UX Researcher – AI Enablement

Pay range: $75,400.00 - $135,700.00. Pay is based on several factors including labor markets, education, work experience, and certifications.

Benefits

Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include:

• Medical, vision, and dental insurance
• Life insurance
• 401(k) retirement plan
• Employee discount
• Short-term and long-term disability
• Paid sick leave
• Paid national holidays
• Paid vacation

Additional benefits include financial, education, and well-being programs. Learn more at Target Benefits.

About the role

As a UX Researcher - AI Enablement, you will contribute research that helps Target understand and improve AI-enabled and agentic experiences for technical and product practitioners and other enterprise team members. This individual-contributor role focuses on scoped projects with immediate impact at the project and team level. You will work with Lead and Director-level researchers, applying established qualitative and quantitative methods to well-defined questions and contributing to larger programs and pilots.

This is a Hybrid/Flex for Your Day work arrangement, meaning the role requires onsite work at Target HQ in Minnesota and virtual work, depending on team and task requirements.

Responsibilities

• Apply established qualitative and quantitative methods to well-defined questions about AI-enabled products, tools, and workflows.
• Contribute to research plans, protocols, recruitment, fieldwork, and study logistics with guidance from senior researchers.
• Conduct straightforward interviews, usability tests, concept evaluations, and other assigned studies using standard practices.
• Support surveys, UX metrics, pilots, benchmarks, and longitudinal research through data collection, quality checks, and basic analysis.
• Participate in analysis and synthesis, organize evidence, and communicate clear findings to project partners.
• Collaborate with cross-functional partners on research methods, measures, and decisions that affect the immediate work.
• Contribute evidence to personas, journey maps, service blueprints, and shared research knowledge.
• Help test and document responsible AI-enabled research workflows while meeting project goals, constraints, timelines, and quality standards.

Requirements

• 2+ years of relevant UX, product, academic, or applied research experience, or equivalent demonstrated skills.
• Working knowledge of qualitative and quantitative research methods and when to use them.
• Experience conducting straightforward interviews, usability tests, or similar studies with guidance.
• Ability to organize qualitative data and perform basic analysis of simple quantitative data.
• Clear communication and collaboration skills with peers and cross-functional partners.
• Ability to work independently on well-defined problems, manage assigned work, and meet project deadlines.
• Curiosity about AI/ML and willingness to build technical literacy; prior AI experience is helpful but not required.
• Commitment to inclusive research, accessibility, participant privacy, ethics, and high-quality craft.