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

Absolutely! Here is the enhanced job description, structured for clarity and professional appeal, with a focus on operations and GTM roles.

📍 Job Overview

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

Company: Prolific Academic Ltd

Location: Remote (Italy)

Job Type: Contractor

Category: User Research / Expert Network (Operations & GTM Focus)

Date Posted: 2026-06-16

Experience Level: Manager-level and above (equivalent to 5-10 years experience)

Remote Status: Remote Solely

🚀 Role Summary

• Engage in high-value research projects focused on workflow management tools, directly influencing AI development and product strategy.

• Leverage extensive experience in Product Management or UX/Product Design leadership to provide critical insights into tool evaluation, selection, and implementation.

• Participate in paid qualitative research activities, including interviews and surveys, to inform AI models and organizational decision-making processes.

• Contribute to the development of more accurate, nuanced, and aligned AI systems by providing real-world professional expertise.

• This is a flexible, remote opportunity for experienced professionals to monetize their domain knowledge in a contractor capacity.

📝 Enhancement Note: This role is framed as a research participant opportunity rather than a traditional full-time employment role. The "operations" focus is derived from the subject matter expertise required – specifically, decision-making and usage of workflow management tools within a business context. This is crucial for candidates to understand.

📈 Primary Responsibilities

• Participate in paid screening tasks (10-15 minutes) to assess suitability for specific research projects.

• Engage in AI-moderated interviews and written tasks, providing in-depth insights into workflow management tools and processes.

• Complete qualitative surveys and feedback activities related to product development, design workflows, and tool adoption.

• Share expert perspectives on the evaluation, selection, purchasing, and implementation of workflow management tools within organizations.

• Articulate user experience, pain points, and strategic considerations related to productivity and collaboration software for development teams.

• Provide feedback on emerging technologies and user needs within the workflow management tool landscape.

📝 Enhancement Note: While not a traditional operations role, the responsibilities directly leverage operations-adjacent functions related to tool procurement, process optimization through technology, and strategic decision-making that impacts team efficiency and productivity.

🎓 Skills & Qualifications

Education: Not explicitly stated, but assumed to be commensurate with Manager-level or above experience in Product Management or Design.

Experience:

• Manager-level experience or higher in Product Management, or Product Design functions (typically 5-10 years).

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

• Familiarity with software development, product development, or design workflows and their associated toolchains.

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

• Product Management Expertise: Deep understanding of product lifecycle, strategy, and roadmapping.

• UX/Product Design Leadership: Proven ability to guide design strategy, user research, and user experience principles.

• Workflow Management Tool Proficiency: Hands-on experience with or significant decision-making involvement in tools like Jira, Linear, Azure DevOps, GitHub Projects, GitLab Issues/Boards, Shortcut, Asana, ClickUp, or Monday.com.

• Tool Evaluation & Selection: Ability to assess software features, ROI, and organizational fit.

• Decision-Making Authority: Experience participating in or leading procurement and strategic technology decisions.

• Communication Skills: Ability to clearly articulate complex ideas, feedback, and insights in written and verbal formats.

Preferred Skills:

• AI/ML Understanding: General awareness of how user data informs AI model development.

• People Operations (People Ops) Insight: Understanding of team dynamics and operational efficiency from a human resources or team management perspective.

• Cross-Functional Collaboration: Experience working with engineering, marketing, and other departments on tool adoption.

• Budget Management: Experience with financial aspects of technology procurement.

📝 Enhancement Note: The requirement for "Manager-level experience or higher" combined with involvement in tool selection and purchasing strongly implies a need for strategic thinking and an understanding of business impact, which are core to operations and GTM roles.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• While a traditional portfolio of design work is not explicitly required for this research role, candidates should be prepared to demonstrate their expertise through their responses.

• Case Study Articulation: Ability to verbally or in writing describe specific instances of evaluating, selecting, or implementing workflow management tools, highlighting the process, challenges, and outcomes.

• Process Mapping: Capacity to describe typical workflow processes within their domain (Product Management, UX Design) and how tools support or hinder them.

• System Integration Awareness: Understanding of how different workflow tools might connect or integrate within a larger technology stack.

• ROI Demonstration: Ability to discuss how tool selection impacts efficiency, cost, and productivity, even if not formally documented in a case study.

Process Documentation:

• Candidates will be asked to share insights into their current or past processes related to:

  • Workflow design and optimization.

  • Tool selection and implementation methodologies.

  • Performance measurement and analysis of tool effectiveness.

📝 Enhancement Note: The emphasis here is on the candidate's ability to articulate their knowledge and experience rather than a formal portfolio. The "portfolio" aspect translates to how well they can describe their decision-making processes and experiences with workflow tools.

💵 Compensation & Benefits

Salary Range: Up to $200 per hour.

Explanation of Range: Prolific is known for compensating participants at high rates, reflecting the specialized expertise required for their research. The $200/hour figure is stated directly in the job description and is typical for experienced professionals providing niche insights. This rate is for paid tasks requiring one hour of uninterrupted work, though many tasks may be shorter.

Benefits:

• Flexible Hours: Ability to choose when to undertake paid tasks, fitting around existing commitments.

• Work From Home: Fully remote participation opportunity, eliminating commute time and costs.

• Competitive Compensation: High hourly rates for leveraging professional expertise.

• Influence AI Development: Opportunity to directly contribute to the advancement of AI models and technology.

• Platform Access: Entry into a platform connecting researchers with expert insights.

Working Hours: Flexible. Participants can choose to complete paid tasks as they become available, fitting around their existing work schedules. The commitment is task-based rather than a fixed schedule.

📝 Enhancement Note: The compensation model is per-task/per-hour, not a salary. This is a contractor role focused on research participation. The "working hours" flexibility is a key benefit for busy professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI), Data Services, Research Platform.

Company Size: Prolific connects researchers with a global pool of participants. The internal team size is not specified but operates as a platform provider.

Founded: Prolific was founded to facilitate ethical and high-quality human data collection for AI development.

Team Structure:

• Participants join Prolific as independent contractors, not as part of a fixed internal team structure.

• They interact with Prolific's platform and potentially AI-moderated research environments.

• Collaboration is primarily with researchers who are seeking specific expertise. Methodology:

• Prolific's core methodology is to connect researchers with a diverse and verified pool of human participants to gather high-quality behavioral data.

• They focus on ethical data sourcing and ensuring participants are fairly compensated for their time and expertise.

• The platform aims to provide the "biggest pool of quality human data in the world" to drive AI innovation.

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

📝 Enhancement Note: Prolific acts as an intermediary. The "culture" for participants is defined by the platform's user experience, the quality of research opportunities, and the compensation structure, rather than a traditional corporate office environment.

📈 Career & Growth Analysis

Operations Career Level: This role targets professionals at a Manager-level or above, indicating a need for significant industry experience and decision-making capability. It's positioned as a way to monetize existing expertise rather than a traditional career progression path within Prolific itself.

Reporting Structure: Participants do not report to a manager within Prolific. They are independent contractors who complete tasks assigned through the platform based on researcher needs.

Operations Impact:

• Participants directly influence the development of AI models by providing real-world data and insights.

• Their expertise helps organizations and researchers make better decisions about tools, processes, and product development strategies.

• By contributing to the creation of more accurate and nuanced AI systems, they indirectly impact the future of technology and how businesses operate. Growth Opportunities:

• Monetize Expertise: Earn significant income by sharing professional knowledge on workflow management tools.

• Stay Current: Gain exposure to research questions that may reflect emerging trends in AI and workflow technologies.

• Flexible Engagement: Participate in research on a project-by-project basis, allowing for flexibility around current employment.

• Influence Technology: Contribute to the ethical and effective development of AI and software products.

📝 Enhancement Note: The "growth" here is financial and experiential (influencing AI) rather than climbing a corporate ladder. It's about leveraging existing career capital.

🌐 Work Environment

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

Office Location(s): Open to professionals in Italy who meet the criteria.

Workspace Context:

• Independent Work: Requires a dedicated, uninterrupted space to complete paid tasks (interviews, surveys).

• Technology Dependent: Requires a reliable internet connection and a computer.

• Self-Managed: Participants manage their own time and availability to accept and complete tasks.

Work Schedule: Highly flexible. Tasks can be completed at times that suit the participant, provided they meet deadlines. The emphasis is on task completion rather than adherence to a set schedule.

📝 Enhancement Note: The "work environment" is entirely self-directed, emphasizing autonomy and the ability to integrate research participation into an existing professional life.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A short, 10-15 minute test to assess basic suitability and credentials.

• Credential Verification: Prolific verifies professional experience and decision-making roles.

• Task Assignment: Eligible participants are added to a "bench" and become eligible for research opportunities as they arise and match their profile.

• Research Participation: Engaging in AI-moderated interviews, written tasks, and qualitative surveys.

Portfolio Review Tips:

• Highlight Relevant Experience: Be ready to clearly articulate your experience with specific workflow management tools (Jira, Asana, Monday.com, etc.) and your role in their evaluation or selection.

• Quantify Impact: If possible, describe the impact of tool choices on team efficiency, productivity, or cost savings.

• Describe Decision-Making Process: Detail your involvement in purchasing, budgeting, or strategic recommendations for such tools.

• Showcase Process Understanding: Be prepared to explain common workflows within your domain and how tools fit into them.

Challenge Preparation:

• Tool Familiarity: Refresh your knowledge of the key workflow management tools mentioned, and be prepared to discuss their pros, cons, and use cases.

• Decision-Making Scenarios: Think of specific examples where you had to choose a tool, justify a purchase, or influence adoption.

• User Experience Focus: Be ready to discuss user pain points and how tools can improve the overall experience for development teams.

📝 Enhancement Note: The "interview process" is more of a qualification and onboarding process for becoming a research participant rather than a traditional job interview. The focus is on verifying expertise.

🛠 Tools & Technology Stack

Primary Tools (Direct Experience Required):

• Jira: Comprehensive issue tracking and project management.

• Linear: Modern issue tracking and project management for software teams.

• Azure DevOps: Microsoft's suite for planning, developing, and testing software.

• GitHub Projects: Project management integrated with GitHub repositories.

• GitLab Issues/Boards: Project management features within the GitLab platform.

• Shortcut: Formerly Clubhouse, a project management tool for software teams.

• Asana: Work management platform for teams.

• ClickUp: All-in-one productivity platform for teams.

• Monday.com: Work operating system for managing projects, workflows, and processes.

Analytics & Reporting (Implicitly Related):

• While not explicitly listed as required tools, participants may be asked to discuss analytics features within these workflow tools or how they measure tool effectiveness. CRM & Automation (Implicitly Related):

• Understanding of how workflow tools integrate with or complement CRM systems and automation platforms may be discussed.

📝 Enhancement Note: This is a critical section for candidates. Direct, hands-on experience or significant decision-making involvement with at least one of these tools is a hard requirement for participation.

👥 Team Culture & Values

Operations Values (as reflected by Prolific's participant requirements):

• Expertise & Credibility: High value placed on verified professional experience and domain knowledge.

• Data Quality: Emphasis on providing accurate, honest, and insightful feedback.

• Efficiency: Interest in tools and processes that improve productivity and streamline workflows.

• Strategic Thinking: Focus on decision-making, ROI, and the impact of technology on organizational goals.

• Ethical Contribution: Contributing to the responsible development of AI.

Collaboration Style:

• Independent Contribution: Participants work autonomously on tasks.

• Researcher Interaction: Communication with researchers is through the platform's defined research activities (interviews, surveys).

• Data-Driven Feedback: Insights provided are expected to be grounded in professional experience and data.

📝 Enhancement Note: The "culture" for participants is one of professional contribution and expert feedback, valued by researchers for its quality and relevance.

⚡ Challenges & Growth Opportunities

Challenges:

• Task Availability: Opportunities are dependent on researcher demand and profile matching; there's no guarantee of continuous work.

• Screening Success: Passing the initial screening and subsequent tasks requires demonstrating clear, relevant expertise.

• Time Commitment: While flexible, tasks require dedicated, uninterrupted time, which may be challenging for those with demanding full-time roles.

• Subjectivity of AI: Insights are used to train AI, which can be an abstract process compared to direct product development.

Learning & Development Opportunities:

• Industry Insight: Gain exposure to current research questions and trends in AI development and workflow management.

• Networking (Indirect): Connect with researchers and organizations at the forefront of AI innovation.

• Skill Articulation: Opportunity to refine the ability to communicate complex professional experiences concisely and effectively.

• Financial Reward: Direct financial benefit for leveraging existing professional skills.

📝 Enhancement Note: The primary "challenge" is the intermittent nature of opportunities, and the "growth" is primarily financial and experiential.

💡 Interview Preparation

Strategy Questions:

• "Describe your experience evaluating and selecting workflow management tools for your team. What criteria did you use?"

• "Walk me through a time you influenced a purchasing decision for a significant software tool. What was the process and outcome?"

• "What are the biggest pain points you experience with current workflow management tools, and how could they be improved?"

• "How do you measure the success or ROI of a workflow management tool within your organization?"

• "What is your experience with [specific tool, e.g., Jira, Asana] and how has it impacted your team's productivity?" Company & Culture Questions (for Prolific platform):

• "How do you verify the credentials of your participants?"

• "What kind of research projects are typically available?"

• "How are participants compensated, and what is the typical payment process?" Portfolio Presentation Strategy:

• Focus on Process: Be prepared to walk through your decision-making process for tool selection, not just show a tool's interface.

• Quantify Results: Use numbers and metrics where possible to illustrate the impact of your decisions or tool usage.

• Tell a Story: Frame your experiences as narratives that highlight your expertise, problem-solving skills, and understanding of business needs.

• Tool Specifics: Be ready to discuss the features, benefits, and drawbacks of specific workflow tools you've used extensively.

📝 Enhancement Note: Preparation should focus on articulating real-world experiences and decision-making processes related to workflow management tools, rather than preparing for a traditional job interview.

📌 Application Steps

To apply for this research opportunity:

• Submit your application through the provided link on Greenhouse.

• Prepare for the Screener: Be ready to accurately represent your professional title, years of experience, and specific involvement with workflow management tools.

• Curate Your Experience: Think of 1-2 strong examples of tool evaluation, selection, or implementation that you can articulate clearly and concisely.

• Review Key Technologies: Familiarize yourself with the listed workflow management tools (Jira, Asana, Monday.com, etc.) and be prepared to discuss your experience with them.

• Understand the "Bench" Model: Recognize that upon successful screening, you will be placed on a "bench" and offered tasks as they become available based on researcher needs and your profile match.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. This is a research participant opportunity, not a traditional full-time employment role. All details should be verified directly with Prolific Academic Ltd.