UX / Product Design Leaders and Decision-Makers for Workflow Management Tools - UK

📍 Job Overview

Job Title: UX / Product Design Leaders and Decision-Makers for Workflow Management Tools

Company: Prolific Academic Ltd

Location: Remote (United Kingdom)

Job Type: Contract/Part-time (Participant-based)

Category: Product Management / UX Design / Operations Research

Date Posted: 2026-06-16

Experience Level: Manager level or above (5-10 years implied)

Remote Status: Remote Solely

🚀 Role Summary

• This is a unique opportunity for experienced Product Management and UX/Product Design leaders to leverage their expertise in workflow management tools for cutting-edge AI research.

• Participants will be compensated for sharing insights on tool evaluation, selection, implementation, and strategic decision-making within their organizations, directly influencing AI model development.

• The role involves completing paid tasks, including AI-moderated interviews and qualitative surveys, focusing on user experience and process optimization.

• This position operates on a 'bench' model, where verified professionals become eligible for research opportunities as they align with project demands, offering flexible hours and remote work.

📝 Enhancement Note: This role is not a traditional full-time employment position but rather a paid participant opportunity for individuals with specific professional backgrounds. The compensation is project-based, with an advertised rate of up to $200 per hour. The primary focus is on gathering qualitative data and insights related to workflow management tools and processes.

📈 Primary Responsibilities

• Successfully complete a paid screener to assess suitability for specific research tasks.

• Participate in AI-moderated interviews and written tasks to provide expert insights on workflow management tools and processes.

• Complete qualitative surveys and feedback activities to contribute to AI development datasets.

• Share detailed knowledge and experience regarding the evaluation, selection, implementation, and management of workflow management tools.

• Provide strategic recommendations and insights on purchasing decisions, budgeting, and tool selection related to development, product, and collaboration software.

• Articulate user experience considerations and the impact of workflow tools on team productivity and development cycles.

📝 Enhancement Note: The core responsibility is acting as a subject matter expert by providing high-quality qualitative data. This requires clear communication, detailed recall of professional experiences, and the ability to articulate complex concepts related to product development workflows and tool adoption.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong educational background is implied by the seniority and experience required. A degree in Design, Computer Science, Business, or a related field would be beneficial.

Experience: Minimum of 5-10 years of professional experience, with at least Manager-level responsibilities in Product Management, UX Design, or Product Design.

Required Skills:

• Manager-level or above experience in Product Management, UX Design, or Product Design functions.

• Proven experience in evaluating, selecting, implementing, or managing workflow management tools.

• Deep familiarity with software development, product development, or design workflows and lifecycles.

• Direct involvement in purchasing decisions, tool selection, budgeting, or strategic recommendations for development and collaboration tools.

• Proficiency in articulating user experience (UX) principles and their application within workflow tools.

• Ability to provide qualitative feedback and insights in structured interview or survey formats. Preferred Skills:

• Experience with AI-driven decision-making processes in tool selection.

• Expertise in change management related to new tool adoption.

• Familiarity with People Operations (People Ops) insights related to team productivity and tool utilization.

• Experience participating in user research or providing feedback on product roadmaps.

📝 Enhancement Note: The emphasis is on practical, hands-on experience and decision-making authority within the specified functional areas. While specific tool experience is listed, the ability to critically evaluate and choose tools based on organizational needs is paramount.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrated experience in the evaluation and selection process for workflow management tools, showcasing criteria used and decision-making frameworks.

• Examples of implementing or managing workflow management systems, highlighting process improvements and efficiency gains.

• Case studies or examples of strategic recommendations made regarding development or collaboration tools, including rationale and expected outcomes.

• Evidence of involvement in budgeting or purchasing decisions for technology tools within a product or design context. Process Documentation:

• Ability to articulate the lifecycle of workflow management tool adoption, from initial assessment to ongoing optimization.

• Experience in documenting decision-making processes for tool selection, including stakeholder alignment and requirement gathering.

• Understanding of how to measure the effectiveness and ROI of workflow management tools through qualitative feedback and observational data.

📝 Enhancement Note: While a formal portfolio may not be required for submission, candidates should be prepared to discuss specific examples and processes from their professional experience that demonstrate their expertise in workflow management tools and decision-making. This could involve discussing specific projects, tool implementation strategies, or decision frameworks used.

💵 Compensation & Benefits

Salary Range: Up to $200 per hour, paid for completed tasks.

Benefits:

• Flexible Hours: Participants can choose when to engage with paid tasks around their existing schedules.

• Work From Home: All tasks are conducted remotely, offering the convenience of working from any location.

• Influence AI Development: Opportunity to contribute directly to the advancement of AI models by sharing valuable human data and insights.

• Competitive Compensation: Paid tasks are structured to offer significant hourly rates for expert contributions.

Working Hours: Tasks are typically one hour long, though some may be shorter. Participants can select tasks as they become available, offering significant flexibility. The "bench" model implies that work is not guaranteed but available based on project demand.

📝 Enhancement Note: The compensation structure is project-based and performance-driven. While the hourly rate is high, the availability of tasks will depend on research project needs and the participant's profile matching. Candidates should consider this as supplementary income or project-based work rather than a guaranteed full-time salary. The "40 hours" implied by ai_working_hours likely represents a typical work week for individuals in these roles, not a commitment for this specific participant role.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (AI Data, Research Platforms)

Company Size: Prolific is a growing company, indicated by its goal to build the "biggest pool of quality human data." The platform serves over 35,000 AI developers and researchers.

Founded: While not explicitly stated, Prolific is an established platform in the AI research space. Their website and YouTube channel suggest a modern, tech-forward company culture.

Team Structure:

• Participants are not part of a traditional employee team structure but rather join a global pool of experts.

• They interact with AI-moderated systems for interviews and surveys, and potentially with researchers or project managers for specific tasks.

• The overall company structure at Prolific likely includes teams focused on platform development, research operations, participant management, and AI ethics. Methodology:

• Prolific's core methodology involves collecting high-quality, ethically sourced human behavioral data and feedback to train AI systems.

• The platform emphasizes data accuracy, diverse participant profiles, and robust screening processes to ensure data integrity.

• Research projects are designed to gather specific insights into user behavior, preferences, and decision-making processes.

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

📝 Enhancement Note: Prolific positions itself as a critical infrastructure provider for AI development, bridging the gap between AI research and real-world human behavior. The culture likely values data integrity, ethical research practices, and technological innovation.

📈 Career & Growth Analysis

Operations Career Level: This opportunity targets individuals at a Manager level or above in Product Management or UX/Product Design. It represents an opportunity to monetize existing senior-level expertise and influence the future of AI tooling.

Reporting Structure: Participants do not have a direct reporting structure in the traditional sense. They respond to prompts and tasks set by researchers via the Prolific platform.

Operations Impact: Participants directly impact AI development by providing crucial human data and insights. Their feedback helps researchers build more accurate, nuanced, and user-aligned AI models, particularly in the domain of workflow management tools.

Growth Opportunities:

• Skill Monetization: Leverage existing professional expertise for direct financial compensation.

• Industry Influence: Contribute to the development of AI that shapes future workflow management tools and practices.

• Networking (Indirect): While not direct networking, engagement with cutting-edge AI research can provide exposure to industry trends and emerging technologies.

• Flexibility: Build a supplementary income stream with flexible hours and remote work, complementing a primary role or offering a new avenue for engaging professional skills.

📝 Enhancement Note: Growth in this context is less about climbing a corporate ladder and more about expanding the application and financial reward of one's existing professional expertise. The "growth" is in the impact on AI development and the flexibility gained.

🌐 Work Environment

Office Type: Fully remote. Participants will work from their own chosen environment.

Office Location(s): Remote, with a specific interest in professionals based in the United Kingdom for certain projects, as implied by the job title.

Workspace Context:

• Participants require a quiet, private space conducive to uninterrupted work for the duration of each paid task (typically one hour).

• A reliable internet connection and a functional computer are essential.

• The environment should allow for focused participation in AI-moderated interviews or qualitative surveys without external distractions.

Work Schedule: Highly flexible. Participants can log in to the Prolific platform and select available paid tasks that fit their schedule. There are no set working hours or mandatory commitments beyond completing selected tasks.

📝 Enhancement Note: The work environment is entirely self-managed, emphasizing autonomy and personal responsibility for creating a suitable workspace. The focus is on individual task completion rather than team collaboration within a physical or virtual office.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Complete a brief, paid screener (10-15 minutes) to assess basic qualifications and suitability for research tasks.

• Credential Verification: If successful in the screener, participants will undergo a verification process to confirm their professional background (Manager level or above in Product Management/UX Design).

• Task Assignment: Eligible participants are added to a "bench" and receive notifications for relevant research opportunities.

• Task Completion: For each opportunity, participants will engage in AI-moderated interviews, qualitative surveys, or other feedback activities as required by the research project.

Portfolio Review Tips:

• Prepare Concrete Examples: While a formal portfolio isn't explicitly requested for the initial application, be ready to discuss specific examples of your experience with workflow management tools, decision-making processes, and implementation projects during any verification or follow-up stages.

• Quantify Impact: If discussing past projects, be prepared to articulate the impact of your decisions and implementations, ideally with measurable outcomes (e.g., efficiency gains, cost savings, improved user satisfaction).

• Tool Proficiency: Highlight your direct experience with specified tools (Jira, Linear, Asana, etc.) and your ability to critically compare and contrast them.

• Decision-Making Authority: Emphasize your role in evaluating, selecting, and approving tools, showcasing your strategic input and budget involvement.

Challenge Preparation:

• Understand the Research Focus: Familiarize yourself with Prolific's mission and the general area of AI development. Research current trends in workflow management tools and their impact on productivity.

• Articulate Your Expertise: Practice explaining complex product management and UX concepts clearly and concisely. Be ready to discuss your thought process behind tool selection and implementation.

• AI Moderation: Be prepared for tasks that might involve AI-driven interactions. Focus on providing clear, structured, and honest feedback.

📝 Enhancement Note: The application process is designed to quickly identify and verify qualified individuals. The emphasis is on professional credentials and the ability to articulate relevant experience efficiently. Candidates should focus on clearly demonstrating their seniority and expertise in the specified domain.

🛠 Tools & Technology Stack

Primary Tools (Experience Required):

• Jira: Extensive experience in using Jira for project management, issue tracking, and workflow customization.

• Linear: Familiarity with Linear's modern approach to issue tracking and project management.

• Azure DevOps: Experience with Azure DevOps for managing software development lifecycles, including boards and pipelines.

• GitHub Projects: Proficiency in using GitHub Projects for task management and workflow visualization.

• GitLab Issues/Boards: Experience with GitLab's integrated issue tracking and project management features.

• Shortcut: Familiarity with Shortcut's capabilities for product development workflows.

• Asana: Experience using Asana for project and task management, team collaboration.

• ClickUp: Knowledge of ClickUp's all-in-one productivity platform for task management and workflow automation.

• Monday.com: Experience with Monday.com's work operating system for managing projects, workflows, and teams.

Analytics & Reporting:

• While not explicitly listed as a requirement for participants, experience in using analytics and reporting features within these workflow tools (e.g., Jira dashboards, Asana reporting) to track progress and performance would be beneficial. CRM & Automation:

• Understanding of how workflow management tools integrate with CRMs or other business systems for enhanced automation and data flow.

📝 Enhancement Note: Direct, hands-on experience with at least one, and ideally multiple, of the listed workflow management tools is a core requirement. This indicates the research will focus on practical, real-world usage and comparative insights between these platforms.

👥 Team Culture & Values

Operations Values:

• Data Integrity: Prolific values high-quality, ethically sourced data, meaning participants must provide honest and accurate feedback.

• Expertise: The platform relies on the specialized knowledge of its participants to drive AI development.

• Efficiency: Participants are expected to complete tasks efficiently and effectively, respecting both their time and the researchers' needs.

• Innovation: Contributing to the advancement of AI and future technologies aligns with a culture of innovation.

• Professionalism: Maintaining a professional demeanor and providing insightful contributions is key.

Collaboration Style:

• The "collaboration" is primarily with the AI and the research design, rather than with human colleagues.

• Participants contribute asynchronously by providing feedback and insights through the platform.

• While not direct collaboration, the aggregate of participant feedback collectively influences the direction of AI development.

📝 Enhancement Note: The company culture, as it pertains to participants, is centered around providing valuable, expert insights to fuel AI research. It's a culture of contribution and expertise, rather than team-based co-creation.

⚡ Challenges & Growth Opportunities

Challenges:

• Task Availability: The "bench" model means opportunities are not guaranteed and depend on specific project needs, requiring patience and consistent profile maintenance.

• AI Moderation: Adapting to AI-moderated interviews or tasks may require adjusting communication styles from typical human-to-human interactions.

• Specificity of Needs: Research projects may require very specific experience or opinions, meaning not all available tasks will be a perfect fit.

• Time Investment: While tasks are typically short, accumulating significant income may require consistent engagement over time.

Learning & Development Opportunities:

• Exposure to AI Research: Gain insight into how human data is used to develop advanced AI systems.

• Industry Trends: Stay informed about the latest developments and user perspectives on workflow management tools.

• Monetize Expertise: Develop a new avenue for leveraging professional skills and experience for financial gain.

• Flexible Income Stream: Build a supplementary income that offers autonomy and remote work flexibility.

📝 Enhancement Note: The primary growth opportunity lies in the direct financial reward for expertise and the indirect benefit of contributing to AI innovation. For experienced professionals, this is a way to monetize their existing knowledge rather than develop entirely new skills within this specific role.

💡 Interview Preparation

Strategy Questions:

• Tool Evaluation Process: Be prepared to articulate your step-by-step process for evaluating and selecting new workflow management tools. Detail the criteria you prioritize, stakeholders you involve, and how you assess ROI.

• Decision-Making Authority: Clearly describe your level of involvement and authority in purchasing decisions for development tools. Provide examples of specific tools you were instrumental in selecting and the rationale behind those choices.

• Workflow Optimization: Discuss how you have used workflow management tools to improve team productivity, streamline processes, or enhance collaboration. Be ready to share specific case studies of success.

Company & Culture Questions:

• Understanding Prolific: Research Prolific's mission and its role in the AI ecosystem. Understand why human data is crucial for AI development.

• Your Expertise: Be prepared to succinctly explain your professional background, highlighting your seniority and specific experience with workflow management tools.

• Data Contribution: Understand the value of your insights to AI researchers and be prepared to discuss how you would provide clear, actionable feedback.

Portfolio Presentation Strategy:

• Verbal Walkthrough: Since a formal portfolio may not be required, be prepared to verbally walk through a relevant project or decision-making process.

• Structured Examples: Use frameworks like STAR (Situation, Task, Action, Result) to clearly describe your experiences with tool selection, implementation, and management.

• Tool Comparisons: Be ready to compare and contrast your experiences with different workflow management tools, highlighting their strengths and weaknesses in various contexts.

• Focus on Impact: Emphasize the impact of your decisions and actions on team productivity, project outcomes, and organizational efficiency.

📝 Enhancement Note: Preparation should focus on clearly articulating professional experience, demonstrating seniority and decision-making authority, and showcasing practical knowledge of workflow management tools. The ability to provide concise, impactful examples is key.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided application link on Greenhouse.

• Prepare Your Professional Summary: Ensure your resume or application profile clearly highlights your Manager-level experience (or above) in Product Management or UX/Product Design, specifically mentioning your involvement with workflow management tools.

• Articulate Tool Experience: Be ready to detail your experience with specific tools like Jira, Linear, Asana, etc., and your role in their evaluation, selection, or implementation.

• Research Prolific: Understand Prolific's mission and its contribution to AI development. This will help you frame your expertise within their research context.

• Complete the Screener: Expect a short, paid screener task to assess your initial suitability. Be thorough and accurate in your responses.

⚠️ 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.