Senior UX Researcher

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📋 Description

• Define research strategies for complex, ambiguous product and customer problems.
• Partner with Product and Design to identify learning needs before teams commit to a direction.
• Frame research questions, hypotheses, participant profiles, methods, timelines, and decision criteria.
• Select and combine qualitative and quantitative methods, including interviews, contextual inquiry, workflow observation, ethnographic research, concept testing, usability testing, surveys, product behavior data, and competitive research.
• Recruit and engage diverse participants, including customers, prospects, operators, engineers, managers, executives, account executives, and internal subject-matter experts.
• Conduct remote and in-person research sessions with customers and users in industrial and technical environments.
• Synthesize evidence to identify patterns, unmet needs, root causes, opportunities, and tradeoffs.
• Produce research readouts explaining findings, implications, and recommended decisions.
• Embed research throughout product discovery and the product development lifecycle.
• Influence product strategy, roadmaps, prioritization, terminology, information architecture, workflow design, and release readiness.
• Translate customer evidence into problem statements, requirements, acceptance criteria, and testable hypotheses.
• Validate concepts, low-fidelity ideas, prototypes, and evolving product experiences.
• Continue post-launch learning through usability feedback, customer conversations, product behavior, and other signals.
• Balance user needs with business goals, technical constraints, timelines, accessibility, security, permissions, and enterprise-software realities.
• Develop understanding of how users analyze data, monitor assets and processes, investigate problems, create and share findings, and collaborate.
• Research workflows spanning multiple personas, roles, systems, and expertise levels.
• Apply human-centered research to data-heavy, analytics, automation, and AI-enabled experiences.
• Evaluate AI-powered experiences for trustworthiness, usefulness, explainability, controllability, and contextual appropriateness.
• Establish standards for research planning, recruiting, moderation, synthesis, documentation, and communication.
• Maintain an organized body of customer evidence for product decisions.
• Improve research-capacity prioritization across product areas and customer needs.
• Mentor researchers and help cross-functional teams build sound research habits.
• Share methods, findings, patterns, and customer insights to create alignment and momentum.
• Identify responsible opportunities for tools and automation while preserving human judgment and research quality.
• Contribute to a collaborative UX culture through critique, coaching, thoughtful disagreement, and continuous improvement.

🎯 Requirements

• Six or more years of professional experience in UX research, user research, human factors, or a related discipline, or equivalent depth of experience.
• Demonstrated experience leading research for complex products, workflows, or services with significant ambiguity.
• Strong qualitative research skills, including interviewing, contextual inquiry, usability testing, concept testing, moderation, and synthesis.
• Ability to use quantitative research, product behavior data, surveys, and analytics.
• Experience partnering with Product, Design, and Engineering from discovery through delivery and post-launch learning.
• Experience influencing product strategy, roadmap decisions, or prioritization through research and customer evidence.
• Strong communication skills for making complex findings clear, concise, compelling, and actionable.
• Judgment regarding research quality, participant ethics, confidentiality, accessibility, and appropriate use of customer information.
• Experience mentoring others, improving team practices, or creating leverage beyond individual studies.
• Ability to work independently, manage multiple priorities, and create structure in ambiguous situations.
• Helpful experience in B2B, SaaS, enterprise software, industrial technology, manufacturing, energy, chemicals, life sciences, or technically complex domains.
• Helpful experience with data analytics, process analytics, dashboards, visualization, monitoring, or data-heavy products.
• Helpful experience researching multi-user workflows, role-based experiences, permissions, governance, or cross-team collaboration.
• Helpful experience researching AI or machine-learning-enabled products.
• Helpful experience with mixed methods, experimentation, longitudinal research, or product analytics.
• Helpful experience establishing research repositories, participant programs, or customer advisory practices.
• Formal education in psychology, cognitive science, human-computer interaction, human factors, sociology, anthropology, or a related field is helpful; equivalent practical experience is welcome.
• Must be authorized to work in the country in which you reside.
• [REDACTED] does not sponsor US F1 or H-1B work visas.

🏖️ Benefits

• 12-week paid [REDACTED] family leave
• Unlimited PTO
• Internet and mobile phone reimbursements
• Medical benefits
• Group term life insurance
• Short-term and long-term disability insurance pre-tax benefits
• Voluntary vision and dental (ortho)
• Vacation bonus program
• Employee Assistance Program
• Generous home office allowance
• Remote-first (only) work environment
• Bonus incentives

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