UX Reseacher

📍 Job Overview

Job Title: UX Researcher

Company: Blueprint Technologies

Location: Remote

Job Type: Full-time

Category: User Experience Research

Date Posted: April 8, 2026

Experience Level: Mid-Level (3-4 years)

Remote Status: Fully Remote

🚀 Role Summary

• Lead and execute mixed-methods UX research projects focusing on AI-powered features within a large-scale software ecosystem, particularly in spreadsheet and analytics tools.

• Design, conduct, and synthesize research to inform critical product decisions, with a strong emphasis on AI-assisted experiences.

• Manage a pipeline of UX research initiatives, ensuring efficient and scaled delivery of high-impact insights.

• Collaborate closely with cross-functional teams including product, design, and engineering to translate research findings into actionable product improvements.

• Communicate complex findings clearly and persuasively to diverse stakeholders, influencing product and design strategies.

📝 Enhancement Note: The role specifically calls for experience with AI-driven or generative AI (LLM-based) products, indicating a focus on cutting-edge technology within the software domain. The emphasis on "fast-moving," "imperfect information," and "rapid output generation" suggests a dynamic, agile environment where quick, impactful insights are paramount. This role is positioned within a technology solutions firm that leverages technology to transform companies, implying a strategic impact for the UX Researcher's work.

📈 Primary Responsibilities

• Execute multiple concurrent UX research projects, including task-based evaluations, benchmarking, and competitive studies.

• Design and conduct studies specifically evaluating AI-powered features and workflows against market alternatives.

• Build, manage, and maintain a robust pipeline of UX research activities to ensure efficient and scalable delivery.

• Conduct rapid qualitative, quantitative, and mixed-methods research to guide product direction and enhance existing user experiences.

• Apply UX benchmarking methodologies and competitive research approaches in fast-paced, ambiguous environments.

• Partner with external research vendors for participant screening, recruitment, and study execution.

• Analyze and synthesize insights from diverse qualitative and quantitative data sources, balancing statistical rigor with qualitative interpretation.

• Prioritize research findings and translate complex data into clear, actionable recommendations for product and design teams.

• Collaborate closely with product managers, designers, engineers, and research operations to align research objectives and timelines.

• Communicate research findings effectively through well-designed presentations, reports, videos, and other deliverables.

• Influence product and design decisions by presenting compelling, data-driven recommendations and strong storytelling.

• Rapidly deliver high-quality research artifacts (presentations, videos, documents) that clearly communicate outcomes to various stakeholders.

📝 Enhancement Note: The responsibilities highlight a blend of strategic research design, hands-on execution, and strong communication skills. The emphasis on "AI-assisted experiences in spreadsheet and analytics tools" suggests a need for domain familiarity or rapid learning. The requirement to "move quickly, make clear judgment calls with imperfect information" points to an agile development environment where hypothesis-driven research is key.

🎓 Skills & Qualifications

Education:

• Bachelor’s degree (minimum) in a research-centric field such as Human-Computer Interaction, Psychology, Statistics, Data Science, Engineering, or a related discipline.

Experience:

• 3-4 years of professional experience as a full-time UX Researcher delivering clear, actionable insights in fast-paced environments.

Required Skills:

• Demonstrated mixed-methods UX research experience, including qualitative and quantitative approaches.

• Proven experience conducting UX benchmark studies, competitive research, or equivalent evaluative research.

• Strong statistical understanding and ability to interpret quantitative results alongside qualitative findings.

• Hands-on experience using remote UX research platforms and tools.

• Exceptional project management skills, with the ability to manage multiple workstreams simultaneously.

• Strong written and verbal communication skills, with experience influencing cross-functional stakeholders.

• Comfort working in rapidly changing, ambiguous environments and making clear, confident decisions.

Preferred Skills:

• Master’s degree or higher in Human-Computer Interaction, Human Factors, HCDE, Psychology, Statistics, Data Science, or a closely related field.

• Direct experience conducting UX research for AI-powered or generative AI products.

• Familiarity with productivity software ecosystems, including spreadsheet, collaboration, and AI-assisted tools.

• Experience partnering with external research vendors or managing participant recruitment pipelines.

• Strong research rigor, attention to detail, and passion for translating business and product questions into valid research studies.

📝 Enhancement Note: The experience requirement of 3-4 years positions this as a mid-level role, suitable for individuals ready to take on more project leadership. The specific mention of AI/LLM research experience (minimum 6 months) is a key differentiator, signaling a focus on emerging technologies. The educational requirements are broad, emphasizing research-centric fields, which aligns with the mixed-methods nature of the role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of mixed-methods UX research projects, demonstrating proficiency in both qualitative and quantitative methodologies.

• Examples of UX benchmark studies, competitive research, or evaluative research that led to tangible product improvements.

• Case studies illustrating the ability to synthesize complex data from diverse sources into clear, actionable recommendations.

Process Documentation:

• Examples of research plans and methodologies used for both generative and evaluative research initiatives.

• Documentation illustrating how research findings were translated into clear, compelling presentations, reports, or videos for various stakeholders.

• Demonstrations of how research objectives were aligned with product and design timelines, showcasing project management capabilities.

• Evidence of comfort and effectiveness in ambiguous environments, showing how research was adapted to rapidly changing conditions.

📝 Enhancement Note: A strong portfolio is crucial for this role, emphasizing not just the execution of research but also the strategic impact and communication of findings. Candidates should be prepared to detail their process for handling ambiguity and delivering rapid insights, especially concerning AI technologies. The inclusion of work involving AI or LLMs will be highly advantageous.

💵 Compensation & Benefits

Salary Range:

• For candidates based in Washington State: $45.00 to $49.04 USD per hour.

Benefits:

• Medical, dental, and vision coverage

• Flexible Spending Account (FSA)

• 401k program

• Competitive Paid Time Off (PTO) offerings

• Parental Leave

Working Hours:

• 40 hours per week.

• Remote work requirement specifies working PST hours, indicating a need for alignment with Pacific Standard Time business operations.

📝 Enhancement Note: The salary range provided ($45-$49.04/hour) is specific to Washington State. For other remote locations within the US, this range will likely vary based on local cost of living and market rates for UX Researchers with AI experience. The requirement to work PST hours for a remote role suggests a focus on synchronous collaboration within that time zone, impacting work-life balance considerations for candidates in different regions.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology Solutions, Software Development, Consulting

Company Size: Not explicitly stated, but operates with a "strong presence across the United States" and involves "large-scale software ecosystems" and "multiple clients," suggesting a mid-to-large sized organization with significant project scope.

Founded: Not specified, but the description implies a company focused on innovation and leveraging "cutting-edge technology" to "transform and grow companies."

Team Structure:

• The UX Research team is described as "fast-moving."

• Collaboration is expected across Product, Design, Engineering, and external Research Vendors.

Methodology:

• Focus on bridging "strategy and execution" through technology.

• Emphasis on "solving complicated problems" and "unlocking value from existing assets."

• Commitment to continuous learning, growth, and developing new solutions.

• Agile and bold approach to problem-solving.

Company Website: bpcs.com

📝 Enhancement Note: Blueprint Technologies presents itself as an innovative, agile, and people-centric firm. The culture appears to value bold thinking, diverse perspectives, and a hands-on approach to problem-solving using technology. For a UX Researcher, this implies an environment where research is integrated into product development cycles, and insights directly contribute to business transformation and revenue generation for clients.

📈 Career & Growth Analysis

Operations Career Level: Mid-Level UX Researcher. This role offers the opportunity to lead significant research initiatives, impact product strategy, and gain specialized experience in AI-driven user experiences within a large software ecosystem.

Reporting Structure: The UX Researcher will be part of a "fast-moving UX Research team" and will "partner closely with product managers, designers, engineers, and research operations." The specific reporting line is not detailed but implies close integration with product development teams.

Operations Impact: The UX Researcher's work directly influences product decisions, aiming to improve user experiences, unlock new revenue streams, and grow companies by leveraging technology. Insights provided will be critical for refining AI-powered features and ensuring their adoption and effectiveness.

Growth Opportunities:

• Specialization: Deepen expertise in researching AI-driven products, generative AI, and large-scale software ecosystems.

• Leadership: Opportunities to lead research projects, mentor junior researchers (if applicable), and influence product roadmaps.

• Skill Development: Exposure to diverse product areas, advanced research methodologies, and cross-functional collaboration with top talent in design, engineering, and product management.

• Career Progression: Potential to move into Senior UX Researcher roles, UX Research Lead positions, or related product strategy roles within Blueprint or its client engagements.

📝 Enhancement Note: This role is positioned for growth, particularly within the specialized area of AI UX research. The company's model of transforming businesses through technology suggests that impactful UX research will be highly valued and can lead to significant career advancement opportunities.

🌐 Work Environment

Office Type: Fully Remote. This role is not tied to a physical office location.

Office Location(s): While the company is headquartered in Bellevue, Washington, this specific role is remote across the United States, with a requirement to work PST hours.

Workspace Context:

• A remote work environment that requires self-discipline, strong communication, and proactive engagement.

• Access to remote UX research platforms and tools is essential.

• Opportunities for virtual collaboration with a diverse, dispersed team.

Work Schedule:

• Standard 40-hour work week.

• Must be able to work Pacific Standard Time (PST) hours, indicating a need for overlap with West Coast business operations for meetings and collaborative sessions.

📝 Enhancement Note: The remote nature of the role offers flexibility but requires strong self-management and communication skills. The PST hours requirement is a critical factor for candidates outside this time zone, impacting potential work-life balance and synchronous collaboration needs.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a recruiter screen to assess basic qualifications, experience, and alignment with the role's core requirements, especially AI research experience.

• Hiring Manager Interview: Focus on specific UX research methodologies, project experience, handling ambiguity, and understanding of AI-driven products.

• Technical/Portfolio Review: A deep dive into the candidate's portfolio, discussing specific case studies, research processes, impact, and how they approached AI-related research challenges. Expect detailed questions about research design, data analysis, and synthesis.

• Cross-functional Interviews: Discussions with Product Managers, Designers, and Engineers to assess collaboration skills, communication style, and ability to influence product decisions.

• Final Interview: May involve senior leadership to assess cultural fit, strategic thinking, and overall potential contribution to Blueprint's mission.

Portfolio Review Tips:

• Curate Strategically: Highlight 2-3 strong projects that best demonstrate your mixed-methods expertise, AI research experience, and ability to drive impact.

• Showcase Process: Clearly articulate your research process from problem definition to actionable insights and impact. Detail how you designed studies, collected data, analyzed findings, and communicated recommendations.

• Quantify Impact: Wherever possible, quantify the impact of your research on product decisions, user experience improvements, or business outcomes. Use metrics and data to support your claims.

• Highlight AI Expertise: Dedicate a section or specific project to your experience with AI-driven or generative AI products. Explain the unique challenges and methodologies you employed.

• Storytelling: Frame your projects as compelling narratives. Explain the "why" behind the research, the "what" you did, and the "so what" – the actionable outcomes.

Challenge Preparation:

• Be prepared for a potential research exercise or case study, possibly focused on evaluating an AI feature or identifying user needs in a productivity tool context.

• Practice articulating research findings and recommendations clearly and concisely, as if presenting to product stakeholders.

• Anticipate questions about how you would approach research in a fast-paced, ambiguous environment with limited information.

📝 Enhancement Note: The portfolio is paramount. Candidates should prepare to walk through their projects in detail, focusing on the how and why of their research, especially concerning AI. Demonstrating comfort with ambiguity and rapid delivery will be key.

🛠 Tools & Technology Stack

Primary Tools:

• Remote UX Research Platforms: Experience with tools like UserTesting.com, Maze, Lookback, or similar platforms for conducting remote qualitative and quantitative studies.

• Collaboration Tools: Proficiency in tools like Slack, Microsoft Teams, Zoom, or similar for virtual communication and team collaboration.

• Productivity Suites: Familiarity with Microsoft Office Suite (Word, Excel, PowerPoint) or Google Workspace (Docs, Sheets, Slides) for documentation, analysis, and presentation.

Analytics & Reporting:

• Statistical Analysis Software: Experience with tools like SPSS, R, Python (with libraries like Pandas, NumPy), or similar for quantitative data analysis.

• Data Visualization Tools: Familiarity with tools like Tableau, Power BI, or even advanced Excel/Google Sheets for creating charts and dashboards to present findings.

• Survey Platforms: Experience with tools like SurveyMonkey, Qualtrics, or Google Forms for designing and deploying surveys.

CRM & Automation:

• While not a direct CRM role, understanding how UX research integrates with product development cycles and potentially CRM data for user segmentation or feedback loops could be beneficial.

• Familiarity with project management tools like Jira, Asana, Trello for tracking research tasks and progress.

📝 Enhancement Note: The core requirement is proficiency with remote research platforms and strong analytical skills. Experience with AI/ML research tools or platforms, if applicable, would be a significant plus. Familiarity with productivity software ecosystems (spreadsheets, analytics tools) is also explicitly mentioned as preferred.

👥 Team Culture & Values

Operations Values:

• Problem Solving: A core value, as Blueprint thrives on tackling "complicated problems" and bridging strategy with execution.

• Innovation & Agility: Embracing "cutting-edge technology," being "bold, smart, agile, and fun" suggests a culture that values forward-thinking and adaptability.

• Data-Driven Insights: The role demands the ability to "analyze and synthesize insights from diverse qualitative and quantitative data sources" to inform decisions.

• Collaboration & Impact: Emphasis on working "effectively across product, design, engineering" and delivering "high-impact insights at scale."

• Continuous Learning: The company culture supports growth and developing new solutions, encouraging team members to learn and evolve.

Collaboration Style:

• Cross-functional Integration: Close partnership with Product Managers, Designers, and Engineers is essential for research success.

• Remote Collaboration: Requires proactive communication, clear documentation, and effective use of virtual tools.

• Influence & Storytelling: The ability to "influence product and design decisions through strong storytelling and data-driven recommendations" is key.

• Feedback Culture: Implicit in a fast-moving environment is the need for constructive feedback exchange to refine research and product direction.

📝 Enhancement Note: The culture at Blueprint seems to foster a dynamic, collaborative, and results-oriented environment. For a UX Researcher, this means being comfortable with rapid iteration, actively contributing to product strategy, and effectively communicating insights to drive tangible business outcomes, especially in the context of AI innovation.

⚡ Challenges & Growth Opportunities

Challenges:

• Ambiguity & Speed: Working in "rapidly changing, ambiguous environments" requires comfort with incomplete information and the ability to make "clear judgment calls."

• Scaling Research: Managing a "pipeline of UX research to ensure studies are delivered efficiently and at scale" presents a logistical and strategic challenge.

• AI Research Nuances: Researching AI-driven features introduces unique complexities related to user understanding, trust, and interaction patterns with novel technologies.

• Cross-functional Alignment: Ensuring research objectives and insights are effectively communicated and acted upon by diverse stakeholders (Product, Design, Engineering) can be challenging.

Learning & Development Opportunities:

• AI UX Specialization: Develop deep expertise in researching cutting-edge AI and generative AI features, a highly in-demand skill.

• Large-Scale Ecosystems: Gain experience within a "large-scale software ecosystem," understanding the complexities of enterprise product development.

• Methodological Breadth: Enhance skills in mixed-methods research, benchmarking, and competitive analysis within a practical, impact-driven context.

• Product Strategy Influence: Opportunities to directly influence product roadmaps and strategic direction through impactful research insights.

• Professional Growth: Blueprint explicitly offers "opportunities for professional growth and development," including potential for advancement within the company.

📝 Enhancement Note: This role offers significant opportunities to tackle complex, cutting-edge challenges in UX research, particularly within the AI domain. The growth potential is substantial for individuals who can navigate ambiguity and drive impact.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to make critical research decisions with incomplete information. What was your process, and what was the outcome?" (Assesses comfort with ambiguity).

• "How would you approach evaluating the user experience of a new AI-assisted feature in a spreadsheet tool? What methodologies would you prioritize, and why?" (Tests AI research understanding and methodological choice).

Company & Culture Questions:

• "Based on our company description, how do you see your UX research skills contributing to Blueprint's mission of transforming companies through technology?" (Assesses understanding of Blueprint's business and role alignment).

• "How do you typically collaborate with product managers, designers, and engineers? Describe your ideal cross-functional working relationship." (Gauges collaboration style and fit with team dynamics).

Portfolio Presentation Strategy:

• Select AI/LLM Project: Prioritize a project that showcases your experience with AI-driven features. Detail the user needs, research questions, methods, key findings, and the impact.

• Demonstrate Mixed-Methods: Clearly articulate how you combined qualitative and quantitative techniques to provide a comprehensive understanding.

• Quantify Results: Use data points, metrics, or specific examples to illustrate the impact of your research on the product or user experience.

• Highlight Process: Be ready to explain your research process step-by-step, including how you handled challenges, synthesized data, and communicated findings.

• Conciseness & Clarity: Present your work clearly and concisely, focusing on the most impactful aspects and tailoring your narrative to the specific requirements of this role.

📝 Enhancement Note: Interview preparation should heavily focus on the AI research aspect and the ability to work quickly and effectively in an ambiguous environment. Demonstrating clear communication and a data-driven approach to influencing product decisions will be crucial.

📌 Application Steps

To apply for this UX Researcher position:

• Submit your application through the provided Greenhouse link.

• Tailor Your Resume: Highlight experience with mixed-methods UX research, AI/generative AI products, competitive analysis, and project management. Use keywords from the job description such as "AI-assisted experiences," "large-scale software ecosystem," and "mixed-methods research."

• Curate Your Portfolio: Select 2-3 impactful projects that best showcase your skills, especially those involving AI research, data synthesis, and driving product decisions. Ensure your portfolio clearly details your process and the outcomes.

• Prepare for Case Study/Portfolio Review: Be ready to discuss your portfolio projects in detail, focusing on your methodology, insights, and the impact of your work. Practice articulating research findings and recommendations concisely.

• Research Blueprint Technologies: Understand the company's mission, industry focus, and culture. Prepare to articulate how your skills and experience align with their values and goals, particularly their use of technology to transform businesses.

⚠️ 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.