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Toast Customer Success Team in Omaha
The Customer Success Team is dedicated to ensuring our customers receive maximum value from Toast so they can do what they love and thrive. Our teams are responsible for helping customers get up and running easily, delivering ongoing value and satisfaction, and providing timely issue resolution along each stage of a customer's journey. To achieve this, Customer Success is comprised of various core teams who work together each day to deliver a world class experience to our customers.
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Cloud • Fintech • Food • Information Technology • Software • Hospitality
Lead development of resilient, scalable features across Toast’s POS, backend, and frontend systems for sports, entertainment, and hospitality customers. Design, deploy, and maintain production services; lead complex reliability projects; collaborate with Product, Design, Sales, Customer Success, and other teams; build automated tests; monitor feature rollouts; and mentor engineers. The role also encourages using AI tools to improve development productivity.
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Develop Android system applications for Toast’s device management platform, focusing on background services, device policy enforcement, setup, firmware and app updates. Support new hardware and OS upgrades, expand automated testing with Robot Framework, investigate production issues, and collaborate with product, hardware, QA, and software teams. The role requires strong Android development skills in Java or Kotlin, Android architecture libraries, debugging tools, and source control.
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Build full-stack Vision AI products for restaurant operators, including backend APIs, video pipelines, AI model integrations, monitoring, and customer-facing interfaces. Own platform components, contribute to architecture, collaborate across product and engineering teams, and use AI-assisted development tools. The role requires production software experience, cloud infrastructure expertise, event-driven systems knowledge, and comfort working across backend, frontend, data pipelines, and machine learning integrations.
