Senior UX Designer

Thomson Reuters; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Thomson Reuters seeks a Senior UX Product Designer to shape AI-powered experiences across its product ecosystem. You’ll work at the intersection of UX, product strategy, and applied AI, translating complex model capabilities into intuitive, trustworthy workflows.

You will lead end-to-end design of agentic features, collaborate with data science and engineering, and ensure responsible AI practices while driving user adoption and trust.

Qualifications

• Deep systems-thinking skills across UI, data inputs, model constraints, and workflows.
• Strong interaction design, simplifying AI behaviors into usable UX patterns.
• Hands-on end-to-end user research planning and execution (interviews, usability tests, surveys).
• Experience collaborating with product management, engineering, data science, analytics, UX research, accessibility in fast-moving teams.
• 6+ years of professional product design experience with ownership of complex workflows.
• Commitment to responsible AI principles: transparency, fairness, user empowerment.
• Ability to prototype with tools such as Figma, Python notebooks, model sandboxes, or no-code AI orchestration tools.
• Familiarity with model behaviors—hallucinations, confidence levels, and data quality impacts.

Responsibilities

• Lead end-to-end design of AI-powered features, including agentic workflows and human-in-the-loop systems.
• Translate model behaviors, data inputs, and system limitations into coherent UX patterns that build trust.
• Prototype with real AI/LLM models to evaluate prompts and inform product direction.
• Collaborate with product, data science, and engineering to shape model requirements and constraints.
• Partner with UX Research to conduct usability testing and AI-specific validation studies.
• Design interaction flows with transparency moments, safety guardrails, and recovery states.
• Define when AI acts autonomously vs when humans take control, including handoffs.
• Develop internal design standards for AI patterns, prompt design guidelines, and evaluation criteria.

Skills

Systems thinking

Interaction design

User research

Cross-functional collaboration

AI/LLM design

Prototyping

Communication

Storytelling

Model evaluation

Information architecture

Prompt design

Figma

Python notebooks

Tools

Figma

Python notebooks

Model sandboxes

No-code AI tools

Job description

• We are seeking a Senior UX Product Designer to help shape the next generation of AI-powered experiences across our product ecosystem
• In this role, you will work at the intersection of user experience, product strategy, and applied AI, translating complex model capabilities into intuitive, trustworthy, and high-impact workflows
• You will define how humans collaborate with AI—designing the interactions, feedback loops, transparency moments, and control surfaces that make AI feel both powerful and reliable
• You will partner closely with product management, product engineering, and data science to build experiences that balance innovation with responsible AI practices
• This role is ideal for a designer who thrives in ambiguity, understands the unique behaviors and constraints of AI systems, and can convert them into clear, user-centered solutions
• Lead the end-to-end design of AI-powered features, including agentic workflows, generative interactions, and human-in-the-loop systems
• Translate model behaviors, data inputs, and system limitations into coherent UX patterns that drive user trust and product adoption
• Prototype with real AI/LLM models to evaluate user prompts, improve model responses, and inform product direction
• Map and design collaboration patterns between users and AI—defining when AI acts autonomously, when humans take control, and how handoffs occur
• Create clear interaction flows that incorporate transparency moments, safety guardrails, override options, and recovery states
• Partner with data science and engineering to shape model requirements, evaluate performance constraints, and align system behaviors with user needs
• Partner with UX Research to run usability testing and AI-specific validation studies to understand user mental models, trust factors, and interaction expectations
• Leverage qualitative and quantitative data to run evaluative studies for AI features (e.g., prompt/response quality, hallucination risk, trust sign)
• Contribute to internal design standards for AI patterns, prompt design guidelines, evaluation criteria, and UX quality benchmarks
• Collaborate with product and research teams to identify new opportunities where AI can meaningfully improve outcomes for users
• Communicate design decisions with clarity, influence senior stakeholders, and guide teams through ambiguous or evolving problem spaces
• Leverage AI tooling and internal content standards to deliver clear, concise, brand aligned product experiences
• Design accessible solutions and collaborate with the Accessibility team to ensure WCAG 2.1 AA compliance, using AI checks alongside expert review

• Deep systems-thinking skills and comfort designing across multiple layers: UI, data inputs, model constraints, and operational workflows
• Strong interaction design skills with the ability to simplify ambiguous AI behaviors into predictable, user-centered experiences
• Hands-on experience planning and executing end-to-end user research—defining objectives, recruiting participants, moderating studies (interviews, usability tests, surveys, concept/validation), synthesizing insights, and translating findings into roadmap and design decisions
• Experience collaborating with product management, product engineering, data science, product analytics, user research, content design, accessibility, UX engineering in high-velocity, cross-functional teams
• 6+ years of professional product design experience with a strong portfolio demonstrating end-to-end ownership of complex workflows
• Commitment to responsible AI principles, including transparency, fairness, and user empowerment
• Ability to prototype using tools such as Figma, Python notebooks, model sandboxes, or no-code AI orchestration tools
• Familiarity with model behaviors and limitations—hallucinations, confidence levels, deterministic vs. probabilistic output, and data quality impacts
• Strong communication and storytelling skills—able to influence decisions and articulate the “why” behind design choices
• Experience designing with AI or LLM technologies, including prompt design, generative UX, and evaluating model output quality
• A growth mindset, comfort navigating ambiguity, and an enthusiasm for experimenting with emerging technologies
• Ability to design intuitive search, drafting, and review workflows—especially those involving complex knowledge structures or trust-critical decision moments
• Comfort working with model-evaluation tooling, analytics dashboards, and prompt or version-management systems to understand and refine AI behavior
• Strength in shaping information architecture for large-scale content ecosystems, including 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—and the ability to translate complexity into usable experiences
• Experience shipping zero-to-one products, iterating rapidly through ambiguity to test hypotheses, derisk bets, and accelerate product market fit