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) / AI Product Development

Date Posted: April 13, 2026

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

Remote Status: On-site

🚀 Role Summary

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

• Blend user-centered design techniques with AI tools to accelerate ideation, execution, and quality of design output for conversational AI experiences.

• Actively collaborate with Product and Technology partners throughout the entire product lifecycle, from concept to launch, ensuring thoughtful and human-centric GenAI interactions.

• Curate and refine source content for LLM grounding, focusing on accuracy, style, and regulatory compliance within the financial services industry.

📝 Enhancement Note: While this role is for a Product Designer, the emphasis on AI, conversational design, prompt engineering, and LLM grounding positions it within the broader GTM and operations ecosystem, particularly in how new product features are brought to market and experienced by customers. The role requires a strong understanding of how design directly impacts customer adoption and satisfaction, which is a key GTM metric.

📈 Primary Responsibilities

• Design and deliver customer experience solutions for and using generative AI, focusing on improving financial lives and customer engagement.

• Actively collaborate with Product and Technology partners to prompt, prototype, specify, and test design solutions from concept to launch.

• Blend design and AI tools (e.g., Figma, FigmaMake, CoPilot) to accelerate ideation, execution, and quality of design output.

• Employ a broad array of user-centered design techniques, including customer journey mapping, utterance analysis, market surveys, wireframing, visual comps, prompt creation, content curation, prototyping, and usability testing.

• Collaborate with digital and business partners to curate source content for LLM grounding, and edit grounding and prompt documents for accuracy, style, and approvals.

• Review and analyze high-profile or complex projects, collaborating on research to test theories and develop alternative solutions.

• Self-organize to plan design tasks, set milestones, report on progress, track/resolve issues, and deliver on time; potential to lead projects and mentor other design specialists.

• Leverage and contribute to guidelines/standards (e.g., design systems, Confluence resources) to support a unified team approach.

• Understand and balance business, user, and technical requirements, delivering value with regular attention to ROI and risk as an integrated part of the design process.

📝 Enhancement Note: The responsibilities highlight a unique intersection of traditional product design and emerging AI product development. The emphasis on prompt creation, content curation for LLM grounding, and understanding AI limitations are critical for successful Go-To-Market execution of AI-driven products. This requires a designer to think strategically about how the product will be perceived and used by customers, influencing adoption and retention.

🎓 Skills & Qualifications

Education:

• No specific degree requirement mentioned, but a strong portfolio and demonstrated experience in digital product design are paramount.

Experience:

• 4+ years of Online and Digital Product Design, Information Sciences, Graphic, and Visual Arts experience.

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

• Required: Experience working with AI prompts or AI-assisted design in real products, including testing, iteration, optimization, and maintenance, shaped by real accuracy, quality, and risk considerations.

Required Skills:

• Generative AI & AI Prompting: Proven experience working with AI prompts and AI-assisted design in live products.

• UX/UI Design: Expertise in user experience (UX) and user interface (UI) design principles and application.

• Figma Proficiency: Hands-on experience designing UX and UI specifically within Figma.

• Prototyping & Usability Testing: Ability to create interactive prototypes and conduct rigorous usability testing.

• Content Curation: Skill in selecting and refining content for AI models.

• Conversational Design: Understanding of how to design engaging and effective conversational experiences.

Preferred Skills:

• Visual Design: Strong visual design skills with the ability to solve complex problems in a delightful way.

• AI Technology Understanding: Familiarity with AI technologies, their vocabulary, opportunities, and limitations.

• Curiosity & Adaptability: Eagerness to learn and adapt to evolving AI capabilities and design methodologies.

• Design Rationale & Storytelling: Ability to articulate a strong design rationale and compelling storytelling skills to influence stakeholders.

• Design Systems: Experience contributing to or leveraging design systems for consistency and efficiency.

• LLM Grounding: Understanding of how to ground Large Language Models (LLMs) with accurate and relevant data.

• Journey Design: Proficiency in mapping and optimizing customer journeys.

📝 Enhancement Note: The "Required" experience with AI prompts and AI-assisted design in real products is a critical differentiator for this role, moving beyond theoretical knowledge to practical application. This aligns with the GTM need for designers who can contribute to the immediate launch and iteration of AI-powered features. The preferred skills further emphasize the blend of creative design and technical understanding required for this innovative role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• AI-Driven Projects: Showcase at least one significant project demonstrating experience with AI prompts or AI-assisted design in a real-world product. This should include insights into testing, iteration, optimization, and maintenance.

• Figma-Based UX/UI: Present a strong collection of UX and UI designs created using Figma, highlighting problem-solving and user-centered approaches.

• Conversational Design Examples: Include examples of designing conversational flows or interactions within a virtual assistant or chatbot context.

• Customer Journey Mapping: Demonstrate the ability to map and analyze customer journeys, with a focus on how AI can enhance these experiences.

• Visual Design Excellence: Showcase strong visual design skills through well-crafted UI mockups and visual assets.

Process Documentation:

• Design Process Explanation: Clearly articulate your design process, from initial research and ideation through to final delivery and iteration, emphasizing how you integrate AI tools and considerations.

• Prompt Engineering & Content Curation: If possible, provide insights into your process for crafting effective AI prompts and curating content for LLM grounding, detailing your rationale and any frameworks used.

• Collaboration & Iteration: Illustrate how you collaborate with product managers, engineers, and other stakeholders, and how you incorporate feedback and iterate on designs.

• Metrics & ROI Focus: Explain how you consider business objectives, user needs, and technical constraints, and how you aim to deliver value with an understanding of ROI and risk.

📝 Enhancement Note: For a role focused on generative AI, a portfolio must go beyond static mockups. It needs to demonstrate an understanding of dynamic AI interactions, the nuances of prompt engineering, and the iterative nature of AI product development. Highlighting a process that integrates AI tools and addresses the unique challenges of AI design will be crucial for a candidate's success.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Health Benefits: Comprehensive medical, dental, and vision coverage.

• Retirement Savings: 401(k) Plan with potential company match.

• Paid Time Off: Generous paid time off for vacation, personal days, and holidays.

• Disability Benefits: Short-term and long-term disability insurance.

• Life & Critical Illness Insurance: Life insurance, critical illness insurance, and accident insurance.

• Family Support: Parental leave and critical caregiving leave.

• Financial Wellness: Discounts and savings programs, commuter benefits.

• Professional Development: Tuition reimbursement and scholarships for dependent children.

• Other: Adoption reimbursement.

Working Hours:

• Standard full-time hours, likely around 40 hours per week. The role description mentions self-organization to plan design tasks and set milestones, implying a degree of autonomy within the workday.

📝 Enhancement Note: The provided salary range is a strong indicator of the mid-to-senior level of this role and the specialized skills required, particularly in AI design. The extensive benefits package offered by Wells Fargo is competitive and aims to support employees holistically, which can be a significant factor in attracting and retaining top talent in a competitive market. The mention of self-organization suggests potential for flexible task management within core working hours.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services (Banking and Investment)

Company Size: Large enterprise (Wells Fargo is one of the largest banks in the U.S. by assets, with a significant global employee base).

Founded: 1852

Team Structure:

• The role is within the "Fargo" team, an AI-powered virtual assistant initiative.

• This team likely comprises a mix of product managers, AI/ML engineers, software developers, UX researchers, content strategists, and product designers.

• Designers will collaborate closely with AI specialists and product owners to shape the future of conversational AI in financial services.

Methodology:

• AI-Powered Design: Focus on using AI tools (e.g., Figma plugins, CoPilot) to accelerate the design process and enhance output quality.

• User-Centered Design: Employing a broad array of user-centered design techniques to ensure solutions are customer-first.

• Agile/Iterative Development: The mention of "concept to launch" and "testing, iteration, optimization" suggests an agile or iterative approach to product development.

• Data-Driven Decisions: While not explicitly stated for design, the broader context of financial services and AI implies a reliance on data for insights, testing, and performance measurement.

• Risk & Compliance Focus: Given the industry, there's a strong emphasis on understanding and mitigating risks, ensuring designs adhere to regulatory compliance and security standards.

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

📝 Enhancement Note: Working within a large, established financial institution like Wells Fargo means balancing innovation with stringent regulatory requirements. The "Fargo" AI assistant initiative represents a forward-thinking push into AI, requiring designers to be adaptable, understand complex user needs in a financial context, and contribute to a culture that values both cutting-edge technology and robust risk management.

📈 Career & Growth Analysis

Operations Career Level:

Reporting Structure:

• Likely reports to a Lead Product Designer, Design Manager, or Head of Product Design for the AI/Digital initiatives.

• Will work closely with Product Managers, Engineering Leads, and AI/ML Specialists on the "Fargo" team.

Operations Impact:

• Directly impacts the customer experience of Fargo, Wells Fargo's AI-powered virtual assistant, influencing customer satisfaction, engagement, and adoption rates.

• Designs will shape how millions of customers interact with AI for their financial needs, potentially driving efficiency, reducing support costs, and creating new revenue opportunities through enhanced customer loyalty.

Growth Opportunities:

• Specialization in AI Design: Deepen expertise in prompt engineering, conversational AI design, and the ethical considerations of AI in financial services.

• Leadership: Potential to lead design initiatives for AI products, mentor junior designers, and contribute to the overall design strategy of the company's AI efforts.

• Cross-Functional Mobility: Develop strong relationships and understanding across product management, engineering, and AI research, opening doors to roles in AI product management or strategy.

• Industry Influence: Contribute to shaping the future of AI in financial services, potentially presenting at industry conferences or contributing to design best practices.

📝 Enhancement Note: For a Senior Product Designer in AI, growth isn't just about more design work; it's about strategic influence. This role offers a unique opportunity to build a specialized career in a rapidly evolving field, directly impacting a major financial institution's digital transformation and customer engagement strategies.

🌐 Work Environment

Office Type:

Office Location(s):

• 150 E 42nd St, New York, NY 10017

• 401 S Tryon St, Charlotte, NC 28202

Workspace Context:

• Collaborative Environment: The description emphasizes collaboration with Product and Technology partners, suggesting an open and team-oriented workspace.

• Access to Tools & Technology: Will have access to industry-standard design tools (Figma, potentially others like CoPilot) and AI platforms used by Wells Fargo.

• Team Interaction: Opportunities to engage with a diverse team of design specialists, AI experts, product managers, and engineers.

• Financial Services Setting: Work within a professional corporate environment that adheres to industry standards for security and compliance.

Work Schedule:

• Standard full-time hours, likely Monday through Friday. The role emphasizes self-organization for task planning and milestone setting, suggesting flexibility in task management within the workday, but physical presence in the office is required.

📝 Enhancement Note: The on-site requirement in major financial hubs like New York and Charlotte suggests an environment that values in-person collaboration, mentorship, and adherence to corporate standards. For operations and GTM roles, this often translates to a structured environment where clear processes and direct communication are paramount for efficient product rollout and stakeholder alignment.

📄 Application & Portfolio Review Process

Interview Process:

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

• Portfolio Review & Presentation: A key stage where candidates will present their portfolio, focusing on AI-related projects, Figma work, and their design process. Expect to discuss design rationale and problem-solving.

• Technical/Design Interviews: In-depth discussions with design leads, product managers, and potentially AI/engineering partners to evaluate design skills, AI understanding, and collaboration capabilities. This may include whiteboarding exercises or design challenges.

• Behavioral Interviews: Questions focused on past experiences, problem-solving approaches, teamwork, and how candidates handle challenges.

• Final Round: Potentially with senior leadership to assess strategic thinking and overall fit.

Portfolio Review Tips:

• Highlight AI Experience: Clearly showcase projects involving AI prompts, AI-assisted design, or conversational AI. Detail the challenges, your approach, and the outcomes.

• Figma Mastery: Ensure your Figma work is well-organized, visually appealing, and clearly demonstrates your UX/UI design process.

• Tell a Story: For each project, articulate the problem, your role, your design process (including AI integration), the solutions, and the results or learnings. Focus on the "why" behind your decisions.

• Demonstrate Rationale: Be prepared to defend your design choices with strong rationale, linking them back to user needs, business goals, and technical constraints.

• Showcase Collaboration: If possible, illustrate how you've worked with cross-functional teams.

• Focus on Impact: Quantify results where possible (e.g., improved conversion rates, user satisfaction scores) or articulate qualitative impact.

Challenge Preparation:

• AI Design Scenarios: Prepare for hypothetical scenarios involving designing for AI features, prompt engineering, or handling AI limitations.

• Figma Exercises: Be ready for tasks that might involve rapid prototyping or UI design critiques within Figma.

• Problem-Solving: Practice articulating your thought process for complex design problems, especially those involving new technologies like generative AI.

• Company Research: Understand Wells Fargo's business, its customer base, and its current digital initiatives, particularly around AI and customer service.

• Articulate Design Rationale: Practice clearly explaining your design decisions and how they align with user needs and business objectives.

📝 Enhancement Note: The emphasis on AI and Figma means candidates should be prepared to demonstrate practical skills in both. A strong portfolio that clearly outlines the candidate's experience with AI-assisted design and their ability to communicate complex design rationales will be critical for advancing through the interview process.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Core tool for UX/UI design, wireframing, prototyping, and visual design.

• AI Design Tools: Likely includes AI plugins for Figma, generative AI interfaces (e.g., ChatGPT, Bard), and potentially internal Wells Fargo AI tools (e.g., FigmaMake, CoPilot).

• Prototyping Tools: Figma's built-in prototyping capabilities, potentially supplemented by tools like InVision or Axure.

• Collaboration Platforms: Confluence for documentation and knowledge sharing, Jira for task management, and standard enterprise communication tools (e.g., Microsoft Teams, Slack).

Analytics & Reporting:

CRM & Automation:

• While this role is design-focused, an awareness of how designs integrate with CRM systems and automation workflows within the financial services context would be advantageous. The output of the "Fargo" assistant will likely interact with customer data managed in CRM systems.

📝 Enhancement Note: Proficiency in Figma is a hard requirement. The role also necessitates comfort and experience with emerging AI tools that augment the design process. Understanding how designs translate into user interactions that can be measured by analytics tools is key for demonstrating product impact.

👥 Team Culture & Values

Operations Values:

• Customer-First Experience: A core value, ensuring all designs prioritize customer needs and create delightful, human-centric interactions.

• Empowered Expertise: Employees are expected to be knowledgeable, confident in their design rationale, and proactive in their contributions.

• Radical Candor: Open and honest communication is encouraged, fostering a culture of constructive feedback and continuous improvement.

• Collaboration: A strong emphasis on working as a "one-team" across product, technology, and business units to achieve shared goals.

• Innovation & Curiosity: Eagerness to explore new technologies like generative AI and adapt to a rapidly evolving landscape.

• Rigorous Risk Management: Given the financial services industry, a deep respect for and adherence to risk mitigation, compliance, and security protocols is paramount.

Collaboration Style:

• Cross-Functional Integration: Designers are integral partners with Product and Technology teams, actively involved in all stages from ideation to launch.

• Iterative Feedback Loops: The culture likely supports regular design reviews, user testing, and incorporating feedback from various stakeholders.

• Knowledge Sharing: Contributions to design systems and documentation (e.g., Confluence) promote shared understanding and best practices across the team.

• Data-Informed Design: While fostering creativity, the approach is grounded in user research, testing, and potentially performance data to validate design decisions.

📝 Enhancement Note: The blend of "empowered experts" with "radical candor" suggests a dynamic and challenging but ultimately rewarding team environment. For operations and GTM professionals, understanding how a team balances innovation (AI) with established corporate values (risk, compliance) is key to successful integration and contribution.

⚡ Challenges & Growth Opportunities

Challenges:

• Pace of AI Evolution: Keeping up with the rapid advancements in generative AI and integrating new capabilities effectively and responsibly into product design.

• Balancing Innovation with Regulation: Designing cutting-edge AI experiences within the strict regulatory framework of the financial services industry.

• Ensuring Human-Centricity in AI: Designing AI interactions that feel natural, helpful, and trustworthy, avoiding the perception of being purely automated or impersonal.

• Prompt Engineering Nuances: Mastering the art and science of prompt creation to elicit desired, accurate, and safe responses from LLMs.

• Cross-Functional Alignment: Effectively communicating complex design concepts and AI capabilities to diverse stakeholders with varying technical backgrounds.

Learning & Development Opportunities:

• AI Design Specialization: Intensive learning in prompt engineering, conversational AI design patterns, ethical AI considerations, and LLM grounding techniques.

• Industry Best Practices: Exposure to and contribution to best practices for AI product design within the financial sector.

• Leadership Development: Opportunities to lead design projects, mentor junior designers, and influence strategic design direction for AI initiatives.

• Advanced Tooling: Gaining expertise with cutting-edge AI-assisted design tools and internal Wells Fargo AI platforms.

• Industry Conferences/Training: Potential for participation in relevant industry events and training programs focused on AI, UX, and financial technology.

📝 Enhancement Note: The primary challenge lies in the novelty of the field. Designers must be proactive learners, comfortable with ambiguity, and skilled at translating complex AI capabilities into user-friendly experiences. The growth opportunities are significant for those who can master this intersection of design and AI.

💡 Interview Preparation

Strategy Questions:

• AI Product Vision: "How would you approach designing a new feature for Fargo that leverages generative AI to help customers with [specific financial task, e.g., budgeting, investment planning]?" Focus on user needs, AI capabilities, and potential risks.

• Prompt Engineering Approach: "Describe your process for developing effective prompts for an LLM to generate personalized financial advice. What factors would you consider?" Highlight iteration, testing, and safety.

• Design Rationale & AI: "Walk us through a project where you had to balance user desires with technical limitations or AI constraints. How did you arrive at your solution?" Emphasize your decision-making process and problem-solving skills.

• Collaboration & Stakeholders: "How would you collaborate with product managers and AI engineers to ensure the 'Fargo' assistant provides accurate and helpful responses while adhering to Wells Fargo's brand voice and compliance standards?" Discuss communication strategies and alignment.

Company & Culture Questions:

• Wells Fargo & AI: "What excites you about applying AI design principles within a large financial institution like Wells Fargo?" Show your understanding of the industry context and the company's goals.

• Team Dynamics: "Describe a time you received constructive criticism on your design. How did you handle it, and what was the outcome?" Assess your ability to embrace radical candor and collaboration.

• Risk & Compliance: "How do you ensure your designs are not only user-friendly but also compliant with industry regulations and company policies?" Demonstrate your awareness of the importance of risk management.

Portfolio Presentation Strategy:

• Prioritize AI Projects: Lead with your most relevant AI design work. Clearly explain the problem, your process (including prompt engineering and content curation), the solutions, and any measurable outcomes or key learnings.

• Showcase Figma Skills: Have clean, well-organized Figma files ready to showcase your UX/UI design process, wireframes, mockups, and prototypes.

• Narrate Your Process: Don't just show the final output; explain the "why" behind every decision. Articulate your thought process, research findings, and how you integrated user feedback.

• Highlight Collaboration: If possible, include examples or anecdotes of how you worked with other teams to bring a design to life.

• Address ROI: Be prepared to discuss how your designs contribute to business value, whether through customer satisfaction, efficiency, or adoption.

📝 Enhancement Note: Interviewers will be looking for candidates who can not only design beautifully but also think strategically about AI's role in financial services, communicate complex ideas clearly, and navigate the unique challenges of a regulated industry. Demonstrating a blend of creative problem-solving and technical understanding, particularly in AI, will be key.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided Workday link: https://wf.wd1.myworkdayjobs.com/WellsFargoJobs/job/NEW-YORK-NY/Senior-Product-Designer_R-532504

• Portfolio Customization: Tailor your portfolio to prominently feature your experience with AI prompts, AI-assisted design, and your Figma-based UX/UI work. Ensure case studies clearly articulate your process, rationale, and any quantifiable results.

• Resume Optimization: Highlight keywords such as "Generative AI," "Prompt Engineering," "Figma," "UX Design," "UI Design," "Conversational Design," and "Product Design." Quantify achievements where possible, especially those related to AI product development or user experience improvements.

• Interview Preparation: Practice articulating your design process, your approach to AI challenges, and your rationale for design decisions. Prepare to walk through your portfolio with a focus on AI-related projects and your collaboration skills.

• Company Research: Thoroughly research Wells Fargo, its "Fargo" AI assistant initiative, and its position in the financial services industry. Understand their focus on customer experience, risk management, and digital transformation.

⚠️ 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.