Enhancement Note: Scale AI is a prominent player in the AI space, known for its rapid innovation and ambitious goals. The "Enterprise AI Team" context is crucial, suggesting a focus on B2B products with complex user needs and significant business impact. The company's culture appears to value ownership, speed, and a forward-thinking approach to AI development.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a Mid-Senior level (4+ years of experience) within the Product Design function. It requires not just execution skills but also the ability to lead design efforts, take ownership of complex projects, and influence product direction. It's a step towards potentially leading design initiatives or specializing further within AI product design.

Reporting Structure: The Product Designer will likely report to a Design Lead, Head of Product Design, or a Senior Product Manager within the Enterprise AI team. Collaboration will be extensive with engineering and product management peers.

Operations Impact: As a Product Designer on the Enterprise AI team, your impact is direct and significant. You will be shaping the user experience of AI applications that are critical to the operations and strategic goals of major enterprise clients. Your designs will directly influence how businesses leverage AI, driving efficiency, innovation, and competitive advantage for Scale AI's customers. You'll also contribute to the core platform that enables these solutions, impacting Scale's overall product strategy and market position.

Growth Opportunities:

• Specialization in AI Product Design: Deepen expertise in designing for AI, ML, and generative AI applications, becoming a subject matter expert in a rapidly growing field.

• Leadership in Design Initiatives: Take on lead design roles for new product lines or major feature development within the GenAI Platform, mentoring junior designers and influencing design strategy.

• Cross-Functional Leadership: Develop a strong understanding of product management and engineering, potentially transitioning into product leadership roles or becoming a key design strategist.

• Contribution to Design System Evolution: Play a significant role in shaping and scaling the company's design system for complex enterprise AI products.

• Exposure to Frontier AI: Work on cutting-edge AI technologies and contribute to projects that are defining the future of AI applications.

📝 Enhancement Note: The "Enterprise" aspect of the title, combined with the focus on AI and a fast-paced culture, suggests that growth opportunities will involve taking on more complex projects and potentially moving into leadership roles within the design or product teams. The emphasis on "zero to one" experience means there's scope to shape products from their inception.

🌐 Work Environment

Office Type: This is an on-site role in London, UK. Scale AI likely has a modern office environment designed to foster collaboration and innovation, typical of leading tech companies.

Office Location(s): London, UK. Specific office details would need to be confirmed, but it's expected to be a central and accessible location for employees.

Workspace Context:

• Collaborative Spaces: The office will likely feature open-plan areas, meeting rooms, and potentially dedicated project spaces to facilitate seamless interaction between design, product, and engineering teams.

• Technology-Rich Environment: Expect access to high-performance workstations, the latest design software, and robust collaboration tools to support complex design work and remote collaboration as needed.

• Team Interaction: Opportunities for spontaneous discussions, team brainstorming sessions, and formal design critiques will be integral to the daily workflow, fostering a strong sense of team cohesion and shared purpose.

Work Schedule: The role is based on a standard 40-hour work week, with the expectation of being present in the London office. While core hours will be defined for team collaboration, there may be some flexibility in daily schedules, allowing designers to manage their time effectively while ensuring availability for team syncs and stakeholder meetings.

📝 Enhancement Note: The "on-site" requirement in London emphasizes a preference for in-person collaboration, which is often beneficial for complex design work and fostering team culture within a fast-paced tech environment. The office environment is expected to be modern and conducive to innovation.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: A brief call with a recruiter to assess basic qualifications, experience, and cultural fit, including a discussion about your interest in AI and enterprise products.

2. Portfolio Review & Design Challenge: This is a critical stage. You will present your portfolio, focusing on 2-3 relevant case studies that demonstrate end-to-end ownership of complex technical or AI products. This may be followed by a take-home design exercise or a live design critique session.

3. Team Interviews: Interviews with Product Managers, Engineers, and potentially other Designers on the Enterprise AI team. These will delve into your design process, collaboration style, problem-solving abilities, and understanding of user needs for technical/enterprise products.

4. Hiring Manager Interview: A final discussion with the hiring manager to assess leadership potential, strategic thinking, alignment with company values ("ambition shapes reality"), and overall fit for the role and team.

Portfolio Review Tips:

• Curate Strategically: Select case studies that best showcase your experience with complex technical products, AI applications, or enterprise software. Prioritize projects where you had significant ownership and can articulate clear problem-solving and impact.

• Tell a Story: Structure each case study as a narrative: the problem, your approach, key decisions and rationale (especially for challenging trade-offs), your process (research, ideation, iteration), and the outcome (metrics, learnings).

• Highlight Process, Not Just Polish: While visuals are important, focus on demonstrating your thinking, research methods, and iterative process. Explain why you made certain design choices.

• Quantify Impact: Wherever possible, use data and metrics to demonstrate the success of your designs. If direct metrics aren't available, discuss anticipated impact or key learnings.

• Be Ready for Deep Dives: Expect questions about your specific contributions, the trade-offs you made, and how you handled technical constraints or ambiguity.

Challenge Preparation:

• Understand the Context: If given a take-home challenge, thoroughly research Scale AI, its products (especially the GenAI Platform), and the enterprise AI landscape.

• Focus on Process: For live critiques or exercises, emphasize your thought process, how you approach ambiguity, and how you would gather more information if this were a real project.

• Consider Technical Constraints: Given the nature of the role, be prepared to discuss how you'd account for technical feasibility, ML model limitations, and data complexities in your designs.

• Articulate Trade-offs: Be ready to discuss the pros and cons of different design approaches and how you would prioritize features or solutions.

📝 Enhancement Note: The interview process emphasizes a strong portfolio and the ability to articulate complex design decisions, especially concerning technical and AI products. Candidates should be prepared to demonstrate not just their design skills but also their strategic thinking, problem-solving capabilities, and cultural fit with Scale AI's ambitious ethos.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping Software: Proficiency in industry-standard tools such as Figma and Sketch is essential. Experience with Adobe Creative Suite (Illustrator, Photoshop) for asset creation may also be beneficial.

• Prototyping Tools: Beyond core design software, experience with dedicated prototyping tools like InVision, Principle, or Framer could be advantageous for creating higher-fidelity interactive prototypes.

• Collaboration & Project Management: Familiarity with tools like Jira, Asana, or Trello for managing design tasks and tracking progress within cross-functional teams.

Analytics & Reporting:

• User Analytics Platforms: Basic understanding of how to interpret data from tools like Google Analytics, Mixpanel, Amplitude, or similar platforms used to track user behavior and product adoption.

• Data Visualization Tools: While not a primary responsibility, familiarity with tools like Tableau or Looker can help in understanding and discussing data-driven insights.

CRM & Automation:

• Not directly applicable to Product Design: While the role interacts with enterprise products that might integrate with CRMs, direct experience with CRM systems (like Salesforce) or automation platforms is not typically a core requirement for a Product Designer, unless the specific product being designed heavily involves these.

📝 Enhancement Note: The core tools for this role are design and prototyping software. The emphasis on collaboration within an engineering-heavy environment means familiarity with project management and issue tracking tools is also important. While not a direct responsibility, understanding how to interpret analytics data is key for a data-informed design approach.

👥 Team Culture & Values

Operations Values:

• "Ambition Shapes Reality": This core value underscores a culture of proactive ownership, initiative, and a belief that ambitious goals can be achieved through dedication and hard work. Designers are expected to be self-starters who drive projects forward.

• Pragmatism & Ownership: A practical approach to design is valued, balancing user needs with technical realities and business objectives to ship impactful products efficiently. Taking ownership of projects from start to finish is paramount.

• Data-Driven & User-Centric: While pragmatic, the design process is informed by user research and data, ensuring that solutions are not only feasible but also meet genuine user needs and contribute to business success.

• Collaboration & Cross-Functional Partnership: The company culture emphasizes strong collaboration across departments, particularly between design, product, and engineering, to build cohesive and effective AI solutions.

• Innovation & Continuous Learning: Working in the AI space necessitates a commitment to staying abreast of rapid advancements, fostering a culture of continuous learning and embracing new technologies and methodologies.

Collaboration Style:

• Integrated Teams: Designers are expected to be fully integrated members of cross-functional product teams, working hand-in-hand with PMs and engineers throughout the development cycle.

• Open Communication: A culture of open and direct communication is encouraged, fostering an environment where ideas can be freely shared, debated, and refined.

• Feedback Loops: Regular design critiques, sprint reviews, and user feedback sessions create robust feedback loops, ensuring that designs are continuously improved based on input from various sources.

• Shared Vision: Emphasis on building a shared understanding of product goals and user needs, ensuring that all team members are aligned and working towards a common vision.

📝 Enhancement Note: The "ambition shapes reality" ethos is a defining characteristic, suggesting a high-energy, results-oriented environment where individuals are empowered to make a significant impact. The culture likely values autonomy, speed, and a willingness to tackle challenging problems head-on.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Complexity: Translating highly complex AI concepts and enterprise workflows into intuitive and user-friendly interfaces for both technical and potentially less technical users.

• Rapidly Evolving AI Landscape: Keeping pace with the fast-changing advancements in AI and ensuring designs remain relevant and leverage the latest capabilities.

• Balancing User Needs with Technical Constraints: Navigating the interplay between cutting-edge AI possibilities, engineering limitations, and the practical business requirements of enterprise clients.

• "Zero-to-One" Ambiguity: Working on new products or features where requirements may be ill-defined initially, requiring strong problem-solving and strategic definition skills.

• Cross-Functional Alignment: Ensuring consistent understanding and alignment on design vision and execution across diverse teams (ML, backend, frontend, product).

Learning & Development Opportunities:

• Deep Dive into AI/ML Product Design: Gain specialized expertise in a high-demand field, working on cutting-edge generative AI and enterprise AI solutions.

• Advanced Design System Development: Contribute to defining and scaling a design system for complex, technical products, offering significant long-term career value.

• Exposure to Enterprise Clients: Develop a deep understanding of enterprise needs and how AI can solve critical business problems for Fortune 500 companies.

• Mentorship and Leadership: Opportunities to mentor junior designers and take on lead roles in significant product initiatives, fostering leadership skills.

• Industry Conferences & Training: Access to resources for attending AI and design conferences, workshops, and continuous learning to stay at the forefront of the industry.

📝 Enhancement Note: The challenges are directly tied to the nature of working with advanced AI in an enterprise context. The growth opportunities are substantial, offering a path to becoming a highly sought-after specialist in AI product design with potential leadership responsibilities.

💡 Interview Preparation

Strategy Questions:

• "Tell me about a complex technical product you designed from zero to one. What were the biggest challenges, and how did you overcome them?" (Focus on your process, ownership, and problem-solving for technical products).

• "How would you approach designing an AI-powered feature for [specific enterprise use case relevant to Scale AI]? What user research would you conduct, and what are potential pitfalls?" (Demonstrate your understanding of AI applications and user research methodologies).

• "Describe a time you had to balance conflicting priorities between user needs, technical constraints, and business goals. How did you resolve it?" (Highlight your pragmatic approach and negotiation skills).

Company & Culture Questions:

• "What interests you about Scale AI and the Enterprise AI team specifically?" (Research Scale's mission, recent news, and the GenAI Platform).

• "How do you embody the 'ambition shapes reality' mindset in your work?" (Provide examples of taking initiative, driving projects, and achieving ambitious goals).

Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly define the problem, your role and ownership, the target users, your design process (research, ideation, prototyping, testing, iteration), key design decisions with rationale, and the outcomes/learnings.

• Highlight Technical/AI Aspects: Emphasize how you tackled the complexities inherent in AI or technical products. Discuss any specific challenges related to data, algorithms, or user comprehension of AI.

• Show, Don't Just Tell: Use visuals (wireframes, mockups, prototypes) effectively to illustrate your process and solutions. Be prepared to walk through interactive prototypes.

• Be Ready for Deep Dives: Anticipate questions about your specific contributions, design rationale, trade-offs made, and how you would improve the product further.

• Connect to Scale AI: Where possible, draw parallels between your experience and the challenges Scale AI is addressing, demonstrating your understanding of their business and product landscape.

📝 Enhancement Note: Preparation should focus on demonstrating a deep understanding of the design process for complex, technical, and AI-driven products, coupled with a proactive, ownership-driven mindset aligned with Scale AI's culture. The portfolio is the centerpiece, so meticulous preparation for its presentation is crucial.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on Greenhouse.

• Portfolio Customization: Ensure your portfolio prominently features 2-3 case studies showcasing your end-to-end product design experience with complex, technical, or AI-powered applications. Tailor the presentation to highlight your ownership, problem-solving within technical constraints, and impact.

• Resume Optimization: Update your resume to clearly articulate your experience in product design, UX, UI, prototyping, and user research, using keywords relevant to AI, enterprise software, and fast-paced tech environments. Quantify achievements and responsibilities where possible.

• Interview Preparation: Thoroughly research Scale AI, its mission, and its products, particularly the GenAI Platform. Practice articulating your design process, rationale, and contributions for your portfolio case studies, and prepare for behavioral questions related to the company's values.

• Company & Role Research: Understand the enterprise AI market and the specific challenges Scale AI aims to solve. Be ready to discuss your interest in AI and how your skills align with the demands of designing for enterprise clients.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions to provide a comprehensive overview. All details, particularly regarding compensation, benefits, and specific team dynamics, should be verified directly with Scale AI during the application and interview process.