Senior UX Content Designer, Agentic / AI

📍 Job Overview

Job Title: Senior UX Content Designer, Agentic / AI

Company: Target

Location: 1000 Nicollet Mall, Minneapolis, MN 55403-2542, United States

Job Type: Full-Time

Category: UX Design / Content Strategy (with AI focus)

Date Posted: May 15, 2026

Experience Level: 4+ Years (Mid-Senior Level)

Remote Status: On-site

🚀 Role Summary

• Design and define content strategies for cutting-edge agentic and AI-powered shopping experiences, focusing on conversational design and prompt engineering.

• Develop scalable content frameworks, systems, and guidelines that ensure clarity, helpfulness, and brand voice across AI-driven user journeys.

• Collaborate extensively with cross-functional teams including Product Design, Product Management, Engineering, Data Science, and Research to shape AI feature behavior and language.

• Contribute to establishing best practices and governance for AI and conversational content design within a large retail organization, driving consistency and quality.

📝 Enhancement Note: This role is highly specialized, focusing on the intersection of UX Content Design with emerging AI and agentic technologies in a retail context. The emphasis on "systems thinking over process" and "flexible systems that evolve with new AI capabilities" highlights a strategic, forward-looking approach to content. This is not a traditional UX writing role; it requires a deep understanding of AI's capabilities and limitations in shaping user experiences.

📈 Primary Responsibilities

• Develop innovative content design approaches for AI-assisted and agentic shopping experiences across various digital touchpoints, including conversational flows, discovery, personalization, and checkout.

• Explore and document best practices for creating clear, helpful, and human-centric content that balances guest needs, business objectives, and Target's brand voice within AI systems.

• Create essential content artifacts such as playbooks, content models, system instructions, prompting strategies, and conversational guidelines tailored for agentic AI applications.

• Apply and champion scalable frameworks and reusable guidance to help teams build coherent, high-quality agentic experiences across diverse shopping contexts and digital surfaces.

• Partner closely with Product Design, Product Management, Engineering, Data Science, Research, and Accessibility teams to influence the behavior and language of AI-powered features from conception through launch and iterative improvement.

• Translate complex user needs, ambiguous product requirements, and emerging AI technologies into clear interaction models and actionable content strategies.

• Leverage guest insights, qualitative research, experimentation, and performance data to inform and refine content strategy within the broader AI ecosystem.

• Contribute to the establishment of standards, principles, and best practices for AI and conversational content design at Target, enhancing quality and consistency across product teams.

• Actively participate in critiques, workshops, and cross-functional working sessions, fostering the growth of the content design practice through influence, craft, and systems thinking.

• Champion a human-centered practice within UX, product, and engineering teams, with a specific focus on belonging, accessibility, and authenticity for all Target guests interacting with AI.

📝 Enhancement Note: The responsibilities emphasize proactive development and exploration of new AI content design paradigms. The role requires not just execution but also thought leadership in defining how Target approaches agentic and AI-driven content, including establishing governance and educating other teams.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's degree in a relevant field such as English, Communications, Human-Computer Interaction, Linguistics, or a related discipline is typically expected for a Senior role in this area.

Experience: 4+ years of experience in content design, UX writing, conversation design, or a closely related field, with a proven track record of designing digital product experiences.

Required Skills:

• Demonstrated understanding of conversational design principles and AI/agentic-powered content design, including prompt engineering, context engineering, systems governance, output grading, and modeling.

• Experience designing content for complex product areas and multi-step user journeys where language is critical for user understanding, decision-making, and action.

• Proven ability to think in systems, developing scalable frameworks, content strategies, and principles that enhance content quality across products and teams.

• Strong portfolio showcasing systems thinking, content strategy, and UX craft across end-to-end digital experiences.

• Excellent problem-solving skills with a demonstrated comfort in navigating emerging technologies, ambiguity, and rapid iteration cycles.

• Experience effectively partnering with and articulating content strategy to cross-functional stakeholders, including designers, researchers, engineers, product managers, and data scientists throughout the product lifecycle.

Preferred Skills:

• Experience in the retail industry or with e-commerce platforms.

• Familiarity with large language models (LLMs) and their application in user interfaces.

• Experience with A/B testing content variations and analyzing performance data to drive optimization.

• Knowledge of accessibility standards (WCAG) and how they apply to AI-generated content.

📝 Enhancement Note: The explicit mention of "4+ years" and the specific AI tool familiarity point towards a requirement for experienced professionals who can hit the ground running. The portfolio requirement is critical, emphasizing "systems thinking" and "UX craft," suggesting a need to see how candidates approach complex problems holistically, not just in terms of individual copy.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrations of "systems thinking": showcase how you’ve designed content that functions as part of a larger, interconnected system, rather than isolated pieces. This could include content models, style guides for AI, or frameworks for consistent AI output.

• Evidence of strong "content strategy": present examples where you’ve defined the purpose, audience, and key messages for content, and how it aligns with business and user goals, especially in the context of AI interactions.

• Showcase "UX craft": illustrate your ability to create clear, concise, and helpful language that guides users through complex digital experiences, particularly those involving AI or conversational interfaces.

• Case studies highlighting experience building or contributing to scalable frameworks, principles, or standards that have improved content quality across multiple products or teams.

Process Documentation:

• Examples of how you’ve documented processes for creating and managing AI-generated content, including prompt engineering guidelines, output review workflows, and governance models.

• Evidence of creating content artifacts such as playbooks, content models, system instructions, and conversational guidelines.

• Documentation of how you’ve used user insights, research, and data to inform and iterate on content strategies for AI features.

📝 Enhancement Note: The portfolio requirements are highly specific to the AI and systems-thinking nature of the role. Candidates must be prepared to demonstrate not just writing samples, but strategic approaches to content as a system, particularly within the evolving landscape of AI. This requires showcasing an understanding of how content interacts with AI models and influences their output.

💵 Compensation & Benefits

Salary Range: $88,000 - $158,000 per year.

Benefits:

• Comprehensive health benefits and programs for eligible team members and their dependents, including:

  • Medical Insurance
  • Vision Insurance
  • Dental Insurance
  • Life Insurance

• Financial & Educational Benefits:

  • 401(k) plan
  • Employee Discount

• Wellness & Support:

  • Short Term Disability
  • Long Term Disability

• Paid Time Off:

  • Paid Sick Leave

  • Paid National Holidays

  • Paid Vacation Working Hours: The role is listed as Full-Time, implying approximately 40 hours per week. While specific flexibility isn't detailed, the nature of UX design and AI development often involves collaborative sprints and iterative work, suggesting a dynamic schedule within standard business hours.

📝 Enhancement Note: The salary range provided is a broad band typical for a Senior UX Content Designer role, especially in a major metropolitan area like Minneapolis. The range accounts for varying levels of experience within the "4+ years" requirement and the specialized nature of AI/agentic design. The benefits package is extensive, as expected from a large, established retail corporation like Target.

🎯 Team & Company Context

🏢 Company Culture

Industry: Retail (E-commerce and Brick-and-Mortar)

Company Size: Target is a Fortune 50 company, employing hundreds of thousands of individuals globally. This large scale means established processes, significant resources, and a broad impact.

Founded: 1902. With over a century of history, Target has a deep-rooted brand identity and a long-standing commitment to its guests and team members.

Team Structure:

• The Global UX team is a multidisciplinary group comprising design, content, research, and accessibility practitioners.

• This specific role is within the UX team, focusing on agentic and AI shopping experiences, indicating a dedicated unit exploring cutting-edge technologies.

Methodology:

• The role emphasizes "Thinking with systems over process," indicating a preference for holistic, interconnected solutions rather than rigid, linear workflows.

• A strong focus on human-centered design, belonging, accessibility, and authenticity is core to Target's UX philosophy.

• The work involves translating complex needs and emerging technologies into tangible solutions, suggesting an agile and iterative approach to product development.

• Data-driven decision-making is implied through the use of guest insights, qualitative research, experimentation, and performance data.

Company Website: https://corporate.target.com/

📝 Enhancement Note: Target's established presence in retail, combined with its investment in cutting-edge AI for UX, presents a unique environment. The "systems thinking" methodology suggests a mature design practice that looks beyond individual features to the entire user ecosystem. The emphasis on collaboration across diverse disciplines is crucial for success in this role.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior-level UX Content Designer role, indicating significant autonomy, strategic input, and responsibility for complex projects and potentially mentoring junior team members. The focus on emerging technologies like AI and agentic systems suggests a role at the forefront of innovation within Target's UX practice.

Reporting Structure: While not explicitly stated, Senior UX roles typically report to a UX Manager, Director of UX, or Head of Content Design. The role involves close collaboration with Product Managers and Engineering leads, suggesting matrixed reporting or strong cross-functional leadership influence.

Operations Impact: The role has a direct impact on how millions of Target guests discover, engage with, and shop using AI-powered features. By shaping the language and conversational flows, this designer will influence user satisfaction, task completion rates, conversion, and overall brand perception in a critical new area of retail technology.

Growth Opportunities:

• Specialization: Deepen expertise in AI content design, conversational AI, prompt engineering, and agentic systems, becoming a subject matter expert within Target.

• Leadership: Transition into a Lead Content Designer role, managing projects and potentially a small team, or influencing broader content strategy across multiple AI initiatives.

• Skill Development: Gain exposure to advanced AI technologies, large language models (LLMs), and cross-functional leadership, enhancing marketability in the rapidly growing AI UX field.

• Practice Building: Play a key role in defining and evolving Target's practices for AI content design, contributing to the growth and sophistication of the UX discipline.

📝 Enhancement Note: This role offers significant growth potential due to its focus on AI, a high-demand and evolving field. The "Senior" title implies a path toward leadership or deep specialization, with opportunities to shape how a major retailer adopts and leverages AI in customer-facing experiences.

🌐 Work Environment

Office Type: The role is designated as "On-site," requiring the employee to work from Target's headquarters at 1000 Nicollet Mall in Minneapolis, MN. This implies a traditional office environment.

Office Location(s): The primary location for this role is Target Plaza South, 1000 Nicollet Mall, Minneapolis, MN 55403-2542, which is the company's corporate headquarters.

Workspace Context:

• Collaborative Environment: The Minneapolis HQ is designed to foster collaboration, with spaces for team meetings, workshops, and informal interactions. Proximity to other UX designers, product managers, engineers, and researchers will facilitate cross-functional work.

• Tools and Technology: As a Senior UX Content Designer working with AI, expect access to standard design software (e.g., Figma), collaboration tools (e.g., Slack, Jira), and potentially specialized AI prototyping and development platforms.

• Team Interaction: Being on-site allows for direct, in-person collaboration, crucial for complex problem-solving, brainstorming, and building strong working relationships with diverse teams.

Work Schedule: The role is full-time, generally implying a 40-hour work week. While specific flexibility is not detailed, on-site roles typically adhere to standard business hours, with potential for occasional extended hours during critical project phases.

📝 Enhancement Note: The on-site requirement suggests a preference for in-person collaboration, which can be beneficial for complex, emerging technology projects. The Minneapolis HQ is a hub for innovation, providing access to resources and a concentrated talent pool.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a recruiter screen to assess basic qualifications, experience, and interest in the role.

• Hiring Manager Interview: Discussion with the hiring manager to delve deeper into experience, approach to AI/agentic design, and fit with the team.

• Portfolio Review & Design Challenge: This is a critical stage. Candidates will present their portfolio, focusing on systems thinking and AI-specific projects. A design challenge, potentially involving defining content for an AI feature or outlining a prompt strategy, may be assigned.

• Cross-functional Interviews: Interviews with key stakeholders such as Product Designers, Product Managers, Engineers, or Researchers to assess collaboration skills and understanding of the product development lifecycle.

• Final Interview: Potentially with a Director or VP level leader to discuss strategic vision and overall fit.

Portfolio Review Tips:

• Highlight AI/Agentic Work: Prioritize projects that demonstrate your understanding and application of AI, conversational design, prompt engineering, and systems thinking. If direct AI experience is limited, showcase transferable skills in complex system design or highly structured content.

• Showcase Systems Thinking: Clearly articulate how your content design functions as part of a larger system, how it scales, and how it interacts with other components. Use diagrams or models to illustrate this.

• Quantify Impact: Where possible, demonstrate the impact of your content solutions with data (e.g., improved task completion, reduced error rates, increased engagement).

• Explain Your Process: Be prepared to walk through your design process, from understanding requirements to research, ideation, execution, and iteration, especially as it relates to AI.

• Address Ambiguity: For this role, be ready to discuss how you approach ambiguous problems and evolving technologies.

Challenge Preparation:

• Familiarize Yourself with AI Concepts: Review core concepts of LLMs, prompt engineering, conversational AI, and agentic systems. Understand their capabilities and limitations.

• Practice Articulating Content Strategy: Prepare to explain your content strategy for hypothetical AI features, considering user needs, brand voice, and technical constraints.

• Think Systemically: When presented with a challenge, consider how your content solution fits into a broader user journey and system architecture.

• Prepare Questions: Have thoughtful questions ready about Target's AI strategy, the team's current challenges, and the future direction of agentic experiences.

📝 Enhancement Note: The emphasis on "systems thinking" and "AI/agentic design" in the portfolio and interview process means candidates must go beyond traditional UX writing examples. They need to demonstrate a strategic, architectural approach to content within the context of artificial intelligence.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (including Figma Make for AI prototyping), Adobe Creative Suite (less emphasis, but common).

• AI Prototyping Tools: Custom GPTs, Codex, Claude Code, and potentially other emerging AI model interfaces.

• Collaboration & Project Management: Jira, Confluence, Slack, Microsoft Teams.

• Content Management Systems (CMS): Familiarity with CMS principles, though specific Target systems are internal.

Analytics & Reporting:

• Experience with analytics platforms (e.g., Google Analytics, Adobe Analytics) to understand user behavior and content performance.

CRM & Automation:

• While not a direct CRM role, understanding how content interacts with customer data and personalization engines within a CRM context is beneficial.

• Familiarity with automation principles in content delivery and user journeys.

📝 Enhancement Note: The specific mention of Figma Make, Custom GPTs, Codex, and Claude Code indicates a hands-on requirement for prototyping AI-driven interfaces. Candidates should be comfortable experimenting with these tools.

👥 Team Culture & Values

Operations Values:

• Human-Centered: A core value is designing for all Target guests, focusing on belonging, accessibility, and authenticity. This means ensuring AI interactions are inclusive and respectful.

• Systems Thinking: Valuing interconnectedness and holistic solutions over isolated features. Content must be designed as part of a larger, cohesive experience.

• Data-Driven: Using insights from guest research, experimentation, and performance data to inform design decisions and content strategy.

• Innovation & Adaptability: Embracing emerging technologies like AI and being comfortable navigating ambiguity and rapid iteration.

• Collaboration & Influence: Working effectively across diverse teams and influencing stakeholders to achieve shared goals.

Collaboration Style:

• Cross-functional Integration: The role requires deep collaboration with product designers, product managers, engineers, researchers, data scientists, and AI specialists. A proactive, communicative approach is essential.

• Process Review & Feedback: Expect a culture of critiques and collaborative working sessions where feedback is exchanged to refine designs and content strategies.

• Knowledge Sharing: A desire to share learnings about AI content design and help establish best practices across the organization is valued.

📝 Enhancement Note: Target's emphasis on "belonging, accessibility, and authenticity" is critical for AI design, ensuring that AI-driven experiences do not inadvertently create barriers or alienate users. The collaborative style is key to navigating the complex, multidisciplinary nature of AI product development.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating AI Ambiguity: Working with rapidly evolving AI capabilities and defining content strategies for features that may not yet be fully realized.

• Balancing Human & AI Elements: Ensuring AI-generated content feels helpful and on-brand while maintaining a human touch and avoiding robotic or impersonal interactions.

• Scalability & Governance: Developing content systems and guidelines that can scale across a large organization and diverse product surfaces, while also establishing robust governance for AI output.

• Ethical AI Considerations: Addressing potential biases, ensuring fairness, and maintaining transparency in AI-driven content interactions.

Learning & Development Opportunities:

• AI Specialization: Become a leader in AI content design, conversational AI, and agentic UX within a major retail company.

• Cross-Disciplinary Learning: Gain deep insights into product management, engineering, data science, and research methodologies through close collaboration.

• Industry Trends: Stay at the forefront of AI and UX innovation, potentially attending conferences or participating in industry forums.

• Mentorship: Opportunities to mentor junior designers and contribute to the growth of the UX practice at Target.

📝 Enhancement Note: The challenges are inherent to working with cutting-edge AI. The growth opportunities are significant, positioning the candidate as a key player in Target's digital transformation and AI adoption.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing the content for an AI-powered personal shopping assistant for Target.com? What are the key considerations for conversational design, prompt engineering, and brand voice?"

  • Preparation: Focus on systems thinking, user journey mapping, defining persona-driven interactions, and outlining a prompt strategy that incorporates Target's brand.

• "Describe a time you had to build or contribute to a scalable content framework or set of standards. How did you ensure adoption and maintain quality across different products or teams, especially with evolving technology?"

  • Preparation: Use a STAR method approach, highlighting your portfolio examples of scalable systems. Emphasize your process for documentation, communication, and iteration.

• "How do you balance the need for clear, helpful, and human-centric content with the capabilities and potential limitations of AI-generated output?"

Company & Culture Questions:

• "What interests you about Target's approach to UX and AI, and how do you see your skills contributing to our mission of helping families discover the joy of everyday life?"

  • Preparation: Research Target's values, recent AI initiatives (if public), and their retail strategy. Connect your passion for human-centered design and AI to their goals.

• "How do you approach collaboration with engineers, product managers, and data scientists on complex, technology-driven projects?"

  • Preparation: Provide examples of successful cross-functional partnerships, emphasizing your communication style, ability to translate technical concepts, and collaborative problem-solving.

• "How do you ensure inclusivity, accessibility, and authenticity in the digital experiences you design, particularly when working with AI?"

Portfolio Presentation Strategy:

• Structure for AI/Systems: Organize your portfolio around key projects that demonstrate your AI/agentic design thinking and systems approach. Use case study formats that clearly outline the problem, your process, the AI/systemic solution, and the impact.

• Demo Tools: If possible, show interactive prototypes or examples of your work created with tools like Figma Make, Custom GPTs, or Claude Code.

• Articulate Strategy: For each project, clearly explain the strategic decisions behind your content choices, focusing on why a particular approach was taken for the AI or system.

• Showcase Learning: Be prepared to discuss what you learned from each project, especially regarding AI, system design, and collaboration.

📝 Enhancement Note: The interview preparation should focus heavily on demonstrating strategic thinking, systems design, and a deep understanding of AI's role in user experience, rather than just strong writing skills. Candidates must be ready to discuss their process for tackling ambiguity and contributing to the evolution of AI content practices.

📌 Application Steps

To apply for this Senior UX Content Designer position:

• Submit your application through the provided Workday link on Target Careers.

• Tailor Your Resume: Highlight experience with AI, agentic design, conversational design, prompt engineering, systems thinking, and cross-functional collaboration. Use keywords from the job description.

• Curate Your Portfolio: Select your strongest projects that showcase systems thinking and AI/agentic design expertise. Prepare to present these clearly, focusing on your process, strategic decisions, and impact. Ensure it includes examples of scalable frameworks or content models.

• Prepare for the Design Challenge: Familiarize yourself with AI concepts and practice articulating content strategies for AI-driven features.

• Research Target: Understand Target's mission, values, brand voice, and their strategic direction in digital transformation and AI. Prepare thoughtful questions for the interviewers.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions. The specific AI tools mentioned are critical indicators of the expected technical proficiency.