About Nash
Nash is building the AI layer for global logistics. Our software already powers operations for some of the largest retailers, grocery chains, and restaurant networks in the world. This isn't "AI in theory" - It's running live with major retailers, grocery chains, and restaurants powering day-to-day logistics at scale.
The Role
We're looking for an Ex-Founder/Founding Engineer who wants to build from scratch again. Someone who can turn customer pain into shipping code, move fast, and own outcomes end-to-end.
This role is a mix of building core systems and working directly with customers. Some days you'll be deep in architecture and scaling decisions; other days you'll be on the ground making sure our software actually works in real-world workflows.
What You'll Do
Take products 0 to 1, from idea to deployment
Build core infrastructure that runs global logistics
Work directly with customers - operators, CTOs, execs - to deploy solutions
Own architecture and product direction with speed and pragmatism
Who You Are
Ex-Founder/Founding engineer who's built and shipped fast before
Strong engineer (Python, PostgreSQL, production systems)
Comfortable switching between code, customers, and strategy
Biased toward speed, iteration, and ownership
Motivated to build things that touch the real world at scale
Why Join
Supply chains run the world. At Nash, you won't just be writing software - you'll be building the systems that move goods everywhere. Your code will touch real workflows at some of the biggest companies in the world.
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.
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
Top Skills
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



