Lead Product Designer / User Experience / Usability Analytics

📍 Job Overview

Job Title: Lead Product Designer / User Experience / Usability Analytics

Company: Jobgether (Partner Company)

Location: United States

Job Type: Full-time

Category: User Experience Research & Design / Product Strategy

Date Posted: 2026-09-11

Experience Level: Mid-Senior to Lead (5-8+ years)

Remote Status: Fully Remote

🚀 Role Summary

• Lead high-impact UX and product research initiatives from discovery through actionable recommendations, influencing digital product and design strategy across complex projects.

• Combine rigorous qualitative and quantitative research methodologies with behavioral insights to uncover meaningful user needs and drive product innovation.

• Apply and evolve research practices using responsible AI-enabled tools, ensuring participant trust, privacy, and data integrity are paramount.

• Act as a strategic thought partner to designers, developers, executives, and other cross-functional stakeholders, translating complex findings into compelling narratives.

• Mentor peer researchers and designers, advance organizational research methodologies, and contribute to building scalable knowledge-sharing practices.

📝 Enhancement Note: This role is a senior leadership position within UX Research, focusing on strategic impact and methodological advancement. The emphasis on "Lead Product Designer / User Experience / Usability Analytics" suggests a blend of deep research expertise, design influence, and data-driven decision-making, particularly in understanding user behavior and optimizing digital touchpoints. The mention of AI-enabled tools indicates a forward-thinking approach to research practices.

📈 Primary Responsibilities

• Spearhead end-to-end UX and product research initiatives, selecting and applying appropriate methodologies (e.g., usability testing, interviews, participatory design, heuristic evaluations) based on research objectives and business needs.

• Conduct foundational and evaluative research across diverse digital touchpoints, including web, mobile, omnichannel, in-store technologies, and emerging AI-powered experiences.

• Analyze and synthesize qualitative research findings with quantitative and behavioral data to uncover deeper user insights and identify strategic opportunities.

• Translate complex research outcomes into clear, actionable insights and compelling design recommendations that directly influence product decisions and enhance user experiences.

• Identify recurring patterns and strategic themes across multiple research studies to inform broader organizational strategy and connect disparate projects.

• Develop and deliver persuasive presentations and storytelling tailored to diverse audiences, from technical teams to senior executives, ensuring research impact.

• Leverage approved AI tools to enhance efficiency in study preparation, analysis, synthesis, desk research, survey development, and reporting, while maintaining researcher judgment and methodological rigor.

• Design and evaluate AI-driven experiences (conversational, personalized, agentic) with a keen focus on usability, trust, transparency, and actual user behavior.

• Champion responsible AI research practices, ensuring appropriate handling of participant information and validation of AI-generated outputs.

• Maintain and improve searchable research repositories and knowledge bases to facilitate easy discovery, reuse, and integration of past findings into product and design workflows.

• Serve as a strategic thought partner during discovery phases, problem framing, and product strategy development, bringing clarity to ambiguous or evolving priorities.

• Mentor junior researchers and designers, elevate research quality standards, and guide the team in adopting effective emerging methods and AI-enabled practices.

• Contribute to internal thought leadership, case studies, learning materials, digital transformation initiatives, and professional practice communities.

📝 Enhancement Note: The responsibilities highlight a blend of hands-on research leadership, strategic influence, and team development. The emphasis on AI-enabled tools and AI-driven experiences is a significant differentiator, requiring candidates to be comfortable with emerging technologies and ethical considerations in research. The expectation to maintain knowledge bases points to a structured approach to organizational learning.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Psychology, Sociology, Anthropology, Design, Computer Science, or a related field is typically expected for roles of this seniority.

Experience: 5–8+ years of progressive experience in UX research, product research, usability research, or a closely related discipline, with a proven track record of influencing product and cross-functional strategy.

Required Skills:

• Demonstrated ability to independently lead complex, high-impact research initiatives end-to-end, from planning and study design through to strategic recommendation delivery.

• Strong portfolio showcasing robust digital product research experience across mobile, web, omnichannel, or comparable digital experiences.

• Deep expertise in qualitative research methodologies, including usability testing, user interviews, participatory design, and heuristic evaluation.

• Proven ability to synthesize diverse data sources, combining qualitative findings with quantitative and behavioral signals to generate well-supported insights.

• Exceptional communication, storytelling, facilitation, and presentation skills, with a talent for making complex research understandable and actionable for varied audiences.

• Experience researching or evaluating AI-driven experiences, with a solid understanding of usability, trust, transparency, responsible AI principles, data privacy, and model limitations.

• Proven ability to operate effectively in ambiguous environments, manage multiple priorities, and adapt research approaches as project needs evolve.

• Demonstrated mentoring and leadership capabilities, with a collaborative approach to raising research and design standards within a team.

• Strong client-service orientation and the ability to build trusted relationships with stakeholders across various technical expertise levels. Preferred Skills:

• Practical experience with AI-enabled research workflows, emerging research methodologies, or tools that demonstrably improve research quality, efficiency, or impact.

• Experience in managing and improving searchable research repositories and knowledge bases.

• Familiarity with data analytics tools and techniques to complement qualitative insights.

• Experience working within a remote-first or hybrid global team environment.

• Contributions to internal thought leadership, case studies, or professional practice communities.

📝 Enhancement Note: The experience requirement of 5-8+ years for a "Lead" role is standard. The emphasis on a portfolio, independent leadership, and the ability to synthesize diverse data (qualitative, quantitative, behavioral, AI) are critical indicators of the role's strategic nature. The preference for AI research experience highlights the company's focus on innovation.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio demonstrating a strong track record of leading complex digital product research initiatives from inception to impactful outcomes.

• Case studies showcasing the application of diverse qualitative and quantitative research methodologies to solve real-world product challenges.

• Examples of how research findings were translated into actionable insights that directly influenced product strategy, design decisions, and business objectives.

• Evidence of experience researching or evaluating AI-driven experiences, including considerations for usability, trust, transparency, and responsible AI.

• Projects that highlight the ability to synthesize complex data from multiple sources (user interviews, usability tests, behavioral data, etc.) into clear, compelling narratives.

• Demonstrations of advanced communication and presentation skills, showing how research was effectively conveyed to various stakeholders, including executives.

• (Optional but highly recommended) Examples of contributions to knowledge sharing, research repositories, or mentoring activities. Process Documentation:

• Showcase the ability to meticulously plan and document research processes, including study design, participant recruitment, data collection protocols, and analysis frameworks.

• Evidence of structured approaches to synthesizing research findings, ensuring rigor and clarity in the translation of raw data into actionable insights.

• Examples of how research processes were adapted to leverage AI-enabled tools or emerging methodologies to improve efficiency or depth of insights.

• Documentation of how research findings and insights are organized, stored, and made accessible to cross-functional teams for ongoing product development.

📝 Enhancement Note: For a Lead UX Researcher role, the portfolio is paramount. It must go beyond simply listing projects; it needs to demonstrate strategic thinking, methodological breadth, impact on product outcomes, and the ability to handle complex and emerging research areas like AI. Process documentation within case studies should highlight rigor and scalability.

💵 Compensation & Benefits

Salary Range: Given the "Lead" title, 5-8+ years of experience, and a fully remote US-based position, a competitive salary range would likely fall between $130,000 to $180,000 USD annually. This estimate considers variations based on specific location within the US (cost of living), the company's funding and maturity, and the candidate's precise experience and demonstrated impact.

Benefits:

• Remote Work Environment: Full flexibility to work from anywhere within the United States.

• Comprehensive Health Coverage: Medical, dental, and vision insurance plans to support employee well-being.

• Life Insurance: Coverage to provide financial security for employees and their families.

• Retirement Savings: 401(k) plan with employer matching, aiding long-term financial planning.

• Paid Time Off: Generous paid holidays to ensure work-life balance.

• Professional Development: Access to networking programs, career learning, and development initiatives to foster continuous growth.

• High-Impact Projects: Opportunities to work with Fortune 500 organizations and high-performing teams across diverse industries, offering significant professional exposure.

• Dynamic Culture: A work environment that emphasizes respect, empowerment, collaboration, innovation, and recognition.

• Career Advancement: Clear opportunities for career development, internal networking, thought leadership, and professional growth.

• Accommodation Support: Reasonable accommodations available for qualified individuals with disabilities throughout the employment and application process.

Working Hours: The role implies a standard full-time commitment, typically around 40 hours per week. Given the remote nature and global collaboration opportunities, some flexibility in working hours may be expected to accommodate different time zones, though core hours will likely be aligned with US business operations.

📝 Enhancement Note: The salary estimate is based on common benchmarks for Lead UX Researchers in the US market, especially for remote roles. The benefits package is comprehensive and aligns with typical offerings for senior tech roles, with a strong emphasis on professional development and a positive work culture. The mention of "remote work environment with opportunities to collaborate across a global community" and "working with Fortune 500 organizations" suggests a dynamic, possibly consultancy-like or large-platform environment.

🎯 Team & Company Context

🏢 Company Culture

Industry: The job listing is for a partner company managed by Jobgether, which specializes in AI-powered matching for job applications. The partner company operates within the Technology sector, likely focusing on digital product development, user experience, or enterprise software, given the role's requirements. Jobgether itself is a tech platform focused on recruitment technology.

Company Size: The size of the partner company is not specified. However, the emphasis on "leading high-impact research," "influencing product and design strategy across complex initiatives," and "mentoring peers" suggests an organization that values strategic UX research and may range from a mid-sized tech firm to a larger enterprise with dedicated product teams.

Founded: The founding date of the partner company is not provided. Jobgether was founded in 2023, indicating it is a relatively new company in the recruitment tech space.

Team Structure:

• Operations Team Aspect 1: The UX research team likely consists of skilled researchers and designers who collaborate closely on product initiatives. The role involves mentoring, indicating a team structure where knowledge sharing and skill development are encouraged.

• Operations Team Aspect 2: The Lead UX Researcher will likely report to a Director or VP of Product, Design, or Research, with direct collaboration with Product Managers, Designers, and Engineering leads.

• Operations Team Aspect 3: Cross-functional collaboration is a core aspect, requiring seamless integration with design, product management, engineering, and potentially marketing and executive leadership to ensure research insights drive strategic decisions.

Methodology:

• Operations Process 1: Data analysis and insights methods will be central, integrating qualitative, quantitative, and behavioral data, with an increasing focus on AI-assisted analysis and evaluation of AI-driven experiences.

• Operations Process 2: Workflow planning and optimization strategies will involve designing research studies, managing project timelines, and ensuring research outputs are integrated into product development lifecycles.

• Operations Process 3: Automation and efficiency practices will be explored through the use of AI-enabled research tools, aiming to accelerate research cycles while maintaining rigor and ethical standards.

Company Website: Jobgether: https://jobgether.com/ (The partner company's website is not directly provided, but applications are managed through Jobgether's platform).

📝 Enhancement Note: The context provided by Jobgether's platform suggests the partner company is likely a tech-forward organization that values data-driven decision-making and innovation. The "Lead" title implies a significant level of autonomy and strategic input within their product development process. The focus on AI is a key cultural indicator.

📈 Career & Growth Analysis

Operations Career Level: This is a Lead-level position within User Experience Research. It signifies a senior individual contributor role with significant autonomy and responsibility for driving research strategy and execution on complex, high-impact projects. It includes leadership in mentoring and advancing research methodologies within the organization.

Reporting Structure: The Lead UX Researcher would typically report to a senior leader such as a Director or VP of Product, Design, or Research. They would work closely with Product Managers, Designers, and Engineering teams, acting as a key strategic partner in product development.

Operations Impact: This role has a direct and substantial impact on product success by ensuring user needs are understood and addressed. By influencing product and design strategy, the Lead UX Researcher helps shape user experiences, improve product-market fit, drive user adoption, and ultimately contribute to business objectives like customer satisfaction, retention, and revenue growth. The focus on AI experiences also positions them at the forefront of emerging product innovation.

Growth Opportunities:

• Operations Skill Advancement: Deepen expertise in AI-driven user experiences, advanced research methodologies, and strategic product development.

• Leadership Development: Transition into management roles (e.g., Research Manager) by further developing mentoring and team leadership skills, or become a Principal/Staff Researcher focusing on highly specialized or strategic areas.

• Cross-functional Influence: Expand influence across product, design, engineering, and business strategy teams, potentially leading cross-departmental research initiatives.

• Industry Thought Leadership: Contribute to case studies, present at conferences, and build a reputation as an expert in UX research, AI ethics, and product strategy.

• Specialization: Develop deep expertise in specific product areas or research techniques (e.g., generative AI research, complex system design).

📝 Enhancement Note: The "Lead" designation implies a career path that is either a senior individual contributor track or a stepping stone to management. The emphasis on AI and strategic influence offers significant opportunities for growth in cutting-edge areas of product development.

🌐 Work Environment

Office Type: The role is advertised as Fully Remote. This indicates a distributed workforce where employees work from their own locations. The company likely fosters a strong virtual collaboration culture.

Office Location(s): While the role is US-based and remote, the specific office locations of the partner company are not detailed. However, the mention of collaborating across a "global community" and working with "Fortune 500 organizations" suggests the partner company may have a significant presence or client base across various regions.

Workspace Context:

• Workspace Aspect 1: The remote nature necessitates a highly collaborative and communicative environment, likely utilizing various digital tools for synchronous and asynchronous interaction. Emphasis will be placed on clear communication, documentation, and proactive engagement.

• Workspace Aspect 2: Access to essential operations tools and technology will be provided or expected. This includes robust collaboration platforms, project management software, and specialized UX research tools (potentially including AI-assisted platforms).

• Workspace Aspect 3: While physically distributed, opportunities for virtual team interaction will be crucial. This might include regular team meetings, virtual coffee chats, and dedicated channels for knowledge sharing and social connection to build camaraderie.

Work Schedule: Standard full-time hours (approximately 40 hours per week) are expected. However, the remote and potentially global nature of collaboration might offer some flexibility, allowing employees to structure their workdays to best suit their productivity and accommodate time zone differences for critical meetings or team interactions.

📝 Enhancement Note: The fully remote aspect is a key feature, emphasizing the need for self-discipline, strong communication skills, and comfort with virtual collaboration tools. The company likely has established processes to support a distributed team effectively.

📄 Application & Portfolio Review Process

Interview Process:

• Process Step 1: Initial Screening: A review of your application and resume by Jobgether's AI-powered matching system and/or a recruiter to assess basic qualifications and fit.

• Process Step 2: Portfolio Review: A deep dive into your submitted portfolio by the hiring company's UX/Product leadership to evaluate the quality, depth, and impact of your past research work, especially in digital and AI-driven experiences.

• Process Step 3: Hiring Manager Interview: A conversation with the hiring manager to discuss your experience, research philosophy, approach to complex problems, and alignment with the team's strategic goals.

• Process Step 4: Cross-functional Interviews: Interviews with designers, product managers, and potentially engineers to assess collaboration style, communication skills, and ability to integrate research into product workflows.

• Process Step 5: Final Interview/Executive Review: A final discussion with senior leadership to confirm strategic fit and address any remaining questions.

Portfolio Review Tips:

• Portfolio Tip 1: Curate 3-5 of your most impactful projects that best demonstrate leadership, strategic thinking, and end-to-end research ownership. Prioritize projects involving complex digital products, AI experiences, or significant business impact.

• Portfolio Tip 2: For each case study, clearly articulate the problem, your role and responsibilities, the research methodologies used (and why), the key insights derived, and the tangible impact of your work on the product or business (e.g., improved conversion rates, user satisfaction scores, strategic pivots). Use visuals effectively.

• Portfolio Tip 3: Be prepared to discuss your process for synthesizing qualitative and quantitative data, your approach to ethical AI research, and how you tailor your communication to different audiences. Highlight any experience in mentoring or advancing research practices.

• Portfolio Tip 4: Research the partner company's products and industry (if possible) to tailor your presentation. Think about how your skills and experience can directly address their challenges and contribute to their strategic goals, especially in the context of AI.

Challenge Preparation:

• Challenge Preparation 1: Be prepared for a potential research challenge or case study, either as part of the interview process or as a take-home assignment. This might involve analyzing a provided scenario, designing a research plan, or synthesizing hypothetical data.

• Challenge Preparation 2: Practice structuring your responses logically, clearly articulating your thought process, and demonstrating your ability to apply research principles to solve business problems efficiently. Time management will be key.

• Challenge Preparation 3: Focus on demonstrating how you would collaborate with stakeholders, articulate research strategy, and ensure your findings lead to actionable product improvements.

📝 Enhancement Note: The application process emphasizes AI screening by Jobgether, followed by a rigorous portfolio review by the hiring company. Candidates should meticulously prepare their portfolios to showcase strategic impact, leadership, and experience with AI research.

🛠 Tools & Technology Stack

Primary Tools:

• UX Research Platforms: Tools for usability testing (e.g., UserTesting, Lookback), session recording (e.g., Hotjar, FullStory), survey creation (e.g., SurveyMonkey, Qualtrics), and participant recruitment.

• Collaboration & Project Management: Tools like Slack, Microsoft Teams, Asana, Jira, Trello for communication, task management, and workflow tracking.

• Design & Prototyping Tools: Familiarity with Figma, Sketch, Adobe XD for understanding design outputs and potentially creating low-fidelity prototypes for testing.

• AI-Enabled Research Tools: Specific AI platforms or plugins used for accelerating study preparation, analysis, synthesis, desk research, survey generation, or reporting. (Specific tools not named, but competence is expected).

Analytics & Reporting:

• Web Analytics: Google Analytics, Adobe Analytics for understanding user behavior on web platforms.

• Data Visualization: Tools like Tableau, Power BI, Looker for creating dashboards and reporting on research findings and product performance metrics.

• Spreadsheet Software: Advanced proficiency in Excel or Google Sheets for data analysis and manipulation.

CRM & Automation:

• CRM Systems: Familiarity with CRM platforms like Salesforce, HubSpot, or similar, to understand customer data context and sales/marketing workflows.

• Data Integration Tools: Basic understanding of how data flows between systems (e.g., through APIs or integration platforms) to inform research on interconnected digital experiences.

📝 Enhancement Note: The technology stack emphasizes tools for user research, collaboration, and data analysis. The explicit mention of "AI-enabled research workflows" is critical, indicating a need for candidates to be conversant with or willing to learn AI applications in UX research.

👥 Team Culture & Values

Operations Values:

• Expertise: A commitment to deep knowledge and continuous learning in UX research, design, and emerging technologies like AI.

• Balance: Promoting work-life balance and sustainable work practices, especially within a remote environment.

• Respect: Fostering an inclusive environment where diverse perspectives are valued and individuals are treated with dignity.

• Teamwork: Encouraging collaboration, knowledge sharing, and mutual support among team members and cross-functional partners.

• Initiative: Empowering individuals to take ownership, proactively identify opportunities, and drive innovation.

Collaboration Style:

• Collaboration Approach 1: Highly collaborative and cross-functional, with a strong emphasis on clear communication and shared understanding of research goals and outcomes with Product Managers, Designers, and Engineers.

• Collaboration Approach 2: A culture of continuous improvement and feedback, where research processes and findings are openly discussed and refined.

• Collaboration Approach 3: Proactive knowledge sharing through documentation, internal presentations, and mentorship, ensuring insights are accessible and leveraged across the organization.

📝 Enhancement Note: The company culture appears to be modern, collaborative, and focused on professional growth and ethical practices, particularly relevant given the AI component of the role. The values align with a high-performing, supportive remote team.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Ambiguity: Operating effectively in ambiguous environments and adapting research approaches as project priorities and requirements evolve.

• Integrating AI Research: Ethically and effectively applying AI-enabled tools and researching AI-driven experiences, while managing potential biases and ensuring data privacy.

• Scalable Knowledge Sharing: Developing and maintaining robust, searchable research repositories that are actively used across the organization.

• Cross-Functional Alignment: Ensuring research insights are consistently understood, valued, and acted upon by diverse stakeholders with varying priorities and technical backgrounds.

• Remote Collaboration Dynamics: Maintaining strong team cohesion, communication, and productivity within a fully distributed team environment.

Learning & Development Opportunities:

• Operations Skill Advancement: Gaining cutting-edge experience in AI-driven UX research, advanced quantitative analysis, and strategic product leadership.

• Industry Engagement: Opportunities to attend industry conferences, participate in workshops, and pursue relevant certifications to stay abreast of research trends and AI advancements.

• Mentorship & Leadership: Receiving mentorship from senior leaders and developing leadership skills through mentoring junior researchers and contributing to team strategy.

• Exposure to Diverse Industries: Working with a range of Fortune 500 organizations and high-performing teams across multiple industries provides broad exposure and learning.

📝 Enhancement Note: The challenges are typical for senior roles in fast-evolving tech environments, particularly those involving AI. The growth opportunities are substantial, focusing on skill development in a high-demand area and leadership potential.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led a complex, high-impact research initiative from discovery to strategic recommendations. What was your process, and what was the outcome?" (Focus on end-to-end ownership, methodology, and measurable impact).

• "How do you approach synthesizing qualitative data with quantitative and behavioral insights? Can you provide an example?" (Demonstrate analytical rigor and ability to form holistic insights).

• "Imagine you need to research a new AI-powered conversational agent. What are your key considerations regarding usability, trust, and responsible AI principles?" (Assess understanding of AI ethics and user experience for AI products).

• "How do you tailor your research communication to different stakeholders, such as engineers versus senior executives?" (Highlight storytelling and strategic communication skills). Company & Culture Questions:

• "Based on what you know about this role and Jobgether's platform, how do you see your research expertise contributing to our partner company's product strategy?" (Showcase research into the company and role).

• "How do you approach mentoring junior researchers or designers to elevate their skills and research quality?" (Assess leadership and team development capabilities).

• "Describe your experience working in a fully remote environment. What strategies do you use to ensure effective collaboration and communication?" (Gauge adaptability to remote work). Portfolio Presentation Strategy:

• Presentation Strategy 1: Structure your portfolio case studies with a clear narrative: Problem -> Your Role & Process -> Key Insights -> Impact/Outcome. Use strong visuals and concise language.

• Presentation Strategy 2: Be ready to discuss the "why" behind your methodological choices and how you adapted them. Emphasize the tangible business or user experience improvements driven by your research. Quantify impact where possible.

• Presentation Strategy 3: Practice presenting your work concisely, allowing ample time for Q&A. Be prepared to go deeper into specific aspects of your research process or findings. Demonstrate enthusiasm and a strategic mindset.

📝 Enhancement Note: Interview preparation should focus on demonstrating strategic leadership, deep research expertise (especially with AI), strong communication, and collaborative abilities. The portfolio is the central piece, so practice presenting it effectively.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Jobgether platform link provided.

• Concrete preparation step 1: Meticulously curate your portfolio, selecting 3-5 projects that best showcase your leadership in complex digital/AI research, strategic impact, and end-to-end execution. Prepare to articulate the "why" behind your methods and the quantifiable outcomes.

• Concrete preparation step 2: Optimize your resume to highlight keywords relevant to UX research leadership, AI-driven experiences, strategic planning, and cross-functional collaboration. Quantify achievements whenever possible.

• Concrete preparation step 3: Practice presenting your portfolio case studies clearly and concisely, anticipating questions about your methodology, insights, impact, and experience with AI research. Rehearse your responses to common behavioral and situational interview questions.

• Concrete preparation step 4: Conduct thorough research on Jobgether and infer the likely characteristics of their partner company. Understand their focus on AI-powered matching and consider how your skills align with a tech-forward organization that values data-driven product development and innovation.

⚠️ 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.