From the listing
About the role
Nash powers logistics infrastructure for major commerce brands including Walmart, Urban Outfitters, and 7-Eleven, plus platforms like Shopify and Toast. We unify decisioning, execution, and capacity into a programmable platform for real-time, AI-native logistics orchestration.
Nash was founded in 2021 by Mahmoud Ghulman and Aziz Alghunaim. We are backed by Y Combinator, a16z, OpenAI, and other leading investors, and headquartered in San Francisco.
We're looking for a Product Designer at the intersection of UX and design engineering. You'll design dense, real-time, operational interfaces for dispatchers, ops managers, and drivers, and help define an agentic-AI-native logistics product. The role is ~70% web application and ~30% mobile, with a small design team, high ownership, and rapid iteration.
What you'll do
- Discover and validate customer needs through interviews, feedback analysis, and synthesis into design decisions.
- Design dense, operational web UI: dispatch workspaces, routing, agents, order management, real-time views, and data visualization.
- Create concepts and prototypes rapidly in Figma or in code, using AI tools (Claude, Cursor, v0, Figma Make) as a core part of your workflow.
- Prepare and run client-facing demos; present, persuade, and defend design decisions with stakeholders.
- Contribute to and evolve our design system (components, tokens, variables).
- Drive the agentic AI approach in the product experience — make AI-first workflows feel native for logistics operators.
- Work day-to-day inside engineering teams: refine scope, resolve feasibility trade-offs, and keep quality high through implementation.
- Partner with sales to gather first-hand customer needs and bring them back into the product.
What they're looking for
- 7+ years of product / UX design experience with shipped work in complex products.
- Proven B2B product experience — complex workflows, professional users, data-dense interfaces.
- Strong discovery skills: get to the real customer problem quickly and show how research shaped your decisions.
- Component-based thinking: atomic design, modern web patterns for web applications, and understanding of how design maps to frontend implementation.
- Technical fluency — comfortable working directly with engineers, understanding constraints, and reading a design token file.
- Active, daily use of LLMs and AI prototyping tools as part of your design workflow.
- Bias for fast iteration: you'd rather ship three rough rounds than one polished big-bang.
- Clear communication in English; comfortable presenting to clients; adaptable to evidence.
Nice to have
- Design systems depth: tokens, variables, theming, Figma component architecture.
- Design engineering / prototyping in code: React, Tailwind, or AI tools (v0, Cursor, Claude).
- Experience with logistics, supply chain, or ops tooling.
- Experience designing agentic AI / LLM-powered product experiences.
- Mobile design experience (iOS / Android patterns).
Benefits, as listed
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