Staff Software Engineer, GTM & AI Strategy

Job description

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.

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Responsibilities

• 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.

Requirements

• Experience building internal "Sales Tech" or "Fintech" tools that directly impact revenue.
• Familiarity with AWS data services (SageMaker, Lambda, SQS).
• A passion for removing "human-in-the-loop" friction through intelligent automation.