UX / Product Design Leaders and Decision-Makers for Workflow Management Tools
๐ Job Overview
Job Title: UX / Product Design Leaders and Decision-Makers for Workflow Management Tools
Company: Prolific Academic Ltd
Location: Remote
Job Type: Contractor
Category: User Experience (UX) / Product Design & Management Research Participant
Date Posted: 2026-06-16
Experience Level: Manager-Level or Above (5-10 years implied)
Remote Status: Remote Solely
๐ Role Summary
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This is a unique opportunity to participate in paid research studies as a subject matter expert in Product Management, UX/Product Design, and workflow management tools.
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Leverage your professional experience to influence the development of AI models by providing critical insights into real-world development processes and tool selection.
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Engage in AI-moderated interviews, qualitative surveys, and feedback activities, contributing directly to the advancement of AI capabilities.
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This role is ideal for experienced leaders who are involved in the evaluation, selection, and strategic decision-making for software development and collaboration tools within their organizations.
๐ Enhancement Note: This is not a traditional full-time employment role but rather a "bench" model where verified professionals become eligible for paid research tasks as they become available. The "experience level" is inferred from the "Manager-level position or above" requirement, suggesting a minimum of 5-10 years of relevant professional experience in product or design leadership. The "Contractor" employment type aligns with the nature of paid research participation.
๐ Primary Responsibilities
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Successfully complete a paid screener survey to validate professional background and suitability for specific research projects.
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Actively participate in AI-moderated interviews and written tasks, articulating expert opinions on workflow management tools and practices.
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Engage in qualitative surveys and other feedback activities to provide detailed insights on user experience, tool implementation, and organizational needs.
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Share expert knowledge and decision-making rationale regarding the evaluation, selection, implementation, and management of workflow management tools.
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Contribute to the development of more accurate and nuanced AI systems by providing high-quality, ethically sourced human behavioral data and feedback.
๐ Enhancement Note: The primary responsibilities are framed around participating in research and providing expert insights, rather than day-to-day operational tasks. The emphasis is on leveraging existing professional experience to inform AI development.
๐ Skills & Qualifications
Education: While no specific degree is mandated, a strong educational foundation in a relevant field (e.g., Computer Science, Human-Computer Interaction, Design, Business) is implied by the experience level required.
Experience:
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Minimum of 5-10 years of professional experience, holding a Manager-level position or above.
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Direct experience in Product Management, or UX/Product Design functions.
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Demonstrated experience in evaluating, selecting, implementing, or managing workflow management tools.
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Familiarity with software development, product development, or design workflows.
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Involvement in purchasing decisions, tool selection processes, budgeting, or providing strategic recommendations related to development and collaboration tools. Required Skills:
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Product Management: Deep understanding of product lifecycle, strategy, and roadmap development.
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UX/Product Design Leadership: Proven ability to lead design initiatives, understand user needs, and influence product direction.
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Workflow Management: Expertise in designing, optimizing, and managing development workflows.
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Tool Evaluation & Selection: Skill in assessing, choosing, and advocating for technology solutions based on organizational needs and ROI.
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Budgeting & Purchasing: Experience participating in or leading tool procurement processes, including budget considerations.
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Strategic Recommendation: Ability to provide informed strategic advice on technology adoption and process improvement.
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Qualitative Research: Aptitude for articulating detailed insights and feedback in an interview or written format.
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Domain Knowledge: Familiarity with software development, product development, or design processes and methodologies.
Preferred Skills:
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Experience with Agile or other relevant development methodologies.
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Understanding of AI development processes and the role of human data.
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Strong communication and articulation skills for providing clear and concise feedback.
๐ Enhancement Note: The qualifications are heavily focused on practical, hands-on experience and decision-making authority within the product and design domains, specifically concerning workflow tools. The "Manager-level or above" requirement strongly suggests a need for leadership experience and strategic involvement.
๐ Process & Systems Portfolio Requirements
Portfolio Essentials:
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While a formal portfolio submission isn't explicitly stated for the initial application, candidates will be expected to demonstrate their expertise through their professional background and responses during research tasks.
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Evidence of strategic decision-making in tool selection and workflow optimization will be critical.
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Candidates should be prepared to discuss their experience with specific workflow management tools and their impact on development processes. Process Documentation:
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Participants will be asked to describe and provide insights into their organization's current workflow processes, including any documentation or standardization practices.
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The ability to articulate the rationale behind process choices and tool implementations will be key.
๐ Enhancement Note: Given this is a research participant role, a traditional portfolio showcasing design work is less critical than the demonstrated experience and ability to articulate insights about processes and tools. The "portfolio" here refers to the collective professional experience and expertise that qualifies an individual for research participation.
๐ต Compensation & Benefits
Salary Range: Up to $200 per hour for completed paid tasks.
Benefits:
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Flexible Hours: The ability to choose when to complete paid tasks, fitting around your existing professional commitments.
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Work From Home: Complete all research activities remotely, offering significant flexibility and convenience.
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Competitive Pay: Earn substantial compensation for sharing your professional expertise.
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Influence AI Development: Contribute directly to the future of AI by providing real-world human data and insights.
Working Hours: Participants are expected to dedicate approximately one hour of uninterrupted work per paid task. The overall time commitment can vary based on the availability of suitable research projects and the participant's willingness to engage.
๐ Enhancement Note: The compensation is project-based, with a stated hourly rate. The benefits are centered around flexibility and remote work, which are attractive to experienced professionals. The "40 hours" for ai_working_hours is a generic placeholder and should be interpreted as the typical full-time equivalent for a professional, not a strict requirement for this specific role.
๐ฏ Team & Company Context
๐ข Company Culture
Industry: AI Development & Human Data Collection / Research Platform
Company Size: Prolific's platform connects a global pool of participants with researchers and companies. The company itself is a growing tech organization focused on facilitating AI development through ethical human data.
Founded: Prolific was founded in 2014.
Team Structure:
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As a research participant, you will not be joining a specific internal team at Prolific in a traditional employment sense. You will be part of a global network of verified professionals.
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Your interaction will primarily be with Prolific's platform and potentially AI-moderated systems for research tasks.
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You will collaborate indirectly with researchers and organizations who are users of the Prolific platform. Methodology:
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Prolific's core methodology involves ethically sourcing high-quality human behavioral data and feedback to improve AI models.
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They employ a rigorous verification process to ensure participants meet specific demographic and professional criteria.
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Research tasks are designed to gather specific, actionable insights relevant to AI development needs.
Company Website: https://www.prolific.com/
๐ Enhancement Note: The "Team Structure" and "Methodology" sections are adapted to reflect the nature of Prolific as a platform connecting participants to researchers, rather than a traditional company with internal teams and operational processes for employees.
๐ Career & Growth Analysis
Operations Career Level: This role is designed for individuals already operating at a Manager-level or above within Product Management or UX/Product Design. It offers a unique way to leverage existing expertise outside of a traditional job.
Reporting Structure: Participants do not report to a manager at Prolific. They engage with research tasks as an independent contractor, providing insights directly to researchers.
Operations Impact: Participants have a significant indirect impact on AI development. By providing high-quality data and insights on workflow management tools and processes, they help shape the future of AI, making it more effective, efficient, and aligned with real-world human needs and workflows.
Growth Opportunities:
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Skill Monetization: Opportunity to earn income by monetizing existing professional expertise and experience.
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Industry Insight: Gain exposure to cutting-edge AI development trends and research methodologies by observing the types of studies being conducted.
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Networking (Indirect): While not direct networking, participation connects you to the broader AI research community indirectly through the platform.
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Flexibility: The primary growth is in the ability to earn flexibly around existing career commitments.
๐ Enhancement Note: The "Career & Growth" analysis focuses on how this research participation opportunity complements an existing professional career, rather than offering traditional career progression within Prolific. The impact is on the external AI development ecosystem.
๐ Work Environment
Office Type: Fully Remote. All research tasks are conducted from the participant's own workspace.
Office Location(s): Not applicable, as the role is entirely remote.
Workspace Context:
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Participants require a quiet, dedicated space conducive to uninterrupted work for the duration of each paid task (typically one hour).
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Reliable internet access is essential for participating in AI-moderated interviews and completing online surveys.
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The environment should support focus and allow for clear audio/video during any interview components.
Work Schedule: Highly flexible. Participants can choose when to engage with available research tasks, provided they can commit to the required uninterrupted time for each task.
๐ Enhancement Note: The work environment is defined by the remote nature and the requirement for focused, uninterrupted work sessions for each research task.
๐ Application & Portfolio Review Process
Interview Process:
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Initial Screening: Submit an application detailing your professional background, focusing on Product Management or UX/Product Design leadership and experience with workflow management tools.
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Screener Task: If your initial application aligns with researcher needs, you will likely be invited to complete a short, paid screener survey or task to further assess your suitability and verify credentials.
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Eligibility: Upon successful verification, you will be placed on the "bench" and become eligible for paid research opportunities as they arise.
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Research Tasks: When a suitable project matches your profile, you will be invited to participate in AI-moderated interviews, surveys, or other feedback activities.
Portfolio Review Tips:
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Resume/Profile Clarity: Ensure your application clearly highlights your manager-level experience, specific roles in Product Management or UX/Product Design, and direct involvement with workflow management tools.
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Tool Proficiency: Be prepared to list and discuss your experience with specific tools mentioned (Jira, Linear, Asana, etc.) and any others you've utilized.
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Decision-Making Authority: Emphasize instances where you were involved in evaluating, selecting, implementing, or making purchasing decisions for these tools. Quantify impact where possible (e.g., "selected tool X, resulting in Y% efficiency gain").
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Workflow Articulation: Be ready to describe typical development workflows you've managed or influenced and how tools support or hinder them.
Challenge Preparation:
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Tool-Specific Scenarios: Anticipate questions about how you would evaluate a new workflow management tool, compare different tools for specific use cases, or troubleshoot common issues within a development workflow.
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Process Optimization: Be ready to discuss strategies for improving development team efficiency, collaboration, and output through tool selection and process refinement.
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AI Context: Understand that your insights will inform AI development. Be prepared to discuss how AI tools could potentially integrate into or improve current workflows.
๐ Enhancement Note: The application process is geared towards verifying professional expertise for research participation. The "portfolio review" is less about a visual portfolio and more about validating experience through the application, screener, and subsequent research tasks.
๐ Tools & Technology Stack
Primary Tools (Experience Required):
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Workflow Management Platforms: Direct experience with tools such as Jira, Linear, Azure DevOps, GitHub Projects, GitLab Issues/Boards, Shortcut, Asana, ClickUp, or Monday.com is a mandatory requirement.
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Product Management Tools: Familiarity with tools for roadmap planning, backlog management, and sprint tracking.
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Design & Prototyping Tools: Experience with tools relevant to UX/Product Design workflows (e.g., Figma, Sketch, Adobe XD) may be beneficial but not explicitly required for all tasks.
Analytics & Reporting:
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Experience utilizing analytics dashboards or reporting features within workflow management tools to track project progress, team performance, or identify bottlenecks. CRM & Automation:
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While not the primary focus, an understanding of how CRM systems and automation tools can integrate with or impact development workflows may be relevant.
๐ Enhancement Note: This section directly lists the required and relevant tools based on the job description's explicit mention of specific platforms. The emphasis is on practical, hands-on experience with these systems.
๐ฅ Team Culture & Values
Operations Values:
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Data-Driven Decision Making: Participants are expected to provide insights grounded in their professional experience and data, not just opinions.
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Efficiency & Optimization: A core value is the pursuit of improved workflows and processes through effective tool utilization.
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User-Centricity: Understanding and articulating user (developer, designer) needs and pain points is crucial.
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Expertise & Integrity: Prolific values participants who can provide honest, high-quality, and ethically sourced feedback.
Collaboration Style:
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As a participant, your collaboration is primarily with the research tasks themselves, which are often AI-moderated.
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The interaction requires clear, concise communication of your professional insights.
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While not direct team collaboration, your contributions collectively help researchers and organizations collaborate more effectively with AI.
๐ Enhancement Note: The "Team Culture & Values" are interpreted through the lens of what Prolific values in its research participants and the nature of the data collection process.
โก Challenges & Growth Opportunities
Challenges:
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Availability of Projects: Opportunities are project-dependent; there may be periods with fewer available tasks.
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Task Relevance: Not all available projects may perfectly align with your specific niche of expertise, requiring careful selection.
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AI Moderation: Adapting to AI-moderated interviews or tasks may be a new experience.
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Maintaining Focus: Ensuring uninterrupted focus for the duration of each paid task is critical for successful completion.
Learning & Development Opportunities:
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Monetize Expertise: The primary "growth" is financial, enabling you to earn income from your existing professional knowledge.
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Exposure to AI Research: Gain a unique perspective on how AI is being developed and the critical role of human data.
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Sharpen Communication Skills: Regular participation can hone your ability to articulate complex ideas concisely and effectively.
๐ Enhancement Note: Challenges and growth opportunities are framed around the unique nature of being a research participant rather than a traditional employee.
๐ก Interview Preparation
Strategy Questions:
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Tool Selection Rationale: "Describe a time you evaluated and selected a workflow management tool. What were your criteria, and what was the outcome?" (Be prepared to discuss specific tools like Jira, Asana, ClickUp, etc.)
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Process Improvement: "How have you leveraged workflow management tools to improve the efficiency or output of a product development team?" (Focus on specific processes, metrics, and tool features.)
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Decision-Making Experience: "As a manager, what is your process for making purchasing decisions for software tools? What budget considerations are involved?"
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Workflow Challenges: "What are the most common challenges you've encountered in software development or product design workflows, and how do tools help address them?"
Company & Culture Questions:
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Understanding Prolific: "What do you understand about Prolific's mission and how your expertise contributes to AI development?"
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Remote Work Suitability: "How do you ensure focused, uninterrupted work when participating in remote research tasks?"
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Ethical Data Contribution: "Why is providing ethically sourced human data important for AI development?"
Portfolio Presentation Strategy:
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Resume Walkthrough: Be prepared to walk through your resume, highlighting your leadership roles in Product Management or UX/Product Design, and specific experiences with workflow management tools.
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Case Study Examples: Have 1-2 concise examples ready of how you've implemented or managed workflow tools, detailing the problem, your approach, the tools used, and the results achieved (quantify if possible).
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Tool Expertise: Be ready to discuss the pros and cons of various workflow management tools you've used, and why you would recommend one over another for different scenarios.
๐ Enhancement Note: Interview preparation advice is tailored to the expected questions for a subject matter expert participating in paid research, focusing on validating their experience and insights related to workflow management tools and decision-making.
๐ Application Steps
To apply for this research participation opportunity:
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Submit your application through the provided link on Prolific's platform.
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Resume Optimization: Ensure your resume clearly details your experience as a Manager-level or above professional in Product Management or UX/Product Design. Highlight specific workflow management tools you have used and your role in their selection or implementation.
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Screener Preparation: Be ready to complete a short, paid screener task. This will likely involve questions verifying your professional background, tool experience, and decision-making authority.
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Company Research: Familiarize yourself with Prolific's mission, their platform, and their role in AI development. Understand how your expertise in workflow management contributes to their goals.
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Articulate Value: Be prepared to clearly articulate the value of your professional experience in the context of AI research and development.
โ ๏ธ Important Notice: This enhanced job description provides insights based on the provided information and industry standards for research participation roles. All details regarding eligibility, compensation, and task availability should be verified directly with Prolific Academic Ltd.
Application Requirements
Must hold a manager-level position or higher in Product Management or UX/Product Design. Requires direct experience evaluating and implementing workflow management tools like Jira, Linear, or Asana.