Staff Database Engineer

About Us

Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the Team

Gather AI is at the forefront of Physical AI for intralogistics — using autonomous drones and computer vision to deliver real-time insights that digitize warehouse operations and redefine supply chain efficiency. Our interdisciplinary engineering teams are building the data and systems foundations that power intelligent, scalable solutions used across global operations. About the Role

Reporting to the engineering leadership team, the Staff Database Engineer will own the evolution of our data layer from growth-optimized foundations to enterprise-grade reliability and performance. You will define replication, scaling, latency, and governance strategies while serving as the primary authority for database operational excellence. In this role, you will shape database engineering practices for a mission-critical system, directly impacting the reliability and performance of a platform powering Physical AI in warehouse operations. You’ll work on systems supporting real-time, AI-ready data access at scale and join a high-growth, technology-driven team solving complex infrastructure challenges—making a visible, lasting impact on platform stability, product scalability, and AI-driven workloads.