Lead UX Designer

Billtrust US Careers

4d•$145,000 - $160,000•Hybrid

About The Position

The Lead UX Designer drives product design strategy and execution across the team, setting the standard for quality, craft, and research rigor. This role owns complex problem spaces end-to-end — from framing opportunities and validating hypotheses with users, to delivering high-fidelity, production-ready designs across web and platform experiences. The Lead UX Designer operates at the intersection of user insight, business strategy, and emerging technology. That includes designing products that incorporate AI features — conversational interfaces, predictive UI, AI error and confidence states, human-AI handoff moments — as well as using AI tools to accelerate and sharpen the design process itself. This is a role for someone who thinks in systems, leads through influence, and thrives in an environment where design decisions have real commercial consequences.

Requirements

8+ years of product design experience, with demonstrated progression into a lead or senior IC role.
Portfolio showing end-to-end ownership of complex B2B or enterprise SaaS product design — design thinking, not just visual execution.
Deep proficiency in Figma, including component libraries, auto-layout, and prototyping.
Hands-on experience with design systems — building, scaling, and governing them.
Strong research chops: usability testing, interviews, synthesis — you know when to do which and how to act on what you find.
Demonstrated data literacy: comfortable pulling and interpreting product analytics to inform and validate design decisions.
Proven ability to influence product direction and navigate stakeholder dynamics with confidence and clarity.
Familiarity with front-end principles (HTML/CSS concepts); enough to design with engineering constraints in mind.

Nice To Haves

Experience designing AI-powered product features (conversational UI, predictive interfaces, AI error/confidence states).
Hands-on use of AI design tools — generative UI, AI-assisted prototyping, synthetic user research methods, or similar.
Background designing for fintech, payments, or financial operations workflows.
Experience leading or mentoring other designers in a cross-functional product team.

Responsibilities

Drive end-to-end design for complex, multi-step SaaS products — from early-stage problem framing through high-fidelity prototyping and handoff.
Lead the creation of cross-platform user flows, interaction models, and design specifications that translate cleanly to engineering.
Design AI-native product experiences — including conversational UI, predictive features, AI output states, and human-AI interaction patterns — with the same rigor applied to any other product surface.
Leverage AI design tools and agentic workflows to accelerate exploration, generate design variations, and reduce time-to-validation.
Champion design quality across the team, establishing patterns and raising the bar on craft, consistency, and usability.
Plan and execute user research — generative and evaluative — to continuously inform product direction.
Synthesize qualitative and quantitative signals (usability studies, analytics, customer feedback, market analysis) into clear design recommendations.
Work fluently with product analytics tools (e.g., Amplitude, Mixpanel) — pull your own data, form hypotheses, and connect design decisions to measurable outcomes.
Identify friction and opportunity in existing experiences; drive validated improvements backed by evidence, not assumptions.
Frame design problems with clarity — connecting user needs to business outcomes and technical constraints.
Actively contribute to product strategy conversations; push back constructively when proposed solutions don't serve users or undermine long-term product integrity.
Collaborate cross-functionally with product, engineering, and stakeholders throughout the full design-to-delivery cycle.
Contribute to and maintain the team's design system, ensuring consistency and scalability across the product surface.
Mentor and coach junior and mid-level designers; provide structured, actionable feedback on work and process.
Model how to use AI tools thoughtfully in a design workflow — not as a shortcut, but as a multiplier for quality and speed.
Help shape team processes, critique culture, and design standards.