Staff Product Designer, Enterprise

📍 Job Overview

Job Title: Staff Product Designer, Enterprise

Company: Scale AI

Location: London, UK

Job Type: Full-Time

Category: Product Design / GTM Operations

Date Posted: September 24, 2026

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

• Lead product design initiatives for Scale's rapidly growing 'AI for Enterprise Data' business unit, focusing on complex B2B and enterprise web applications.

• Drive the end-to-end design process from user flows and wireframes to high-fidelity mockups and interactive prototypes for desktop web applications.

• Collaborate closely with Product Managers, Engineers, Data Scientists, and Operations team members to translate business challenges into elegant design solutions.

• Act as the founding designer for the business unit, advocating for user needs and shaping the product vision within a fast-paced, ambiguous environment.

• Contribute to the continuous improvement of the company-wide design system and interaction patterns, ensuring consistency and scalability.

📝 Enhancement Note: This role is positioned within the "AI for Enterprise Data" business unit. While the title is Product Designer, the emphasis on partnering with "Operations team members" and the nature of enterprise data solutions suggests a strong connection to GTM Operations and Revenue Operations enablement. The role will likely involve designing interfaces that support complex data workflows, analytics, and operational processes for enterprise clients, requiring a deep understanding of their business needs and how AI solutions integrate into their existing operational frameworks.

📈 Primary Responsibilities

• Design comprehensive end-to-end user flows, wireframes, high-fidelity mockups, and interactive prototypes for sophisticated desktop web applications.

• Conduct user research, usability testing, and gather feedback to inform design decisions and validate solutions for enterprise clients.

• Partner effectively with Product Management to define product strategy, identify key user needs, and translate business requirements into intuitive user experiences.

• Collaborate with Engineering teams to ensure design feasibility, provide clear specifications, and maintain design integrity throughout the development lifecycle.

• Work alongside Data Scientists to design effective data visualization dashboards and interfaces that clearly communicate complex AI model outputs and insights.

• Engage with Operations team members to understand their workflows, challenges, and requirements for AI-powered tools, ensuring seamless integration into their daily operations.

• Take ownership of identifying product gaps, proposing innovative solutions, and rallying support from stakeholders for design initiatives.

• Contribute to the development and maintenance of Scale's company-wide design system, promoting consistency, scalability, and best practices in interaction design.

• Participate in customer-facing meetings to present design concepts, gather feedback, and build strong relationships with enterprise clients.

📝 Enhancement Note: The responsibility to "Partner with Product Managers, Engineers, Data Scientists, and Operations team members" and "Advocate for the voice of the user as the founding designer of the business unit" indicates a significant cross-functional leadership component. For operations professionals, this means understanding how design decisions directly impact the adoption and effectiveness of AI tools within enterprise operational contexts, such as document processing or insurance AI.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field, or equivalent practical experience is highly valued.

Experience:

• 5-10 years of progressive experience in product design, with a strong focus on leading end-to-end design for B2B and enterprise web applications.

• Proven track record of designing complex dashboards, data visualization interfaces, domain-specific editors, and form-based applications. Required Skills:

• Expert proficiency in Figma: Demonstrated ability for fast and high-quality execution in Figma for all design stages, from wireframing to high-fidelity mockups and interactive prototyping.

• End-to-End Product Design: Comprehensive experience designing user flows, wireframes, high-fidelity mockups, and interactive prototypes for complex desktop web applications.

• Enterprise & B2B Focus: Proven experience designing for enterprise-level B2B products, understanding the unique needs and complexities of business users.

• Data Visualization & Dashboards: Experience designing effective and intuitive dashboards and data visualization components to present complex information.

• User-Centricity: Strong advocacy for user needs, with experience conducting user research and usability testing to inform design decisions.

• Collaboration & Communication: Excellent verbal and written communication skills, with the ability to articulate design decisions clearly and collaborate effectively with cross-functional teams and clients.

• Problem-Solving: Ability to tackle ambiguous problems, identify product gaps, and propose innovative design solutions in a fast-paced environment.

• Front-end Development Understanding: Basic understanding of front-end development processes and technologies for web interfaces to facilitate effective collaboration with engineers.

Preferred Skills:

• Exposure to Artificial Intelligence (AI) and Machine Learning (ML) concepts, understanding their implications for product design.

• Experience contributing to or evolving company-wide design systems and interaction patterns.

• Familiarity with specific enterprise AI use cases such as insurance AI or document processing.

📝 Enhancement Note: The requirement for "Extremely high proficiency in Figma, fast execution speed is a must" highlights the critical importance of this tool. Candidates should be prepared to showcase their Figma skills and workflow efficiency. The "Operations team members" mention in the responsibilities implies that familiarity with operational processes and data management within enterprise contexts would be a significant advantage.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A curated portfolio showcasing a diverse range of product design projects, with a strong emphasis on B2B and enterprise web applications.

• Detailed case studies demonstrating the end-to-end design process for at least 2-3 significant projects, including challenges, solutions, and outcomes.

• Visual examples of user flows, wireframes, high-fidelity mockups, and interactive prototypes, with clear explanations of design rationale.

• Specific examples of dashboard design, data visualization components, and complex form designs.

• Evidence of collaboration with cross-functional teams (Product Management, Engineering, Data Science, Operations) and how design decisions were influenced by these partnerships. Process Documentation:

• Showcase how you approach defining and documenting user needs and product requirements through design artifacts.

• Provide examples of your process for iterating on designs based on user feedback, A/B testing, or stakeholder input.

• Demonstrate your understanding of how to translate complex technical concepts or data into user-friendly interfaces.

• Illustrate your contribution to or creation of design system components and interaction patterns.

📝 Enhancement Note: For this role, the portfolio should heavily feature examples of enterprise-level B2B applications. Given the mention of "Operations team members," including case studies that demonstrate how design solutions have improved operational efficiency, data accuracy, or workflow automation for business users would be highly impactful. Emphasize the impact of your designs on business metrics and user adoption.

💵 Compensation & Benefits

Salary Range:

For a Staff/Senior Product Designer role in London, UK, with 5-10 years of experience, the estimated salary range is approximately £75,000 - £100,000 per annum. This estimate is based on industry benchmarks for senior design roles in the technology sector in London, considering the company's focus on AI and enterprise solutions, and the demand for specialized skills like Figma proficiency and B2B/enterprise design experience.

Benefits:

• Comprehensive health insurance coverage (medical, dental, vision).

• Generous paid time off (PTO) and public holidays.

• Stock options or equity grants.

• Professional development budget for conferences, courses, and learning resources.

• Pension scheme contributions.

• Opportunities for career advancement and leadership within a rapidly growing company.

• Access to cutting-edge AI technologies and projects.

• Commuter benefits and wellness programs. Working Hours:

Standard full-time working hours are typically 40 hours per week. While the role is on-site, Scale AI may offer some flexibility in daily schedules, subject to team and business needs. The fast-paced nature of the role may require occasional extended hours to meet project deadlines.

📝 Enhancement Note: The salary range provided is an estimate for the London market and may vary based on the candidate's specific experience, qualifications, and negotiation. Scale AI, as a prominent tech company, is likely to offer a competitive benefits package that includes equity, professional development, and robust health coverage, which are attractive to senior design professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Artificial Intelligence, Data Services. Scale AI operates at the forefront of AI development, providing essential data infrastructure and services that power the world's leading AI models for both enterprises and governments. This industry context means a focus on innovation, cutting-edge technology, and solving complex, high-impact problems.

Company Size: Scale AI is a rapidly growing company, likely falling into the "501-1000 employees" or "1001-5000 employees" range based on its significant funding and market presence. This size implies a dynamic, fast-paced environment with opportunities for significant impact, but also potential for ambiguity and rapid change.

Founded: Scale AI was founded in 2016. This relatively young age for a company of its stature means it's likely still building out many of its processes and structures, offering a chance for early employees to shape its future.

Team Structure:

• AI for Enterprise Data Business Unit: This unit is likely structured with dedicated Product Managers, Engineers (front-end, back-end, ML/AI), Data Scientists, Designers, and potentially Sales/GTM specialists.

• Reporting Structure: The Staff Product Designer will likely report to a Head of Design, Design Lead, or Director of Product within the AI for Enterprise Data unit. They will collaborate closely with Product Management leadership.

• Cross-functional Collaboration: Collaboration is central to this role. The designer will work daily with Product Managers to define strategy, Engineers to build, Data Scientists to interpret data, and Operations teams to ensure practical application and integration into enterprise workflows.

Methodology:

• Data-Driven Design: Decisions will be heavily influenced by data analytics, user research, and performance metrics.

• Agile Development: The team likely operates in an agile or lean methodology, emphasizing rapid iteration, quick feedback loops, and adaptability to changing requirements.

• User-Centric Problem Solving: A core methodology will involve deeply understanding enterprise client challenges and leveraging AI to provide effective, scalable solutions.

Company Website: https://scale.com/

📝 Enhancement Note: The "AI for Enterprise Data" unit suggests a focus on practical applications of AI in business settings. For operations professionals, this means the design work will directly influence how enterprises manage and leverage data for critical decisions, potentially impacting revenue generation, cost savings, and operational efficiency. Understanding the company's mission to "accelerate the deployment of AI" is key.

📈 Career & Growth Analysis

Operations Career Level: This role is at a Staff/Senior level, indicating a high degree of autonomy, influence, and responsibility. As a "founding designer" for the business unit, the individual will have a significant opportunity to shape the product's design direction, processes, and potentially mentor junior designers as the team grows. This level is crucial for driving strategic design initiatives and tackling complex, ambiguous problems.

Reporting Structure: The Staff Product Designer will report to a design leadership figure within the AI for Enterprise Data business unit, likely a Design Lead or Director. They will work in close partnership with Product Managers and Engineering Leads, influencing product strategy and execution. This structure allows for direct impact on product development and cross-functional influence.

Operations Impact: The design of enterprise AI tools directly impacts the efficiency, scalability, and profitability of Scale AI's clients. By creating intuitive and powerful interfaces for document processing, insurance AI, and other data-intensive applications, this role will enable enterprises to accelerate their AI deployment, make better decisions, and achieve significant operational improvements. This role is foundational to the success of the AI for Enterprise Data business unit and its ability to serve major clients.

Growth Opportunities:

• Leadership Development: Opportunity to lead design efforts for new product initiatives and potentially grow into a Design Lead or Manager role as the business unit expands.

• Specialization in AI/Enterprise Design: Deepen expertise in designing for complex AI applications and enterprise workflows, becoming a subject matter expert in a high-demand field.

• Strategic Influence: Play a key role in shaping the product roadmap and design strategy for a critical business unit within Scale AI.

• Mentorship: As the founding designer, there's an opportunity to mentor and guide future design hires, contributing to the team's growth and culture.

• Exposure to High-Impact Projects: Work on products that are critical to major enterprise clients and government agencies, offering significant professional development and visibility.

📝 Enhancement Note: For operations professionals, understanding this growth path is important. It demonstrates how design roles can intersect with operational improvements, and how senior designers can influence business outcomes. The "founding designer" aspect suggests a unique opportunity to build and shape, which is attractive to ambitious individuals looking for impact.

🌐 Work Environment

Office Type: This is an on-site role, indicating a traditional office environment at Scale AI's London location. This setting fosters direct collaboration, spontaneous idea generation, and a strong team culture.

Office Location(s): London, UK. Specific details regarding the office's amenities, accessibility, and neighborhood would typically be provided by the company but can be assumed to be in a well-connected business district.

Workspace Context:

• Collaborative Environment: The on-site nature encourages face-to-face interaction, brainstorming sessions, and quick problem-solving with colleagues from Product, Engineering, Data Science, and Operations.

• Tools and Technology: Designers will have access to industry-standard design software (primarily Figma) and the necessary hardware. Collaboration tools for communication and project management will also be integral.

• Team Interaction: Expect regular stand-ups, design reviews, cross-functional syncs, and potentially client-facing meetings conducted from the office. The environment is likely fast-paced and dynamic.

Work Schedule: The role is full-time, with standard office hours expected. Given the "fast paced environment with rapid timelines and high amounts of scope and ambiguity," some flexibility and willingness to put in extra effort during peak periods might be necessary. However, the focus will be on efficient work within the defined hours.

📝 Enhancement Note: The on-site requirement for this role in London suggests a preference for in-person collaboration, which can be beneficial for complex problem-solving and team cohesion in a fast-moving tech environment. For operations candidates, this means an environment conducive to deep collaboration with engineering and product teams.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with a recruiter to assess basic qualifications, cultural fit, and understanding of the role.

• Portfolio Review & Design Challenge: Presentation of your portfolio, focusing on B2B/enterprise applications and demonstrating your design process. This may be followed by a design challenge (e.g., a take-home exercise or an on-the-spot problem-solving task) to assess your skills in Figma, user flow design, and problem-solving.

• Cross-Functional Interviews: Interviews with Product Managers, Engineers, Data Scientists, and potentially members of the Operations team to evaluate collaboration skills, technical understanding, and ability to work within a team.

• Hiring Manager Interview: A final interview with the hiring manager (likely a design lead or director) to discuss your experience, leadership potential, strategic thinking, and fit with the team's vision.

Portfolio Review Tips:

• Highlight B2B/Enterprise: Focus on projects that clearly demonstrate your experience with complex enterprise applications, dashboards, and data visualization.

• Showcase Figma Proficiency: Be ready to walk through your Figma files, explaining your process, component usage, and efficiency techniques.

• Structure Your Case Studies: For each project, clearly outline the problem, your role, the process you followed, the solutions you designed, and the impact (quantifiable if possible).

• Emphasize Collaboration: Discuss how you collaborated with Product, Engineering, Data Science, and Operations teams, and how that collaboration influenced your design outcomes.

• Address Ambiguity: If you've worked in ambiguous environments, highlight how you navigated that uncertainty and drove projects forward.

Challenge Preparation:

• Figma Mastery: Practice designing complex interfaces, user flows, and data visualizations quickly and efficiently in Figma.

• Problem Decomposition: Be prepared to break down a given problem into smaller, manageable parts and articulate your approach to solving it.

• User-Centricity: Demonstrate how you would incorporate user research and feedback into your design process, even within a simulated exercise.

• Design Rationale: Clearly articulate why you made certain design decisions, linking them back to user needs, business goals, or technical constraints.

📝 Enhancement Note: The emphasis on "Operations team members" in the interview process suggests that candidates should be prepared to discuss how their designs support operational workflows and business objectives. Highlighting past experience where design directly improved efficiency or data integrity for business users will be a strong advantage.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: This is the core design tool, and extremely high proficiency is required. Candidates should be comfortable with advanced features, component libraries, prototyping, and collaboration workflows within Figma.

• Prototyping Tools: While Figma has strong prototyping capabilities, familiarity with other tools like InVision, Principle, or Adobe XD might be beneficial, though Figma is likely the primary.

Analytics & Reporting:

• Data Visualization Libraries/Tools: Understanding of how data visualization components are built and how they function is key. Familiarity with tools that power these dashboards (e.g., Tableau, Looker, Power BI) might be advantageous, though the primary focus is on designing them.

• Analytics Platforms: Awareness of how user behavior is tracked and analyzed (e.g., Google Analytics, Mixpanel, Amplitude) to inform design decisions.

CRM & Automation:

• Understanding of Enterprise Workflows: While not directly using CRM or automation tools for design, the designer must understand how enterprise customers use CRMs, ERPs, and other operational software to integrate AI solutions effectively.

• Collaboration Tools: Proficiency with project management and communication tools like Jira, Confluence, Slack, and Asana is expected for seamless team collaboration.

📝 Enhancement Note: The emphasis on Figma is paramount. Candidates should be ready to discuss their advanced Figma workflows, custom component creation, and how they leverage Figma for rapid prototyping and design system management. Understanding the data flow and integration points for enterprise AI solutions will also be critical for effective collaboration with engineering and data science teams.

👥 Team Culture & Values

Operations Values:

• Impact-Driven: A strong focus on delivering tangible results and measurable impact for enterprise clients and Scale AI. Designs should directly contribute to business objectives like AI deployment acceleration, data quality improvement, and operational efficiency.

• User-Centricity: Deep empathy for the user, ensuring that complex AI solutions are intuitive, accessible, and solve real-world problems for enterprise users.

• Collaboration & Transparency: Open communication and a willingness to work closely with diverse teams (Product, Engineering, Data Science, Operations) to achieve shared goals.

• Innovation & Curiosity: A drive to explore new technologies, experiment with design approaches, and push the boundaries of what's possible with AI.

• Execution & Agility: Ability to work effectively in a fast-paced, dynamic environment, delivering high-quality work with rapid timelines and embracing iterative development.

Collaboration Style:

• Cross-Functional Partnership: The team values designers who can actively partner with Product Managers, Engineers, Data Scientists, and Operations specialists, contributing to strategy and problem-solving from a design perspective.

• Constructive Feedback: An environment where feedback is given and received openly and constructively, fostering continuous improvement in both products and processes.

• Knowledge Sharing: A culture that encourages sharing best practices, design patterns, and insights across teams to elevate the overall quality of work and team capabilities.

📝 Enhancement Note: The emphasis on "Operations team members" and "impact for enterprise clients" suggests a culture that values practical application and business outcomes. Designers are expected to be strategic partners, not just executors, contributing to the overall success of the AI for Enterprise Data business unit by ensuring its products are not only innovative but also highly functional and adoptable within enterprise operational contexts.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: The role involves working on "0-1 initiatives" and in a fast-paced environment with "rapid timelines and high amounts of scope and ambiguity." This requires strong problem-solving skills and the ability to define clarity where it doesn't initially exist.

• Complex Data & AI Concepts: Translating sophisticated AI/ML concepts and complex enterprise data into intuitive and user-friendly interfaces for non-expert users is a significant challenge.

• Balancing User Needs with Technical Constraints: Effectively balancing user experience goals with the technical realities and development timelines of cutting-edge AI products.

• Establishing Design Foundations: As the "founding designer" for the business unit, establishing initial design processes, standards, and contributing to the design system from the ground up can be demanding.

Learning & Development Opportunities:

• Deep Dive into AI/ML Applications: Gain in-depth knowledge of how AI and ML are applied in real-world enterprise scenarios (e.g., insurance, document processing), becoming an expert in this domain.

• Strategic Product Influence: Grow in influence by shaping the strategic direction and design roadmap of a key business unit within a leading AI company.

• Leadership and Mentorship: Develop leadership skills by guiding design efforts, potentially mentoring junior designers, and contributing to the growth of the design function.

• Industry Exposure: Work with leading enterprises and government agencies, gaining exposure to a wide range of business challenges and AI adoption strategies.

• Design System Contribution: Play a pivotal role in expanding and refining Scale's company-wide design system, contributing to its long-term scalability and impact.

📝 Enhancement Note: For operations professionals, understanding these challenges highlights the need for resilience, adaptability, and strong analytical skills. The growth opportunities are substantial, offering a chance to become a recognized expert in designing for AI in enterprise contexts, a rapidly evolving and highly valuable field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design a complex B2B enterprise application with significant ambiguity. How did you approach defining the problem and driving towards a solution?"

• "Walk us through your process for designing a new data visualization dashboard. What key considerations do you prioritize, and how do you ensure clarity for different user types?"

• "How do you collaborate with Product Managers and Engineers to balance user needs, business goals, and technical feasibility on tight deadlines?"

• "As the founding designer for this unit, what would be your priorities in the first 90 days to establish a strong design foundation and user advocacy?" Company & Culture Questions:

• "What interests you most about Scale AI's mission and the 'AI for Enterprise Data' business unit?"

• "How do you approach advocating for the user in a fast-paced environment where business priorities can shift rapidly?"

• "Describe your experience working with operations teams. How do you ensure design solutions integrate seamlessly into their existing workflows?"

• "What are your thoughts on design systems, and how have you contributed to or utilized them in previous roles?" Portfolio Presentation Strategy:

• Focus on Impact: For each case study, clearly articulate the business problem, your specific contributions, the design solutions, and the measurable outcomes or impact achieved.

• Showcase Your Figma Workflow: Be prepared to navigate your Figma files, demonstrating your proficiency, component usage, and efficiency.

• Tell a Story: Frame your projects as narratives, explaining the challenges, your thought process, and how you arrived at your final designs.

• Highlight Collaboration: Discuss specific examples of how you partnered with Product, Engineering, Data Science, and Operations teams, and how this collaboration shaped the final product.

• Prepare for Q&A: Anticipate questions about your design decisions, trade-offs you made, and how you would approach similar challenges in the future.

📝 Enhancement Note: When discussing your portfolio, specifically highlight any projects where your design work directly improved operational efficiency, data accuracy, or streamlined complex workflows for enterprise users. This will resonate strongly with the focus of the "AI for Enterprise Data" unit. Emphasize your ability to translate complex technical or data-driven requirements into user-friendly interfaces that support business operations.

📌 Application Steps

To apply for this Staff Product Designer position:

• Submit your application through the provided link on Greenhouse.

• Curate Your Portfolio: Select 2-3 of your strongest B2B/enterprise web application design projects. Ensure they clearly showcase your end-to-end process, Figma proficiency, and ability to tackle complex data visualization and workflow challenges.

• Tailor Your Resume: Highlight experience with enterprise software, B2B products, data visualization, and collaboration with cross-functional teams, including operations. Use keywords from the job description such as "Figma," "enterprise web applications," "data visualization," and "user flows."

• Prepare Your Design Narrative: Practice presenting your portfolio case studies, focusing on the problem, your process, your unique contributions, and the impact of your designs. Be ready to discuss your Figma workflow and design rationale in detail.

• Research Scale AI: Understand their mission, the products within the "AI for Enterprise Data" unit, and their impact on enterprise clients. Prepare thoughtful questions about the team, the product roadmap, and the design challenges.

⚠️ 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.