Senior Software Engineer, Retail

About the Role

The Retail organization at Toast is focused on building foundational technology to support a rapidly expanding vertical. We emphasize early learnings and remain closely aligned with our customers, engaging in frequent conversations with our initial retail partners to understand their needs, pain points, and feature requests. This direct feedback loop allows us to rapidly iterate and ensures we are building the right product for the market.

We’re looking for engineers to help make our product work for our largest customers, such as large grocery stores and convenience store chains. With their scale comes additional needs for integrations and backoffice tools beyond what the platform offers today. This team works closely with customers—expect to visit stores and talk directly with operators to deeply understand their workflows.

Responsibilities

• Work closely with engineering and product leads to identify high-impact opportunities in the domain
• Plan, scope, and prototype solutions from design to rollout, thinking about each feature as a whole across the stack
• Make technical decisions and recommendations that will lay the foundation for the future of our retail platform
• Stay in tune with customer needs by hearing direct customer feedback and staying abreast of industry trends
• Deploy AI-native experiences that delight our customers, powered by Toast IQ

Requirements

• Growth mindset with an emphasis on learning and self/team-improvement
• 6+ years experience building and shipping production software to customers
• Experience with Java, Kotlin, or other object-oriented programming languages
• Respectful, empathetic, and humble
• Passionate about making users happy and seeing people use your product in the wild
• Startup mindset and comfort with ambiguity
• Flexible in using different tech stacks and languages
• Comfortable with testing methodologies and frameworks

Interview & AI Policy

Toast uses AI tools to support recruiters and interviewers with tasks like note-taking and documentation. All hiring decisions are made by people. Candidates are asked to complete interviews and assessments on their own, without real-time AI tools, recording, or transcription bots, unless instructed otherwise in advance.