Key skills
PythonJavaGoAIMLLLMAgenticAWSLambdaSQSSageMakerSalesforceProblem SolvingSales
About this role
Toast creates technology to help restaurants and local businesses succeed in a digital world. They are looking for a hands-on Senior Software Engineer to join the GTM & AI Strategy Engineering team, responsible for building tools to revolutionize sales processes and integrating AI services into the tech stack.
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 complex quoting logic
- Infrastructure Integration: Develop the backend connective tissue between our custom quoting engine, Salesforce, and internal data lakes to ensure a seamless, low-latency end-to-end experience
- Technical Problem Solving: Act as a key executor to solve complex synchronization and architectural challenges across the GTM stack, ensuring systems are scalable and resilient
- Build Great Products: Deliver significant core capabilities that have broad impact; take high-level goals and turn them into sequenced, production-ready code
- Problem Solve: Anticipate shifts in product needs and build flexible, decoupled backend systems that can evolve with our AI strategy
- Deliver Quality: Ensure the reliability of GTM tools by building deep observability into every service you ship
Requirements:
- Extensive experience in backend languages (Java, Go, Python) with a track record of building complex, distributed systems
- Practical, hands-on experience building LLM agents in a production environment
- Ability to implement event-driven architectures and manage data flow across disparate systems with high integrity
- 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)
- A passion for removing 'human-in-the-loop' friction through intelligent automation