Enterprise restaurant deployments are where voice AI meets the messiness of the real world: legacy systems, high transaction volumes, operational edge cases, and technology that has to work reliably during the busiest moments of the day.
In this role, you will embed with leading restaurant brands and technology partners to make those deployments successful. You will learn how their systems work, design the integration path, write code, troubleshoot production issues, and adapt Deepgram’s platform to the constraints of live restaurant operations. You will work directly with customer engineering teams and business leaders, owning the technical path from early discovery through go-live and optimization.
Your impact will extend beyond any single customer. You will identify patterns across deployments, translate field learnings into product improvements, and build the tools, reference architectures, and playbooks that help the team deploy faster and more reliably across large restaurant fleets.
This role is for an engineer who wants direct ownership of customer outcomes and enjoys turning complex, ambiguous deployments into repeatable systems. The goal is simple: make every Deepgram for Restaurants deployment feel effortless to the customer and deliver measurable value from day one.