Engineering

Business Development

Operations

Marketing

Support

Sales

Information Technology

Quality Assurance

Finance

Physical AI platform for intralogistics and logistics operations

Chief Executive Officer

Chief ML Scientist

Gather AI Named No. 963 on the 2026 Inc. 5000 List, the Most Prestigious Ranking of America’s Fastest-Growing Private Companies

Gather AI Raises $17M to Accelerate Growth and Bring Warehouses into the Modern Era with AI-Powered Inventory Monitoring

XRC Ventures Portfolio-Gather AI

The Weekly Notable Startup Funding Report: 2/16/26

Senior/Staff Full Stack Engineer

Gather AI develops vision-powered warehouse intelligence software using autonomous drones and existing equipment to digitize supply chain workflows. The Senior/Staff Full Stack Engineer will set technical direction for platform integrations while remaining hands-on with code, infrastructure, and Kubernetes, leading enterprise-grade architecture, reliability improvements, and customer-driven engineering delivery.

Senior/Staff Full Stack Engineer (Hybrid)

Staff Autonomy Engineer (MHE Vision)

Gather AI is pioneering a new era of warehouse intelligence through its vision-powered platform that utilizes autonomous drones. The Staff Autonomy Engineer (MHE Vision) will lead the development of the autonomy software stack, focusing on perception, localization, and scanning pipelines for warehouse environments.

Director of Machine Learning

Gather AI is pioneering a new era of warehouse intelligence with innovative software that utilizes autonomous drones for real-time data capture. They are seeking a Director of Machine Learning to define the ML strategy, lead the computer vision organization, and enhance the company's ML capabilities to support their vision-powered platform.

Gather AI is developing warehouse intelligence technology using autonomous drones, computer vision, and software to digitize supply chain workflows. The Senior/Staff Full Stack Engineer will set technical direction for platform integrations while remaining hands-on with code, infrastructure, Kubernetes, reliability, and customer-facing engineering work.