Lead the end-to-end design of AI-powered experiences across multiple product lines, including agentic workflows, generative interactions, and human-in-the-loop systems
Define and evangelize UX strategy across complex problem spaces, setting design direction that influences product roadmaps and strategic priorities
Serve as a thought leader in the design of useful, usable, and desirable AI-powered products in a team environment
Chart a course for yourself and others in ambiguous situations, leading strategic thinking across teams and mentoring designers
Contribute to and shape internal design standards for AI patterns, design guidelines, evaluation criteria, and UX quality benchmarks
Translate model behaviors, data inputs, and system limitations into coherent UX patterns that drive user trust and product adoption at scale
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
Champion responsible AI principles including transparency, fairness, bias mitigation, and user empowerment across all design work
Collaborate and work cross-functionally with design, program, engineering, data science, and product teams from design concept to design solution, setting UX guidelines and creating assets to ensure bar-raising quality all the way to market
Present your solutions to design, product, engineering, and senior leadership. Synthesize and manage feedback to incorporate changes appropriately, and iterate the vision and design accordingly
Communicate design decisions with clarity, influence senior stakeholders, and guide teams through ambiguous or evolving problem spaces
Work strategically with executives and team members across the organization to drive alignment on complex, cross-organizational initiatives
Develop use cases and high-level requirements while defining UX strategy and creating user-centered designs utilizing customer feedback, market analysis, and usability findings
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 signals)
Continually iterate and evolve the way we design and learn from our customers
Demonstrate deep systems-thinking skills and comfort designing across multiple layers: UI, data inputs, model constraints, and operational workflows
Mentor and coach designers across the organization, elevating design craft and strategic thinking
Model best practices in design process, critique, and collaboration
Identify opportunities to improve design operations, tools, and processes that benefit the broader design organization
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 compliance, using AI checks alongside expert review

Requirements

Extensive design experience creating simple solutions for complex challenges
Experience designing with AI or LLM technologies, including prompt design, generative UX, and evaluating model output quality
Strong portfolio of work that illustrates your process, your level of craft, and the measurable results you have driven, with demonstrated end-to-end ownership of complex workflows
Deep understanding of model behaviors and limitations—hallucinations, confidence levels, deterministic vs. probabilistic output, and data quality impacts
Experience working across teams to synthesize feedback and input from product management, engineering, data science, and marketing
Strong interaction design skills with the ability to simplify ambiguous AI behaviors into predictable, user-centered experiences
Ability to prototype using tools such as v0, Figma Make, Cursor, Python notebooks, model sandboxes, or no-code AI orchestration tools
Hands-on experience planning and executing end-to-end user research—defining objectives, recruiting participants, moderating studies, synthesizing insights, and translating findings into roadmap and design decisions
Familiarity with Agile development methodologies in high-velocity, cross-functional teams
Confidence working in strong, passionate, fast-paced team environments
Strong time-management, multi-tasking, and prioritization skills
Critical thinking and problem-solving skills
Excellent verbal communication and presentation skills that include experience presenting and influencing senior leadership.

Benefits

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options
Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI designLLM technologiesinteraction designuser-centered designprototypinguser researchevaluative studiesdesign standardsUX strategyaccessibility design

Soft Skills

leadershipstrategic thinkingcommunicationmentoringcollaborationcritical thinkingproblem-solvingtime managementmulti-taskinginfluencing