---
title: 'Product Designer at Nash'
canonical: 'https://feeny.ai/job/product-designer-nash-san-francisco-22dsk0tsnhq1'
type: 'job'
last_seen: '2026-09-09'
---

# Product Designer at Nash

- **Company:** Nash
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-08
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/nash/f3ab1bcb-4497-49c8-bdbb-d09776c2392f

## Job description

## 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 http://Nash.AI

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.

Nash unifies decisioning, execution, and capacity into a single programmable platform. Real-time, AI-native intelligence determines what should happen, operational control executes it, and the platform dynamically orchestrates capacity from any source: a company's own fleets, partners, or the Nash delivery network. Whether a job involves a courier, a gig driver, an internal fleet, a store employee, a technician, or an autonomous vehicle, Nash selects the right resource and manages execution through completion.

We power delivery and logistics for some of the most recognizable brands in commerce, including Walmart, Urban Outfitters, 7-Eleven, and Woolworths, alongside platforms like Shopify and Toast. Over the next decade, logistics will become as foundational to commerce as payments, cloud, and connectivity. Nash is the platform that powers it.

Nash was founded in 2021 by Mahmoud Ghulman (2x Founder, MIT) and Aziz Alghunaim (2x Founder, 2x YC, Ex-Palantir, MIT) and is backed by Y Combinator, a16z, and other top investors. We are headquartered in San Francisco.

## WHAT YOU’LL LOVE ABOUT US

✅ Early-stage, well-funded startup – directly impact the company and grow your career! ✅ Quarterly broader team on-sites to bond with teammates ✅ Competitive compensation and opportunity for equity ✅ Flexible paid time off ✅ Health, dental, and vision insurance for US employees

## About Nash

## Company Overview
- **One-liner**: Nash provides an autonomic logistics platform that unifies decisioning and execution across fleets, carriers, and fulfillment networks using self-optimizing AI agents.
- **Entity Type**: Private (Series A backed)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2021
- **Founders**: Mahmoud Ghulman (Co-Founder & CEO), Aziz Alghunaim (Co-Founder & CTO)

## Core Business
- **Primary industry**: Transportation, Logistics, Supply Chain and Storage
- **Target customers**: B2B – Enterprise retailers, grocers, healthcare providers, field services, 3PLs, and distribution companies
- **Mission or purpose statement**: "Autonomic Logistics" – continuously planning, optimizing, and self-healing delivery operations to hit business objectives.

## Products & Services
- **Nash Platform**: A unified logistics orchestration system that routes drops in real time, manages middle-mile transfers, and coordinates last-mile delivery across gig, 3PL, and own-fleet drivers.
- **Nash Context Fabric**: A live model of reality that ingests data from orders, inventory, fleets, providers, customers, and returns to enable autonomic decisioning.
- **Vertical Solutions**: Tailored modules for Healthcare (compliance-grade Rx, samples, cold-chain), Retail (same-day, BOPIS, returns), Grocery (cold-chain, batched routes), Field Services (skill-matched dispatch for technicians), Distribution (pallet-level routing, B2B windows), and Restaurants.
- **API & Platform**: Embed Nash's decisioning into third-party products via a single API, enabling custom AI agents and bespoke workflows.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total Funding – $27.9M across three rounds (Pre-Seed, Seed, Series A)
- **Notable Investors/Partners**: Andreessen Horowitz (lead in Seed and Series A), Y Combinator, OpenAI; customers include Walmart, 7-Eleven, Woolworths, Loblaws, Alto Pharmacy.
- **Growth Signals**: 67 employees (+48.9% YoY); operates in 15 countries; acquired Kosmo (March 2025); 18 active job postings (+200% YoY); 19,780 LinkedIn followers (+25.9% yearly).

## Competitive Advantages
- **Autonomic AI agents**: Self-optimizing, self-healing, self-configuring, self-protecting – continuously adapts to real-time disruptions without human intervention.
- **Single system of coordination**: Unifies routing, dispatch, fleet management, returns, and support on one platform, resolving the build-versus-buy dilemma.
- **Real-time feedback loop**: Code runs against the physical world immediately, providing a tangible, high-impact engineering challenge.
- **Enterprise traction**: Trusted by some of the world's largest retailers and grocers, with proven metrics (98.1% OTIF, 2,340 orders/sec, 87 carriers, 12,500 drivers).

## Strategic Focus
- **Autonomic Intelligence**: Building the "Logistics Singularity" where the platform holds full context across systems and orchestrates the network toward business objectives continuously.
- **Expanding verticals**: Deepening healthcare, grocery, and field service capabilities while entering new geographies (MENA, UK).
- **Agentic commerce & autonomous delivery**: Integrating drones, robots, and autonomous vehicles into the orchestration layer.

## Why Work Here
- **Impact**: Work shows up in the real world the same day – your code directly improves delivery performance for millions of orders.
- **Remote-first**: "We hire great people and trust them to work from anywhere." WFH stipend provided.
- **Compensation**: Competitive salary and equity packages comparable to San Francisco-stage startups.
- **Culture**: "Large enough to have Enterprise customers, real scale, and meaningful traction. Small enough that you own your work, move fast, and skip the bureaucracy."
- **Perks**: Unlimited PTO, comprehensive health/dental/vision, paid family leave, team events and offsites.
- **Team**: Top talent from MIT, Stanford, Uber, Palantir, Samsara, Twilio, Plaid – strong engineering and data science focus.

## Sources
1. [nash.ai](https://www.nash.ai/)
2. [nash.ai/careers](https://www.nash.ai/careers)
3. [linkedin.com/company/usenash](https://www.linkedin.com/company/usenash)
4. [nash.ai/vision](https://www.nash.ai/vision)
5. [jobs.ashbyhq.com/Nash](https://jobs.ashbyhq.com/Nash)

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