Senior UX Designer

Join our team as a Senior UX Designer, where you will shape the future of AI-powered experiences across our product ecosystem. You will work at the intersection of user experience, product strategy, and applied AI, translating complex model capabilities into intuitive and impactful workflows. Your role will involve leading the end-to-end design of AI-powered features, mapping collaboration patterns between users and AI, and partnering with various teams to ensure user-centered solutions. This position is ideal for a designer who thrives in ambiguity and has a strong understanding of AI systems.

• Lead the end-to-end design of AI-powered features, including agentic workflows, generative interactions, and human-in-the-loop systems.
• Partner closely with product management, product engineering, and data science to build experiences that balance innovation with responsible AI practices.
• Conduct user research and usability testing to understand user mental models, trust factors, and interaction expectations, and translate findings into roadmap and design decisions.

• 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