About Nash

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 across couriers, fleets, gig workers, and autonomous systems.

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.

About The Role

This is not a classic "make it pretty" design role. We're looking for a Product Designer at the intersection of UX and design engineering — someone who deeply understands users and discovers customer needs with ease, but is also technical enough to think in components, speak the language of engineers, and ship a working prototype instead of a static mock when that's the fastest path to an answer.

You'll design the tools dispatchers, ops managers, and drivers rely on every day — dense, real-time, operational interfaces — and help define what an agentic-AI-native logistics product feels like.

~70% web application, ~30% mobile

Optimized for speed: fast progress, rapid iteration, short concept-to-validation loops

Embedded with engineering teams and sales — you design with developers, and partner with sales to gather first-hand customer needs and bring them back into the product

Process mindset: Define → Build → Test → Design → Ship — we validate real, working software early, instead of the classic define → design → build → test → ship (the old double diamond)

Small design team, high ownership, direct access and customers/users.

What You'll Do

Discover and validate customer needs — interviews, feedback analysis, synthesis into design decisions

Design dense, operational web UI: dispatch workspaces, routing, agents, order management, real-time views, 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, keep quality high through implementation

What We'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: you get to the real customer problem quickly and can show how research shaped your decisions

Component-based thinking: atomic design, modern web patterns for web applications, understanding of how design maps to frontend implementation

Technical fluency — comfortable working directly with engineers, understanding constraints, 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-Haves

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)

More about Nash

Nash is the platform that powers modern logistics.

Commerce has inverted. For decades, customers came to where products and services were. Now products and services come to them, on their terms, in real time. That shift has turned every company into a logistics company, even though almost none of them were built to be one. Couriers, fleets, gig workers, parcel carriers, in-store labor, and increasingly autonomous systems all have to be coordinated in real time, against tighter windows and rising expectations, with hard-fought customer trust on the line.