Nash runs an AI-driven logistics orchestration platform that replans deliveries continuously across fleets, carriers and fulfillment networks, built on Python, Flask, PostgreSQL and GraphQL with OpenAI in the stack. Hiring is accelerating and heavily sales-led, with a Saudi Arabia and GCC enterprise push and design work on dispatch and routing interfaces. A dense GTM toolset (Salesforce, Gong, Outreach, Apollo, HubSpot) signals an outbound enterprise motion.
Notable leadership hires: Launcher GTM Lead, Client Director
Nash is a San Francisco-based logistics software company founded in 2021, with 51–200 employees. Its platform uses AI agents to plan and execute local and last-mile delivery, adjusting plans as conditions change during the day. It serves businesses running restaurant, catering, retail, e-commerce and returns deliveries across their own fleets and third-party carriers. The company is privately held and hires in the United States, United Kingdom, Australia and Saudi Arabia.
Nash uses Python, Flask, SQLAlchemy, PostgreSQL, GraphQL, TypeScript, React and Tailwind CSS, runs on AWS (RDS, Fargate) plus GCP and Azure, monitors with Datadog, New Relic and Grafana, and uses OpenAI and Snowflake.
Yes. Sales is Nash's largest hiring area, mostly senior roles, including a Launcher GTM Lead and Client Director, with active enterprise expansion in Saudi Arabia alongside the US, UK and Australia.
Nash is scaling its enterprise sales motion, closing deals in Saudi Arabia, designing dispatch, routing and order management interfaces, building real-time data visualization, and shaping platform positioning and launch strategy.
Other companies in the same industry, closest in size
Nash's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
