Principal Product Designer, Vertical Solutions

UiPath, Inc.; Austin (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

UiPath, Inc. is seeking an experienced design leader to own the end-to-end experience for one vertical and a cross-cutting capability. You will work with PMs, engineers, and platform partners to ship workflows that empower agents and decision makers in regulated industries.

You will design for real-world contexts, ensure learnings stay legible, and drive improvements across multiple verticals with a shared capability. Prior frontend exposure and Claude Code fluency are assets.

Qualifications

• Excellent design and experience thinker with customer focus.

Responsibilities

• Own end-to-end vertical experience from queue to dashboards.
• Lead design decisions across multiple verticals with PMs and engineers.
• Build screen designs inside real work context for agents and decision makers.
• Collaborate with design teammates to ensure consistency.

Skills

Design thinking

Product ownership

Claude Code

Frontend stack

GitHub

Figma

Claude.ai

Agentic AI

Tools

Claude Code

GitHub

Figma

Claude.ai

Job description

Life at UiPath

The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.

To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.

Could that be you?

We are building a design practice where the person with the judgment is also the person who builds. Our designers work in code, move from idea to working prototype in days, and ship into the product repo alongside engineering. That is how the right experience reaches customers faster, and how we get it right in fewer passes.

About the team

Vertical Solutions is where UiPath brings agentic AI into the most demanding regulated and operationally complex industries: healthcare and life sciences, financial services, the office of the CFO, and supply chain and manufacturing. An AI decision here can shape how a claim is reviewed, how a loan is approved, how a financial close is completed, or whether an order ships. The stakes are high, and so is the bar. Regulated does not mean clunky. Our products should feel as clear and intuitive as the best consumer apps.

About the role

You will own the experience for one of our verticals, and a capability that runs across all of them. You work alongside the PM who owns the roadmap and in front of customers yourself, so you know why a workflow exists commercially, not just how it should feel.

Start with the vertical. An agent does most of the work, then hands a decision to a person who is accountable for the outcome: reviewing a claim against policy, releasing an order that is short on allocation, approving an invoice exception. You design what that person's screen is for, inside the real context they work in, and then you build it.

Now the part that spans. The rules that govern this work live in the heads of people who have done the job for fifteen years. You own the experience for how our agents learn from those people, and how that learning stays legible to whoever is accountable for it.

There is no generic version of what a fifteen-year veteran knows, so you can’t design this in the abstract. Your vertical is where it becomes real, and what you build there must hold up everywhere else. You will work with the designers who own the other verticals from the start.

You will report to the Senior Director of Design for Vertical Solutions.

What you'll own

• Your vertical end to end: the queue a reviewer starts in, the administration experiences that get a customer configured and live, and the dashboards a process owner uses to find bottlenecks.

• How our agents learn from the people who work alongside them, and how that stays inspectable by whoever is accountable for the outcome.

• The generalization path. You decide what belongs in the shared capability and what is local to your vertical. You are accountable to all the verticals, not only the one you build in.

• Direction across both. You set it and carry it with PM, engineering, and platform partners.

• Working software, and the tooling that makes the team faster. You open PRs into the product repo through standard review, so what you design is what ships.

• Business outcomes. Design here is measured against the same product metrics the team carries. You establish the baseline for your surface and are precise about what design influences.

What we’re looking for

• An excellent design and experience thinker. Knows how to work with customers on what they need, not just what they ask for. This is non-negotiable.

• Around 10 or more years owning meaningful product areas, with a consumer-grade bar you bring into a high-stakes domain.

• A strong instinct for what the experience needs. You dig into unfamiliar domains, spot the gaps early, and push quality higher rather than waiting to be told.

• You want the business context, and you go get it from PMs and customers firsthand rather than waiting for a brief.

• You build. Claude Code is your primary tool. You don’t need to be a software engineer, but you should be comfortable with a modern frontend stack and able to move quickly from idea to working prototype. Not fluent in Claude Code yet? You can learn it here if you are genuinely excited to work this way.

• You can hold your position. You can write the code, decide what should be built, and make the case for it in a room of designers, PMs, and engineers.

• You work well horizontally, designing something that serves several teams while keeping it coherent.

• Familiarity with GitHub, Figma, and Claude.ai, and comfort with ambiguity.

Nice to have

• Experience designing for AI or agentic products, especially anything involving human oversight, trust, memory, or governance.

• Experience in a regulated or operationally complex industry: healthcare, life sciences, financial services, supply chain, or manufacturing.

• Experience with knowledge systems, or any product where accumulated knowledge had to stay trustworthy over time.

• Experience building internal tools or AI-assisted workflows that other people came to depend on.