Senior UX Designer

📍 Job Overview

Job Title: Senior UX Designer Company: Thomson Reuters Location: New York, NY, United States (Hybrid) Job Type: FULL_TIME Category: UX/Product Design (AI Focus) Date Posted: 2026-05-11T00:00:00 Experience Level: 6+ Years Professional Experience Remote Status: Hybrid

🚀 Role Summary

• Lead the end-to-end design of AI-powered features, including agentic workflows and generative interactions, across Thomson Reuters' product ecosystem.
• Translate complex AI model capabilities, data inputs, and system limitations into intuitive, trustworthy, and high-impact user experiences.
• Define and design the collaboration patterns between users and AI, ensuring clear interaction flows, transparency, safety guardrails, and control surfaces.
• Partner closely with product management, product engineering, data science, and UX research to build innovative and responsible AI-driven solutions.

📝 Enhancement Note: This role is situated at the cutting edge of AI and UX design, requiring a deep understanding of how users interact with artificial intelligence. The focus on "agentic workflows" and "human-in-the-loop" systems indicates a need for designers who can manage complex, dynamic interactions where AI takes initiative and humans provide oversight or input. The emphasis on trust, transparency, and responsible AI practices is critical for success in this domain.

📈 Primary Responsibilities

• Spearhead the complete design lifecycle for AI-driven features, from conceptualization to implementation, with a focus on agentic workflows and generative interactions.
• Develop clear and coherent UX patterns that effectively communicate model behaviors, data inputs, and system constraints to users, fostering trust and driving adoption.
• Prototype and test interactions directly with AI/LLM models to refine user prompts, enhance model responses, and inform product strategy.
• Design intricate collaboration models between users and AI, clearly delineating autonomous AI actions, human control points, and seamless handoff mechanisms.
• Craft explicit interaction flows that integrate crucial elements such as transparency moments, safety guardrails, override options, and effective recovery states.
• Actively collaborate with data science and engineering teams to influence model requirements, assess performance limitations, and ensure alignment between system behaviors and user needs.
• Partner with UX Research to conduct rigorous usability testing and AI-specific validation studies to understand user mental models, trust dynamics, and interaction expectations.
• Utilize qualitative and quantitative data to execute evaluative studies for AI features, focusing on prompt/response quality, hallucination risk, and trust indicators.
• Contribute to the development and documentation of internal design standards for AI patterns, prompt design guidelines, evaluation criteria, and UX quality benchmarks.
• Collaborate with product and research teams to identify and capitalize on new opportunities where AI can significantly enhance user outcomes.
• Articulate design decisions with exceptional clarity, effectively influence senior stakeholders, and guide teams through ambiguous or evolving problem spaces.
• Leverage AI tooling and internal content standards to deliver cohesive, brand-aligned product experiences that are both clear and concise.
• Design accessible solutions in accordance with WCAG 2.1 AA compliance, integrating AI checks with expert review in collaboration with the Accessibility team.

📝 Enhancement Note: The responsibilities highlight a hands-on approach to AI design, requiring not just conceptualization but also direct engagement with AI models through prototyping and testing. The emphasis on translating "model behaviors" and "system limitations" into UX patterns underscores the need for a strong analytical and problem-solving mindset, combined with creative design solutions.

🎓 Skills & Qualifications

Education: Bachelor's or Master's degree in Human-Computer Interaction (HCI), Design, Computer Science, or a related field, or equivalent practical experience.

Experience: 6+ years of professional product design experience with a proven track record of end-to-end ownership of complex workflows.

Required Skills:

• Demonstrable expertise in designing with AI or Large Language Model (LLM) technologies, including prompt design, generative UX, and evaluating model output quality.
• Strong interaction design skills, with a proven ability to translate ambiguous AI behaviors into predictable, user-centered experiences.
• Familiarity with AI model behaviors and limitations, such as hallucinations, confidence levels, deterministic vs. probabilistic output, and the impact of data quality.
• Proficiency in prototyping using tools such as Figma, Python notebooks, model sandboxes, or no-code AI orchestration tools.
• Hands-on experience planning and executing end-to-end user research, including defining objectives, recruiting participants, moderating studies (interviews, usability tests, surveys, concept/validation), synthesizing insights, and translating findings into actionable roadmap and design decisions.
• Deep systems-thinking skills and comfort designing across multiple layers: UI, data inputs, model constraints, and operational workflows.
• Proven experience collaborating effectively with cross-functional teams including product management, product engineering, data science, product analytics, user research, content design, accessibility, and UX engineering in high-velocity environments.
• Strong communication and storytelling abilities, with a demonstrated capacity to influence decisions and articulate the rationale behind design choices.
• Commitment to responsible AI principles, including transparency, fairness, and user empowerment.
• A growth mindset, comfort navigating ambiguity, and a strong enthusiasm for experimenting with emerging technologies.

Preferred Skills:

• Experience designing intuitive search, drafting, and review workflows, particularly those involving complex knowledge structures or trust-critical decision moments.
• Comfort working with model-evaluation tooling, analytics dashboards, and prompt or version-management systems for AI behavior refinement.
• Skill in shaping information architecture for large-scale content ecosystems, incorporating clear citation patterns, confidence signals, and quality indicators.
• Familiarity with domain-heavy environments such as newsroom tooling, legal research, tax and compliance, risk and fraud, or financial analysis.
• Experience shipping zero-to-one products, iterating rapidly through ambiguity to test hypotheses, derisk investments, and accelerate product-market fit.

📝 Enhancement Note: The advanced nature of this role, focusing on AI, implies that candidates with a strong grasp of AI concepts and their UX implications will be highly valued. The requirement for prototyping with actual AI models and conducting AI-specific validation studies suggests a need for candidates who are not just theoretical designers but also practical experimenters. The "Bonus" skills indicate specific areas of expertise that would make a candidate exceptionally strong for this position.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing end-to-end ownership of complex design workflows, with a strong emphasis on AI-driven features or complex systems.
• Case studies that clearly articulate the problem, your design process, the specific challenges related to AI interactions, and the measurable outcomes.
• Examples demonstrating your ability to design for ambiguity and translate technical constraints (like AI model limitations) into user-friendly solutions.
• Visualizations of interaction flows, wireframes, prototypes, and final UI designs that highlight your design thinking and execution.
• Evidence of user research methodologies applied to AI products, including insights gathered and how they informed design decisions.

Process Documentation:

• Detailed documentation of your design process, emphasizing how you approach complex problems, particularly those involving emerging technologies like AI.
• Examples of how you have collaborated with engineering, data science, and product management to define requirements and iterate on AI features.
• Documentation of your user research plans, synthesis methods, and how findings were translated into actionable design recommendations for AI systems.
• Workflow diagrams or process maps illustrating how you manage iterative design cycles, incorporating feedback from AI evaluations and user testing.

📝 Enhancement Note: For a Senior UX Designer role focused on AI, the portfolio should not just display aesthetic skills but critically demonstrate a deep understanding of interaction design principles applied to AI. It needs to showcase how the candidate navigates the unique challenges of AI, such as uncertainty, explainability, and user trust, through their design process. The ability to prototype with AI models is a key differentiator.

💵 Compensation & Benefits

Salary Range:

• New York City, San Francisco, Los Angeles, Irvine, CA; McLean, VA; Washington, DC: $117,700 USD - $218,600 USD base compensation.
• Other US Locations: $102,200 USD - $189,800 USD base compensation.
• Ontario, Canada: $105,000 CAD - $155,000 CAD base compensation.

Benefits:

• Work-Life Balance & Flexibility:
  • Hybrid Work Model (2-3 days/week in office)
  • "Flex My Way" policies for managing personal and professional responsibilities.
  • Work from anywhere for up to 8 weeks per year.
• Health & Wellness:
  • Comprehensive health, dental, and vision insurance.
  • Disability and life insurance programs.
  • Access to the Headspace app.
  • Fitness reimbursement.
  • Employee Assistance Program (EAP).
  • Paid Mental Health Days Off (two company-wide).
• Financial & Retirement:
  • Competitive 401k plan with company match (US).
  • Retirement savings plan (Canada).
  • Employee Stock Purchase Plan (US).
  • Flexible Spending Account (FSA) and Health Savings Account (HSA) (US).
  • 529 Plan access (US).
• Professional Development:
  • Tuition reimbursement.
  • Grow My Way programming for continuous learning.
  • Skills-first approach to career growth.
• Time Off:
  • Flexible vacation policy.
  • Paid holidays.
  • Parental leave.
  • Sabbatical leave.
  • Paid volunteer days off (two annually).
• Other:
  • Employee incentive programs.
  • Optional hospital, accident, and sickness insurance (employee-paid).
  • Optional life and AD&D insurance (employee-paid).
  • Group Legal Identity Theft Protection (employee-paid).
  • Commuter benefits (US).
  • Adoption & Surrogacy Assistance (US).

Working Hours: Standard full-time hours, with flexibility offered through various company policies. The role is expected to align with typical business operations schedules, allowing for effective cross-functional collaboration.

📝 Enhancement Note: The salary ranges provided are broad, reflecting the varying cost of living and market rates across different eligible locations. Candidates should research the specific salary benchmarks for their target location within the provided range. The benefits package is extensive, with a strong emphasis on work-life balance and employee well-being, which are key differentiators for attracting top talent in competitive tech roles.

🎯 Team & Company Context

🏢 Company Culture

Industry: Information Services, Technology, and Media. Thomson Reuters is a global leader in providing trusted content and technology solutions for professionals in legal, tax, accounting, compliance, government, and media sectors.

Company Size: Over 26,000 employees globally. This indicates a large, established organization with significant resources and a broad reach, offering stability and opportunities for impact on a global scale.

Founded: Thomson Reuters has a long history, with roots tracing back over a century, evolving through mergers and acquisitions to become the modern entity it is today. This heritage suggests a culture that values expertise, reliability, and long-term vision.

Team Structure:

• The UX team likely operates within a product development structure, collaborating closely with Product Management, Engineering, and Data Science.
• This Senior UX Designer will be part of a larger UX organization, potentially with specialists in research, content design, and accessibility, fostering a collaborative environment.
• Reporting structure is likely to a UX Lead or Director, with direct interaction with Product Owners and Engineering Leads for specific AI initiatives.

Methodology:

• Data-driven decision-making is a core component, leveraging both quantitative analytics and qualitative user feedback to inform product direction and design.
• Agile methodologies are likely employed, enabling rapid iteration, experimentation, and continuous improvement, especially crucial for AI product development.
• A strong emphasis on user-centered design principles, ensuring that technology solutions meet genuine user needs and deliver tangible value.

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

📝 Enhancement Note: Thomson Reuters' position as a provider of critical information and technology for professionals suggests a culture that values accuracy, reliability, and deep domain expertise. The integration of AI into their product ecosystem indicates a forward-thinking approach, aiming to leverage cutting-edge technology to enhance their trusted offerings.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior-level individual contributor role, signifying a high degree of autonomy, expertise, and expected leadership in design strategy and execution within the AI UX domain. It is a pivotal position for shaping the future of AI interactions at Thomson Reuters.

Reporting Structure: The Senior UX Designer will likely report to a UX Design Manager or Director, working closely with Product Managers, Engineering Leads, and Data Scientists on specific product initiatives. This structure allows for both strategic guidance and deep, hands-on contribution.

Operations Impact: The role's impact is significant, directly influencing how professionals across various critical sectors (legal, tax, etc.) interact with and leverage AI. By designing intuitive and trustworthy AI experiences, this role will enhance user productivity, decision-making accuracy, and overall adoption of AI technologies, thereby driving business value and reinforcing Thomson Reuters' position as a leader in trusted information.

Growth Opportunities:

• Specialization: Deepen expertise in AI/LLM UX design, becoming a go-to authority within the company and potentially the industry.
• Leadership: Transition into a UX Lead or Manager role, mentoring junior designers and guiding larger design initiatives.
• Cross-functional Mobility: Move into Product Management or specialized AI Strategy roles, leveraging design expertise within broader product development contexts.
• Innovation: Contribute to "zero-to-one" product development, shaping new AI-powered offerings from inception to market launch.

📝 Enhancement Note: The "Senior" title implies a mentorship expectation, where the individual will guide and influence less experienced designers and contribute to the overall design maturity of the AI product teams. The emphasis on "zero-to-one" products suggests opportunities to be involved in truly innovative, market-defining work.

🌐 Work Environment

Office Type: The company operates a hybrid work model, requiring 2-3 days per week in the office for office-based roles. This suggests a balance between in-person collaboration and remote flexibility.

Office Location(s): Eligible locations include New York City, Frisco (TX), Toronto (ON), Ann Arbor (MI), and Eagan (MN). This provides geographical flexibility for candidates within these regions.

Workspace Context:

• The office environment is designed for collaboration, with facilities supporting hybrid work. Expect opportunities for face-to-face brainstorming, design reviews, and team syncs.
• Access to necessary design tools, software, and potentially AI sandboxes or development environments will be provided to facilitate the design process.
• The team culture likely encourages open communication and knowledge sharing, vital for tackling complex AI design challenges.

Work Schedule: Standard full-time working hours are expected, with flexibility offered through Thomson Reuters' "Flex My Way" and "Work from Anywhere" policies, supporting a healthy work-life balance. The hybrid model means specific days in the office will be coordinated with the team.

📝 Enhancement Note: The hybrid model emphasizes the importance of in-office days for team cohesion and collaborative problem-solving, especially critical for complex AI design projects. Candidates should be prepared to work effectively both independently and as part of an in-person team.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will review your application and resume, assessing basic qualifications and experience.
• Portfolio Review: A hiring manager or senior designer will evaluate your portfolio, focusing on AI design experience, problem-solving skills, and end-to-end design process. Be prepared to walk through your most relevant case studies.
• Technical/Design Interviews: Expect interviews with designers, product managers, and potentially data scientists/engineers. These will delve into your design process, AI interaction design knowledge, systems thinking, and ability to articulate design rationale.
• Case Study/Design Challenge: You may be given a design problem related to AI interaction to solve within a set timeframe, which you will then present and discuss.
• Behavioral Interviews: Assess your fit with the company culture, collaboration style, and approach to ambiguity and responsible AI.
• Final Round: Likely with senior leadership to discuss strategic impact and final approvals.

Portfolio Review Tips:

• Highlight AI Expertise: Clearly showcase projects involving AI, LLMs, generative design, or complex data interactions. Detail your specific contributions and the unique challenges you addressed.
• Process Over Polish: While polished visuals are good, focus on demonstrating your thought process, problem-solving approach, and how you used research and data to drive decisions.
• Quantify Impact: Whenever possible, include metrics and outcomes to demonstrate the real-world impact of your designs. For AI, this could include metrics related to user efficiency, task completion rates, or trust levels.
• Storytelling: Structure your case studies as compelling narratives. Explain the "why" behind your decisions and how you navigated constraints.
• Prototyping Clarity: Show interactive prototypes if possible, especially those that demonstrate AI interactions or complex workflows.

Challenge Preparation:

• Understand AI Nuances: Be ready to discuss concepts like prompt engineering, hallucination, explainability, and user trust in AI.
• Systems Thinking: Practice thinking through complex systems, including user interfaces, data flows, and underlying AI model behaviors.
• User Research for AI: Prepare to discuss how you would approach user research specifically for AI products, considering unique user needs and concerns.
• Responsible AI: Be prepared to discuss ethical considerations and how you incorporate principles of fairness, transparency, and user empowerment into your designs.

📝 Enhancement Note: Given the specialized nature of AI UX, candidates should be ready to articulate how their design skills translate to the unique challenges of AI. The portfolio review is likely to be highly technical, focusing on the candidate's ability to manage uncertainty and design for systems that learn and evolve.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (primary), potentially Sketch, Adobe Creative Suite.
• AI/LLM Prototyping: Python notebooks, model sandboxes, no-code AI orchestration tools (specifics may vary, but demonstrable ability to experiment is key).
• User Research Tools: Tools for usability testing, surveys, participant recruitment (e.g., UserTesting.com, SurveyMonkey, Lookback).
• Collaboration Tools: Jira, Confluence, Slack, Microsoft Teams.

Analytics & Reporting:

• Product Analytics: Tools like Google Analytics, Amplitude, Mixpanel for tracking user behavior and feature adoption.
• AI Evaluation Tools: Familiarity with tools or methods for evaluating prompt/response quality, hallucination risk, and trust signals.

CRM & Automation:

• While not primary for UX design, awareness of CRM systems (e.g., Salesforce) and automation platforms can be beneficial for understanding broader business workflows and data inputs.
• Knowledge of integration platforms (e.g., Zapier, Workato) might be useful for understanding how different systems connect.

📝 Enhancement Note: Proficiency in Figma is almost certainly a baseline requirement. The ability to "prototype with real AI/LLM models" is a critical differentiator, suggesting that candidates who can use Python notebooks or specific AI sandboxes will have a significant advantage. Familiarity with AI evaluation metrics and tools is also highly relevant.

👥 Team Culture & Values

Operations Values:

• Obsess over our Customers: A deep understanding of user needs and pain points, especially in a professional context, is paramount. Designs must deliver tangible value and solve real-world problems.
• Compete to Win: Drive for excellence and innovation in AI-powered solutions to maintain market leadership.
• Challenge (Y)our Thinking: Foster a culture of continuous learning, experimentation, and constructive critique, especially when navigating the evolving landscape of AI.
• Act Fast / Learn Fast: Embrace agile methods, iterate quickly, and learn from both successes and failures, particularly in the experimental realm of AI.
• Stronger Together: Emphasize collaboration, knowledge sharing, and mutual support across diverse teams (UX, Product, Engineering, Data Science).

Collaboration Style:

• Highly collaborative and cross-functional, requiring seamless interaction with product managers, engineers, data scientists, researchers, and accessibility experts.
• Open communication and feedback loops are essential for iterating on complex AI designs and ensuring alignment.
• A culture that values diverse perspectives and encourages constructive debate to arrive at the best solutions.

📝 Enhancement Note: The company's stated values—especially "Obsess over our Customers," "Challenge (Y)our Thinking," and "Act Fast / Learn Fast"—are particularly relevant for a role pushing the boundaries of AI UX. This implies a need for designers who are not only skilled but also adaptable, curious, and user-focused.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: AI systems can be unpredictable. A key challenge will be translating uncertain AI outputs into clear, reliable user experiences.
• Building User Trust: Users may be skeptical or wary of AI. Designing for transparency, explainability, and control is crucial for fostering trust.
• Rapidly Evolving Technology: The AI landscape changes daily. Staying current with LLM advancements, ethical considerations, and new design patterns will be ongoing.
• Balancing Innovation with Responsibility: Ensuring AI features are not only powerful but also fair, unbiased, and safe requires careful design and ethical consideration.
• Cross-Disciplinary Collaboration: Effectively bridging the gap between design, engineering, and data science, particularly when dealing with complex AI models.

Learning & Development Opportunities:

• AI/LLM Specialization: Become a leader in a rapidly growing and critical field of UX design.
• Industry Conferences & Certifications: Opportunities to attend leading AI and UX conferences and pursue relevant certifications.
• Mentorship: Access to senior designers and AI experts within Thomson Reuters for guidance and skill development.
• Exposure to Diverse Domains: Work across various professional sectors (legal, tax, etc.), gaining deep domain knowledge and understanding unique user needs.
• Shaping Future Products: Play a key role in defining the next generation of AI-powered professional tools.

📝 Enhancement Note: The challenges inherent in AI UX design also present significant growth opportunities. Candidates who are proactive in learning and adapting will find this role incredibly rewarding, offering a chance to shape the future of human-AI interaction in critical professional domains.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex workflow you designed that involved significant ambiguity or technical constraints. How did you approach it, and what was the outcome?" (Focus on your process, problem-solving, and AI-relevant examples).
• "How would you design an AI feature that needs to balance autonomous action with user control? What are the key considerations for transparency and trust?" (Demonstrate your understanding of human-AI collaboration).
• "Imagine we are building an AI assistant that drafts legal documents. What are the primary UX challenges, and how would you address them?" (Apply your AI UX knowledge to a specific, complex scenario).

Company & Culture Questions:

• "What do you know about Thomson Reuters and its mission to provide trusted information? How do you see AI fitting into that mission?" (Show your research and alignment with company goals).
• "How do you approach collaboration with product managers, engineers, and data scientists, especially when discussing complex AI capabilities?" (Highlight your cross-functional communication and teamwork skills).
• "Describe a time you had to advocate for a design decision that was met with resistance. How did you handle it, and what was the result?" (Assess your influence and stakeholder management abilities).

Portfolio Presentation Strategy:

• Start with the 'Why': Clearly articulate the problem statement and business/user need for each case study.
• Showcase Your Process: Detail your steps, from research and ideation to iteration and final design. Explain why you made certain choices.
• Emphasize AI Specifics: For AI projects, explicitly call out how you handled prompt design, model behavior translation, user trust, and transparency.
• Quantify Results: Use data and metrics to demonstrate the impact of your work. If direct metrics are unavailable, use qualitative feedback or user study outcomes.
• Be Prepared for Deep Dives: Anticipate detailed questions about your design decisions, research findings, and technical considerations.

📝 Enhancement Note: Interview preparation should heavily focus on articulating how your UX skills are specifically applicable to AI. Be ready to discuss theoretical concepts of AI interaction design and demonstrate practical application through your portfolio and hypothetical scenarios.

📌 Application Steps

To apply for this Senior UX Designer position:

• Submit your application through the Thomson Reuters career portal via the provided link.
• Tailor Your Resume: Highlight your 6+ years of experience, specific AI/LLM design projects, user research expertise, and proficiency with design and prototyping tools. Use keywords from the job description.
• Curate Your Portfolio: Select 2-3 of your strongest projects that best demonstrate your end-to-end design process, particularly those involving complex systems, AI/LLMs, or intricate workflows. Ensure each case study clearly outlines the problem, your process, your role, and the impact.
• Prepare Your Narrative: Practice articulating your design process and project details concisely and compellingly. Be ready to discuss your approach to AI-specific challenges like prompt design, user trust, and explainability.
• Research Thomson Reuters: Understand their business, their mission, and how AI is being integrated into their professional solutions. This will help you tailor your responses and demonstrate genuine interest.

⚠️ 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.