UX Researcher – AI Experiences

📍 Job Overview

Job Title: UX Researcher – AI Experiences

Company: Blueprint Technologies

Location: Redmond, WA

Job Type: Full-Time

Category: User Experience Research / Product Development

Date Posted: 2026-08-03

Experience Level: 0-2 Years

Remote Status: Hybrid

🚀 Role Summary

• Conduct end-to-end user research studies, both qualitative and quantitative, to inform the design and development of AI-powered productivity features.

• Synthesize complex research findings into clear, actionable recommendations for cross-functional product teams.

• Collaborate closely with product managers, designers, and engineers to ensure user-centric product development.

• Leverage AI tools to enhance research efficiency while critically evaluating their outputs for quality and accuracy.

• Contribute to improving the overall user experience, usability, and accessibility of AI-driven products.

📝 Enhancement Note: This role focuses on the intersection of User Experience (UX) Research and Artificial Intelligence (AI), a growing and critical area within technology product development. The emphasis on AI tools suggests a forward-thinking approach to research methodologies, requiring candidates to be adaptable and proficient in emerging technologies.

📈 Primary Responsibilities

• Plan, design, and execute end-to-end user research studies utilizing a blend of qualitative (e.g., interviews, usability studies) and quantitative (e.g., surveys, benchmark studies) research methodologies.

• Identify key research questions and select the most appropriate methods to gather robust data and insights.

• Conduct various research activities, including moderated and unmoderated usability studies, in-depth interviews, surveys, and benchmark studies to assess user interaction with AI features.

• Analyze and synthesize research data to identify user pain points, needs, and opportunities, translating them into clear, actionable recommendations for product improvements.

• Present research findings and insights effectively to diverse cross-functional stakeholders, including product managers, designers, engineers, and leadership, to influence product strategy and decision-making.

• Actively collaborate with product managers, designers, engineers, and other researchers throughout the entire product development lifecycle, from ideation to launch and iteration.

• Evaluate existing user experiences to pinpoint areas for enhancement in usability, accessibility, and overall customer satisfaction.

• Perform competitive research to understand market trends, user expectations, and the competitive landscape for AI-powered products.

• Integrate and utilize AI tools to streamline research processes, improve productivity, and gain efficiency, while maintaining a critical perspective on AI-generated outputs to ensure research integrity.

• Effectively manage multiple research projects concurrently, prioritizing tasks and ensuring timely delivery of insights within demanding project timelines.

📝 Enhancement Note: The responsibilities highlight a comprehensive UX research lifecycle, from planning and execution to analysis and stakeholder communication. The inclusion of "AI tools to improve research productivity" and "evaluate AI-generated outputs" is a significant differentiator, suggesting a need for candidates who are not only skilled in traditional UX research but also comfortable and critical in their use of AI in their workflow.

🎓 Skills & Qualifications

Education: Bachelor's, Master's, or PhD in Human-Computer Interaction (HCI), Psychology, Computer Science, Human Factors, Cognitive Science, or a closely related field. An advanced degree (Master's or PhD) is preferred.

Experience: 1–2 years of hands-on experience in User Experience (UX) research or usability research.

Required Skills:

• Proven experience planning, organizing, and managing UX research projects from inception through to final reporting and presentation.

• Proficient in a wide range of qualitative research methods, including user interviews, usability testing, and ethnographic studies.

• Skilled in quantitative research methods such as surveys, A/B testing analysis, and statistical data interpretation.

• Strong analytical and problem-solving abilities, with a demonstrated capacity to synthesize complex research data into clear, actionable insights and strategic recommendations.

• Excellent verbal and written communication skills, with a proven track record of presenting research findings effectively to both technical and non-technical audiences, including senior stakeholders.

• Ability to work autonomously and manage multiple projects simultaneously in a fast-paced, dynamic environment, demonstrating strong organizational and time management capabilities.

• Experience using AI tools to support research workflows, coupled with the critical thinking skills necessary to evaluate and validate AI-generated outputs.

• Experience collaborating effectively with cross-functional teams, including product management, design, and engineering, within a product development setting. Preferred Skills:

• Prior experience conducting UX benchmark or usability benchmarking studies to establish performance standards.

• Specific experience researching AI-powered products, intelligent systems, or user experiences within the AI domain.

• Familiarity with key usability metrics, user satisfaction measurement frameworks, and competitive analysis methodologies.

• Experience working within agile product development environments, adapting research practices to rapid iteration cycles and short timelines.

• Demonstrated curiosity, adaptability, and a proactive growth mindset, essential for learning new research methods and technologies.

• A genuine passion for enhancing customer experiences through evidence-based decision-making and user advocacy.

📝 Enhancement Note: The "Required Skills" section emphasizes practical application and project management, while "Preferred Skills" points towards specialized experience in AI and agile environments. The emphasis on "critical evaluation of AI-generated outputs" is a key differentiator for this role, suggesting a need for researchers who can balance technological advancement with rigorous scientific inquiry.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end UX research projects, demonstrating your ability to define research questions, select appropriate methodologies, execute studies, analyze data, and present findings.

• Include examples of how your research insights directly influenced product decisions, leading to tangible improvements in user experience, usability, or customer satisfaction.

• Present a diverse range of projects, ideally including both qualitative and quantitative studies, and ideally some related to AI or complex technology products.

• Clearly articulate your role and contributions within team-based projects, highlighting your collaboration and communication skills. Process Documentation:

• Detail the research planning process, including how you identify research goals, target users, and select methods.

• Illustrate your data analysis and synthesis techniques, showing how you derive actionable insights from raw data.

• Provide examples of how you document and communicate research findings, including presentation decks or reports that clearly convey complex information.

• Demonstrate an understanding of how research integrates into an agile product development workflow, including iterative research cycles and rapid feedback loops.

📝 Enhancement Note: For a UX Researcher role, a strong portfolio is paramount. The emphasis here is on demonstrating end-to-end ownership of research projects and, crucially, the direct impact of that research on product outcomes. The inclusion of AI tools suggests that candidates should be prepared to discuss how they leverage technology in their research process.

💵 Compensation & Benefits

Salary Range: $35.00 - $38.00 USD per hour.

Benefits:

• Comprehensive Medical, Dental, and Vision coverage for employees and their dependents.

• Flexible Spending Account (FSA) for healthcare and dependent care expenses.

• 401k retirement savings program with potential company match.

• Competitive Paid Time Off (PTO) offerings, encouraging work-life balance.

• Parental Leave to support new parents.

• Ample opportunities for professional growth and development, including training and advancement.

Working Hours: Typically 40 hours per week, with flexibility based on project needs and hybrid work arrangements.

📝 Enhancement Note: The provided salary range of $35-38 USD/hour for a UX Researcher with 0-2 years of experience in the Redmond, WA area is competitive, aligning with industry standards for early-career research roles in a tech hub. The benefits package is robust and standard for a full-time position in the US technology sector.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology Solutions / Consulting. Blueprint Technologies operates within the technology sector, focusing on providing solutions that leverage cutting-edge technology to transform and grow companies. This implies a dynamic, innovation-driven environment.

Company Size: Blueprint Technologies is a medium to large-sized firm, indicated by its "strong presence across the United States" and diverse teams. This size suggests a structured organization with clear processes but also opportunities for individual impact.

Founded: Blueprint Technologies was founded with a mission to unlock value from existing assets by leveraging technology. Its history likely emphasizes a commitment to innovation, problem-solving, and client-focused solutions.

Team Structure:

• The UX Research team likely operates within or closely with product development teams, collaborating with product managers, designers, and engineers.

• Reporting structure may involve a lead UX Researcher or a Director of Product/Design, with a focus on cross-functional team integration.

• Collaboration is key, with a strong emphasis on working with data science and product development units to integrate AI insights into product strategy. Methodology:

• Data-driven decision-making is central, with a focus on using user research to inform product strategy and development.

• Emphasis on agile methodologies, allowing for rapid iteration and continuous improvement based on user feedback.

• A culture of innovation and problem-solving, encouraging the exploration of new technologies and approaches, particularly in AI.

Company Website: [Blueprint Technologies website URL should be inserted here if available, e.g., bpcs.com]

📝 Enhancement Note: The company description highlights a culture of innovation, problem-solving, and client-focused technology solutions. For a UX Researcher, this translates to an environment where user insights are valued and directly contribute to shaping cutting-edge products, particularly in the rapidly evolving field of AI.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as an entry-level to junior UX Researcher (0-2 years of experience). It offers a foundational opportunity to build expertise in user research methodologies, particularly within the specialized domain of AI experiences.

Reporting Structure: The UX Researcher will likely report to a Senior UX Researcher, a UX Research Manager, or a Product Design Lead. This structure provides mentorship and guidance while allowing for increasing autonomy as experience grows.

Operations Impact: The UX Researcher plays a critical role in ensuring that AI-powered features are intuitive, effective, and meet user needs. Their work directly influences product design, user adoption, customer satisfaction, and ultimately, the success of Blueprint's AI initiatives and client solutions.

Growth Opportunities:

• Specialization: Develop deep expertise in researching AI-driven user experiences, becoming a go-to expert in this domain.

• Methodology Expansion: Gain proficiency in a wider array of advanced qualitative and quantitative research techniques, potentially including mixed-methods research and advanced statistical analysis.

• Leadership: Progress to Senior UX Researcher roles, leading research initiatives, mentoring junior researchers, and contributing to research strategy.

• Cross-functional Exposure: Work with diverse teams, gaining insights into product management, engineering, data science, and client engagement within a technology consulting context.

• Skill Development: Continuous learning opportunities in emerging AI technologies, research tools, and industry best practices.

📝 Enhancement Note: The "0-2 years" experience level indicates a strong focus on foundational skill development and mentorship. The growth opportunities are geared towards specialization within AI UX research and expanding research methodologies, aligning with the evolving demands of the tech industry.

🌐 Work Environment

Office Type: This is a hybrid role, requiring 1-2 days per week onsite in Redmond, WA. This blend allows for focused individual work at home and collaborative, in-person interaction at the office.

Office Location(s): Redmond, Washington. This location places the role within a major technology hub, offering opportunities for networking and exposure to industry trends.

Workspace Context:

• The office environment is expected to be collaborative, facilitating interaction with product managers, designers, and engineers for co-creation and feedback sessions.

• Access to necessary research tools, software, and technology will be provided to support both in-office and remote research activities.

• Opportunities for informal knowledge sharing and team building with colleagues working on innovative AI projects.

Work Schedule: Standard full-time working hours (approximately 40 hours per week) are expected, with a hybrid arrangement allowing for flexibility in work location. Specific onsite days will likely be determined by team needs and project requirements.

📝 Enhancement Note: The hybrid model is common in the tech industry, balancing the need for in-person collaboration with the benefits of remote work. Redmond's status as a tech hub is advantageous for networking and staying abreast of industry developments.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and conduct a brief phone screen to assess basic qualifications, interest, and cultural fit.

• Portfolio Review: Candidates will be asked to present their UX research portfolio, showcasing key projects, methodologies, and the impact of their research. Be prepared to walk through 2-3 significant projects in detail.

• Technical/Skills Interview: This may involve a deeper dive into research methodologies, problem-solving scenarios, and discussions about your experience with AI tools.

• Cross-functional Interview: Interviews with product managers, designers, or engineers to assess collaboration skills and how you integrate research into the product development lifecycle.

• Final Interview: Potentially with a senior leader, focusing on strategic thinking, career aspirations, and overall fit with Blueprint's culture.

Portfolio Review Tips:

• Curate Selectively: Choose 3-4 of your strongest projects that best demonstrate your end-to-end research capabilities, especially those involving AI or complex technical products.

• Focus on Impact: For each project, clearly articulate the problem, your research approach, the insights you uncovered, and, most importantly, the tangible impact your research had on the product or business. Use metrics where possible.

• Demonstrate Methodology: Be prepared to explain why you chose specific research methods and how you adapted them to the project's constraints.

• Highlight AI Experience: If you have experience researching AI products or using AI tools in your research, make this a prominent feature. Explain your approach to validating AI-generated outputs.

• Storytelling: Frame your projects as compelling narratives that highlight your problem-solving skills and user advocacy.

Challenge Preparation:

• Hypothetical Research Scenario: Be ready to discuss how you would approach a research problem for a new AI feature, including defining research questions, choosing methods, and outlining a timeline.

• Methodology Deep Dive: Prepare to discuss the pros and cons of various qualitative and quantitative methods in different contexts.

• Stakeholder Communication: Practice articulating research findings and recommendations concisely and persuasively for different audiences.

📝 Enhancement Note: The emphasis on a portfolio review is critical for this role. Candidates should prepare to not only show what they've done but also how they did it and why it mattered, particularly in the context of AI product development.

🛠 Tools & Technology Stack

Primary Tools:

• Research Platforms: Tools for conducting surveys, unmoderated studies, and remote usability testing (e.g., UserTesting.com, Maze, Qualtrics, SurveyMonkey).

• Collaboration Tools: Platforms for team communication and project management (e.g., Slack, Microsoft Teams, Jira, Confluence).

• Design & Prototyping Tools: Familiarity with tools used by designers and product teams (e.g., Figma, Sketch, Adobe XD) to understand prototypes and user flows.

• AI Research Support Tools: Experience with AI tools that can assist in tasks like transcription, thematic analysis, or generating initial hypotheses, with a critical understanding of their outputs.

Analytics & Reporting:

• Data Analysis Software: Proficiency in statistical software or libraries for quantitative analysis (e.g., SPSS, R, Python with pandas/numpy), or advanced Excel capabilities.

• Visualization Tools: Experience with tools like Tableau, Power BI, or even advanced charting in Excel/Google Sheets to present data clearly.

• Qualitative Analysis Tools: Familiarity with software that aids in coding and analyzing qualitative data (e.g., NVivo, Dovetail).

CRM & Automation:

• While not primary for this role, understanding how user feedback integrates with CRM systems or product feedback platforms can be beneficial.

📝 Enhancement Note: The mention of "AI tools to improve research productivity" is a key indicator of the technology stack. Candidates should be prepared to discuss their experience with AI-assisted research, alongside standard UX research tools and data analysis software.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and advocating for the user in all product development decisions.

• Data-Driven Insights: Valuing evidence-based decision-making, using research to guide strategy and validate hypotheses.

• Collaboration & Teamwork: Fostering an environment where cross-functional teams work together effectively to achieve common goals.

• Innovation & Agility: Embracing new technologies and methodologies, adapting quickly to evolving market demands and user needs, especially in AI.

• Continuous Learning: Encouraging professional development and a growth mindset to stay at the forefront of UX research and AI advancements.

Collaboration Style:

• Cross-functional Integration: Active participation in product teams, working closely with PMs, designers, and engineers, providing research input at all stages.

• Open Communication: Encouraging candid feedback and open dialogue to ensure research findings are understood and acted upon.

• Knowledge Sharing: A culture that promotes sharing research insights, best practices, and learnings across teams and the broader organization.

📝 Enhancement Note: The values emphasize a blend of traditional UX research principles (user-centricity, data-driven) with a forward-looking approach embracing AI and agile methodologies. This suggests a dynamic and collaborative environment where research is integral to innovation.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the fast-changing field of AI and understanding its implications for user experience and research methodologies.

• Balancing AI Efficiency with Rigor: Effectively leveraging AI tools for research while maintaining scientific integrity and critically evaluating AI-generated outputs.

• Communicating Complex AI Concepts: Translating intricate AI functionalities and research findings into understandable terms for diverse stakeholders.

• Defining User Needs for Novel AI Features: Researching user behaviors and expectations for AI-driven products that may not have direct precedents.

• Managing Multiple Projects: Successfully juggling research for various AI features and products within tight deadlines.

Learning & Development Opportunities:

• AI Research Specialization: Opportunities to become a subject matter expert in UX research for AI products.

• Advanced Methodologies: Training and practical application of cutting-edge qualitative and quantitative research techniques.

• Industry Conferences & Workshops: Participation in relevant UX, AI, and technology conferences to stay updated on trends and best practices.

• Mentorship: Guidance from senior researchers and product leaders within Blueprint Technologies.

• Exposure to Diverse Projects: Working on a variety of client projects and internal product initiatives, broadening experience across different industries and AI applications.

📝 Enhancement Note: The challenges are directly tied to the role's focus on AI, highlighting the need for adaptability and critical thinking. The growth opportunities are well-aligned with developing specialized expertise in a high-demand field.

💡 Interview Preparation

Strategy Questions:

• "How would you approach researching the user experience for a new AI-powered feature that automates a complex workflow?" (Focus on methodology, user segmentation, and key questions.)

• "Describe a time you had to present complex research findings to stakeholders who were skeptical or unfamiliar with UX research. How did you ensure they understood and acted on your recommendations?" (Focus on communication, persuasion, and stakeholder management.)

• "Imagine you're tasked with evaluating the usability of an AI chatbot. What specific methods would you employ, and what metrics would you track to assess its effectiveness and user satisfaction?" (Focus on methodological choices and metric justification.) Company & Culture Questions:

• "What interests you specifically about researching AI experiences at Blueprint Technologies?" (Research the company's AI initiatives and connect your interests.)

• "How do you see yourself contributing to a collaborative, cross-functional team environment focused on innovation?" (Highlight your teamwork and proactive approach.)

• "How do you approach staying current with advancements in AI and UX research methodologies?" (Demonstrate your commitment to continuous learning.) Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly outline the problem, your research goals, your methodology, key findings, actionable recommendations, and the impact of your work.

• Emphasize AI Relevance: If applicable, detail your experience researching AI products or using AI tools in your workflow. Explain how you critically evaluated AI outputs.

• Quantify Impact: Use data and metrics whenever possible to demonstrate the success of your research and its influence on product outcomes.

• Be Prepared for Questions: Anticipate questions about your methodological choices, how you handled challenges, and how your research informed design decisions.

📝 Enhancement Note: Interview preparation should heavily emphasize the AI aspect of the role and the candidate's ability to critically use AI tools in their research. The portfolio presentation is a key component, requiring candidates to tell a compelling story about their research impact.

📌 Application Steps

To apply for this UX Researcher position:

• Submit your application through the provided link on Greenhouse.

• Portfolio Customization: Tailor your resume and cover letter to highlight your experience with qualitative and quantitative research, your understanding of AI concepts, and any relevant projects involving AI or complex technology.

• Resume Optimization: Ensure your resume clearly details your 1-2 years of UX research experience, specific methodologies used, and any quantifiable achievements or impacts from your past work. Integrate keywords like "UX Research," "AI," "Usability Testing," and "Data Synthesis."

• Interview Preparation: Practice articulating your research process, especially how you identify research questions, select methods, analyze data, and present findings. Prepare to discuss your experience with AI tools and your approach to critical evaluation.

• Company Research: Familiarize yourself with Blueprint Technologies' mission, values, and any publicly available information about their AI initiatives or technology solutions to demonstrate genuine interest and cultural alignment.

⚠️ 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.