Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer

Company: Wells Fargo & Company

Location: New York, NY / Charlotte, NC

Job Type: FULL_TIME

Category: Product Design / User Experience (UX) / Generative AI

Date Posted: 2026-05-11

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

• Design and deliver cutting-edge conversational customer experience solutions leveraging Generative AI for Wells Fargo's AI-powered virtual assistant, "Fargo."

• Blend advanced UX/UI design techniques with AI tools (e.g., Figma, CoPilot) to accelerate ideation, execution, and enhance the quality of design output.

• Actively partner with Product and Technology teams to define, prototype, specify, and test GenAI experiences from concept through to successful launch.

• Curate and refine source content for Large Language Model (LLM) grounding, ensuring accuracy, style, and adherence to brand guidelines.

📝 Enhancement Note: This role is highly specialized, focusing on the intersection of Product Design and Generative AI. The emphasis on "Fargo," the AI-powered virtual assistant, and the specific mention of AI tools and prompt creation indicate a forward-thinking design function within a traditional financial institution. Candidates should highlight experience with AI-driven design processes and demonstrable impact on customer-facing AI products.

📈 Primary Responsibilities

• Design and iterate on customer experience solutions for generative AI applications, focusing on conversational interfaces and intuitive user journeys.

• Collaborate closely with Product Managers and Engineering teams to translate complex requirements into elegant, user-centered design solutions.

• Utilize a range of design techniques including customer journey mapping, utterance analysis, wireframing, visual comps, prompt engineering, content curation, prototyping, and usability testing.

• Develop and refine prompts for AI models, ensuring they align with desired user interactions, brand voice, and business objectives.

• Curate, edit, and approve source content for LLM grounding, maintaining accuracy and stylistic consistency.

• Analyze high-profile or complex projects, conduct research, and test theories to develop robust design alternatives.

• Independently manage design tasks, set milestones, track progress, resolve issues, and ensure timely delivery of design outputs.

• Contribute to and leverage design systems, Confluence resources, and other organizational guidelines to promote a unified design approach.

• Balance business objectives, user needs, and technical constraints, with a clear focus on delivering value, Return on Investment (ROI), and mitigating risk.

📝 Enhancement Note: The responsibilities highlight a blend of traditional UX/UI design practices with emerging AI-specific tasks like prompt engineering and LLM grounding. The emphasis on ROI and risk management suggests a need for designers who can connect design decisions to business outcomes within a regulated industry.

🎓 Skills & Qualifications

Education:

Experience:

• 4+ years of demonstrated experience in online and digital product design, information sciences, graphic design, or visual arts.

Required Skills:

• Hands-on experience designing UX and UI using Figma.

• Practical application of AI prompts or AI-assisted design in production environments, demonstrating consideration for accuracy, quality, and risk.

• Strong understanding of user-centered design principles and methodologies.

• Proficiency in creating wireframes, visual comps, and interactive prototypes.

• Experience with customer journey mapping and user flow design.

• Excellent communication and storytelling skills, with the ability to articulate design rationale to stakeholders.

Preferred Skills:

• Strong visual design skills with a proven ability to solve complex problems creatively and deliver delightful user experiences.

• Understanding of AI technologies, their vocabulary, opportunities, and limitations to facilitate cross-functional partnerships and informed design decisions.

• Curiosity and a proactive approach to learning and adapting to new AI capabilities and design trends.

• Experience with conversational AI design principles and best practices.

• Familiarity with prompt engineering frameworks and techniques.

• Experience curating or editing content for AI model training or grounding.

• Knowledge of design systems and their implementation.

📝 Enhancement Note: The requirement for "real products" and "not one-off demos or class projects" for AI experience is a critical differentiator. Candidates should be prepared to showcase tangible contributions to AI-powered features or products.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 4 years of professional UX/UI design work, with a strong emphasis on digital products.

• Include at least one significant project demonstrating experience with Generative AI, prompt engineering, or AI-assisted design in a production setting.

• Highlight projects that clearly articulate the problem, your design process, the solutions you delivered, and the measurable impact (e.g., user engagement, efficiency gains, risk reduction).

• For AI-related projects, detail your approach to prompt creation, content curation for LLM grounding, and how you addressed accuracy, quality, and risk considerations.

Process Documentation:

• Clearly document your design process for each case study, detailing user research, ideation, wireframing, prototyping, user testing, and iteration phases.

• For AI projects, specifically outline the steps involved in prompt design, content gathering, model interaction, and refinement based on performance.

• Illustrate how you collaborated with product managers, engineers, and other stakeholders throughout the design lifecycle.

• Provide evidence of how you incorporated user feedback and data to inform design decisions and improve outcomes.

📝 Enhancement Note: The portfolio is paramount for this role, especially the requirement to demonstrate practical AI experience. Candidates should prepare to walk through their process for AI-driven design, emphasizing iterative refinement and risk mitigation.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Comprehensive health benefits package.

• 401(k) retirement savings plan.

• Generous paid time off (PTO).

• Disability benefits.

• Life insurance, critical illness insurance, and accident insurance.

• Parental leave.

• Critical caregiving leave.

• Employee discounts and savings programs.

• Commuter benefits.

• Tuition reimbursement for continued education.

• Scholarships available for dependent children.

Working Hours:

• Standard full-time work week, likely 40 hours per week, with potential for occasional overtime depending on project demands. The role is on-site, suggesting a structured work schedule within office hours.

📝 Enhancement Note: The salary range is competitive for a Senior Product Designer role in major metropolitan areas like New York and Charlotte, especially given the specialized AI focus. The extensive benefits package reflects Wells Fargo's commitment to employee well-being. The "on-site" designation is critical for candidates considering location.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services (Banking)

Company Size: Large Enterprise (Wells Fargo is one of the largest banks in the US, employing tens of thousands globally). This means established processes, significant resources, and a structured environment.

Founded: 1852, providing a long history and deep-rooted presence in the financial sector.

Team Structure:

• This role sits within the "Fargo" initiative, likely a dedicated AI/digital innovation team.

• Expect to work within cross-functional Agile teams comprising Product Managers, AI Engineers, Data Scientists, UX Researchers, and other Designers.

Methodology:

• The team embraces an "empowered expert" model, valuing strong design rationale, radical candor, and a collaborative, fun atmosphere.

• A customer-first approach is central, with an obsession for creating delightful experiences.

• Design processes are user-centered and data-informed, integrating AI tools to enhance efficiency and output quality.

• Emphasis is placed on balancing business, user, and technical requirements, with a keen eye on ROI and risk.

Company Website: https://www.wellsfargo.com/

📝 Enhancement Note: Working for a large, established financial institution like Wells Fargo comes with both advantages (stability, resources, large customer base) and challenges (navigating corporate structures, regulatory compliance). The "Fargo" initiative suggests an effort to innovate and adopt new technologies within this framework. The culture description emphasizes a modern, agile approach to design within a traditional setting.

📈 Career & Growth Analysis

Operations Career Level: Senior Product Designer. This level implies significant autonomy, ownership of complex projects, and the ability to mentor junior designers. It requires a deep understanding of design principles, user needs, and business objectives, with a specialized focus on AI-driven product development.

Reporting Structure: Likely reports to a Design Manager or Director within the digital/AI product organization. Works closely with Product Managers and Engineering Leads on specific feature development.

Operations Impact: The designer's work directly influences customer engagement with Wells Fargo's digital channels, particularly through the AI assistant. By creating intuitive and valuable AI-powered experiences, this role contributes to customer satisfaction, operational efficiency (through self-service), and potentially drives new revenue streams or customer acquisition. The focus on ROI underscores the expectation that design decisions will have tangible business benefits.

Growth Opportunities:

• Skill Specialization: Deepen expertise in Generative AI design, prompt engineering, conversational AI, and AI ethics.

• Leadership: Opportunity to lead design initiatives for AI products, mentor junior designers, and contribute to the evolution of the design system and best practices.

• Cross-functional Exposure: Gain deeper understanding of financial services, AI technology stack, and product development lifecycles within a large enterprise.

• Advancement: Potential to move into Lead Product Designer, Design Manager, or specialized AI Design roles.

📝 Enhancement Note: The role is positioned for significant impact, allowing a Senior Designer to shape the future of AI-driven customer interactions at a major financial institution. Growth opportunities are tied to both design expertise and leadership within the emerging AI product space.

🌐 Work Environment

Office Type: On-site. This role requires regular presence in one of Wells Fargo's primary office locations.

Office Location(s):

• 150 E 42nd St, New York, NY 10017

Workspace Context:

• Expect a collaborative office environment typical of large corporate settings, with designated workspaces and meeting areas.

• Access to industry-standard design tools and technology will be provided.

• Opportunities for in-person collaboration with product teams, engineers, and fellow designers are integral to the role.

• The New York and Charlotte offices are situated in major business districts, offering accessibility and proximity to various amenities.

Work Schedule: A standard 40-hour work week is expected, with flexibility potentially available within office hours. Given the on-site nature, adherence to a typical corporate schedule will be necessary.

📝 Enhancement Note: The on-site requirement is a key factor. Candidates must be willing and able to work from either the New York or Charlotte office. This setting facilitates direct collaboration, which is often crucial for complex product development and AI initiatives.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or Recruiter call to assess basic qualifications, interest, and cultural fit.

• Portfolio Review & Interview: A deep dive into your portfolio, focusing on specific projects, design process, and problem-solving skills. This stage will likely include behavioral questions and discussions about your experience with AI and Figma.

• Design Challenge/Case Study: You may be asked to complete a design exercise or present a detailed case study (either from your portfolio or a new prompt) showcasing your approach to a specific problem, especially related to AI-driven experiences.

• Team/Hiring Manager Interviews: Meetings with potential team members and the hiring manager to assess technical skills, collaborative abilities, design rationale, and alignment with team culture.

• Final Round: Potentially includes senior leadership or cross-functional partners to ensure strategic alignment.

Portfolio Review Tips:

• Highlight AI Experience Prominently: Dedicate specific sections or case studies to your work with Generative AI, prompt engineering, or AI-assisted design. Clearly articulate the problem, your approach, the tools used (especially Figma), your specific contributions, and the outcomes.

• Showcase Process Rigor: For each project, detail your end-to-end design process. Use visuals (wireframes, mockups, user flows) to illustrate your thinking. Explain why you made certain decisions.

• Quantify Impact: Whenever possible, include metrics and data to demonstrate the impact of your designs. For AI projects, this could include user satisfaction scores, task completion rates, efficiency gains, or reductions in support queries.

• Tell a Story: Structure your portfolio presentations as compelling narratives. Connect your work to user needs and business goals.

• Tailor to the Role: Emphasize aspects of your work that align with the job description, particularly conversational design, AI tools, and financial services context if applicable.

Challenge Preparation:

• AI Scenario Thinking: Practice thinking through hypothetical AI product design challenges. Consider user needs, potential AI capabilities, ethical implications, and how to create a seamless, human-like interaction.

• Prompt Design Practice: Familiarize yourself with common prompt structures and techniques. Be ready to discuss how you would prompt an AI for specific user tasks.

• Figma Proficiency: Be prepared to demonstrate Figma skills, potentially through a live exercise or by discussing complex features and workflows you've used.

• Stakeholder Management: Prepare examples of how you've collaborated with product and engineering teams, managed feedback, and advocated for user needs.

📝 Enhancement Note: The interview process will heavily scrutinize your practical AI experience and your ability to apply design principles within that context. A well-curated portfolio that clearly demonstrates this is essential for success.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core tool for UX/UI design, wireframing, prototyping, and visual design. Advanced proficiency is required.

• Generative AI Tools: Experience with tools that leverage AI for design ideation, content generation, or prompt creation (e.g., CoPilot, potentially internal Wells Fargo AI tools).

• Prototyping Tools: Beyond Figma's capabilities, familiarity with specialized prototyping tools may be beneficial.

Analytics & Reporting:

• User Analytics Platforms: Experience with tools like Google Analytics, Adobe Analytics, or similar platforms to understand user behavior and measure design impact.

• Data Visualization Tools: Familiarity with tools like Tableau or Power BI for analyzing user data and presenting insights.

CRM & Automation:

• While not a direct CRM role, understanding how design impacts customer journeys within a CRM context could be beneficial.

• Familiarity with project management and collaboration tools like Jira, Confluence, and Slack is expected for team integration.

📝 Enhancement Note: Proficiency in Figma is explicitly required. A strong understanding of how to integrate Generative AI tools into the design workflow is a key differentiator for this role.

👥 Team Culture & Values

Operations Values:

• Empowered Experts: Take ownership of your work, bring strong design rationale, and contribute with confidence.

• Radical Candor: Provide and receive honest, constructive feedback to drive continuous improvement.

• Customer-First: Obsessed with creating delightful, human-centered experiences that meet customer needs.

• Collaboration & Fun: Work effectively with diverse teams, fostering a positive and enjoyable work environment.

• Data-Driven Decisions: Utilize data and insights to inform design choices and measure impact.

• Efficiency & ROI: Focus on delivering value and optimizing processes to achieve business objectives.

Collaboration Style:

• Highly collaborative, working closely with Product Management and Engineering to co-create solutions.

• Open to feedback and iterative design processes, fostering a "one-team" approach.

• Encourages knowledge sharing through documentation (e.g., Confluence) and team discussions.

• Values diverse perspectives to ensure comprehensive problem-solving.

📝 Enhancement Note: The emphasis on "radical candor" and "empowered experts" suggests a culture that values direct communication and individual accountability within a team setting. This is a modern approach to design culture, even within a large financial institution.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating AI's Rapid Evolution: Staying current with the fast-paced advancements in Generative AI and effectively applying them to financial services products.

• Balancing Innovation with Regulation: Designing cutting-edge AI experiences within the highly regulated financial industry, ensuring compliance, security, and risk mitigation.

• Data Curation for LLMs: The complex and critical task of curating and ensuring the quality of data used for LLM grounding.

• Cross-functional Alignment: Effectively communicating complex AI design concepts and rationales to diverse stakeholders, including those less familiar with AI.

• Measuring AI ROI: Developing clear metrics and demonstrating the tangible business value and ROI of AI-driven design initiatives.

Learning & Development Opportunities:

• AI Specialization: Deep dive into prompt engineering, conversational AI design, AI ethics, and the technical underpinnings of LLMs.

• Industry Best Practices: Access to industry conferences, workshops, and training focused on AI in design and financial services.

• Mentorship: Opportunities to be mentored by senior design leaders and to mentor junior designers.

• Design System Contribution: Influence and contribute to the development and evolution of Wells Fargo's design system, particularly for AI applications.

📝 Enhancement Note: This role presents a unique opportunity to tackle complex challenges at the forefront of AI adoption in financial services, offering significant potential for professional growth and skill development in a high-demand area.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used Generative AI or AI-assisted tools in a real product design project. What was the challenge, your approach to prompting/curation, and what was the outcome?"

• "How do you balance user needs, business goals, and technical constraints, especially when working with emerging AI technologies like LLMs?"

• "Walk us through your process for designing a conversational AI experience from ideation to launch. What specific techniques do you employ?"

• "How do you ensure the accuracy, quality, and ethical considerations of content used for LLM grounding?"

Company & Culture Questions:

• "What interests you about designing for Wells Fargo, specifically for our AI assistant, Fargo?"

• "How do you approach radical candor in a team setting?"

• "How do you stay updated on the rapidly evolving field of AI and its impact on design?"

Portfolio Presentation Strategy:

• Lead with AI: Start your portfolio presentation by showcasing your most relevant AI design projects. Clearly articulate your role, the problem, your process (prompting, content curation, iteration), and the measurable impact.

• Showcase Figma Mastery: Be prepared to discuss specific Figma features and workflows you used to create your designs, especially for complex interactions or visual elements.

• Quantify Everything: Use data and metrics to support your claims about user satisfaction, efficiency, or business impact.

• Explain Your 'Why': For every design decision, be ready to explain the rationale behind it, referencing user research, business goals, or design principles.

• Prepare for Follow-up Questions: Anticipate deep dives into your process, your decision-making, and your understanding of AI's nuances.

📝 Enhancement Note: Be prepared to defend your AI experience with concrete examples and to discuss the practicalities of implementing AI solutions, including risk and ROI, within a regulated environment.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the official Wells Fargo Careers portal via the provided link.

• Customize Your Resume: Tailor your resume to highlight your 4+ years of product design experience, specific Figma proficiency, and any demonstrable experience with Generative AI, prompt engineering, or AI-assisted design in production environments. Use keywords from the job description.

• Curate Your Portfolio: Select 2-3 of your strongest projects, ensuring at least one clearly showcases your AI design experience (prompting, LLM grounding, iteration). Prepare a concise narrative for each, emphasizing your process, problem-solving, and impact.

• Prepare for AI/Figma Discussions: Be ready to talk in detail about your AI design process and your advanced Figma skills. Practice articulating your design rationale for AI-driven features.

• Research Wells Fargo & "Fargo": Understand Wells Fargo's position in the financial industry and research any publicly available information on their AI initiatives or virtual assistants to demonstrate genuine interest and preparedness.

⚠️ 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.