Toast is a restaurant point of sale and management system that helps restaurants improve operations, increase sales and create a better guest experience. Backed by Bessemer and GV.
About the role
Toast is looking for a hands-on Staff Software Engineer to join the GTM & AI Strategy Engineering team. In this role, you will be a primary builder of 0-to-1 tools designed to revolutionize how our sales teams operate. This isn't about maintaining legacy systems; it’s about writing the code and building the intelligence models that eliminate friction across the Go-To-Market stack.
What they're looking for
- Deep Backend Expertise: Extensive experience in backend languages (Java, Go, Python) with a track record of building complex, distributed systems
- Applied AI/ML Skills: Practical, hands-on experience building LLM agents in a production environment
- Systems Architecture: Ability to implement event-driven architectures and manage data flow across disparate systems with high integrity
- Education: Bachelor’s or Master’s degree in Computer Science, or a related technical Field
- Experience building internal "Sales Tech" or "Fintech" tools that directly impact revenue
- Familiarity with AWS data services (SageMaker, Lambda, SQS)
More about this role
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
Toast is looking for a hands-on Staff Software Engineer to join the GTM & AI Strategy Engineering team. In this role, you will be a primary builder of 0-to-1 tools designed to revolutionize how our sales teams operate. This isn't about maintaining legacy systems; it’s about writing the code and building the intelligence models that eliminate friction across the Go-To-Market stack.
As a technical lead, you will be responsible for building and productionizing agentic workflows and RAG pipelines to automate sales processes. You will integrate AI services into the tech stack while maintaining rigorous standards for observability and performance monitoring.
A day in the life (Responsibilities)
Hands-on Execution: Spend the majority of your time "hands-on-keyboard", architecting and coding high-performance backend services and ML pipelines.
- 0-to-1 Development: Build and prototype new internal products from scratch that leverage LLMs and Agentic AI to automate account research, lead prioritization, and...
Browse similar: AI jobs · AI startup jobs · Startup jobs · Remote jobs