Currently tracking 24 active AI roles, up 72% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $94k–$368k (avg $209k).
| Title | Stage | AI score |
|---|---|---|
| GTM Engineer, Marketing Operations AI Innovation This role focuses on building AI-powered agents, automations, and workflows for marketing teams within Toast. The engineer will design, build, and deploy these systems, create evaluation frameworks, and coach marketers on AI integration. The role emphasizes hands-on building and enabling non-technical users. | Agent | 7 |
| Senior Software Engineer, Voice AI Senior Software Engineer on the Voice AI team at Toast, focusing on building and advancing restaurant Voice products. The role involves improving the core Voice AI stack, implementing LLMs and AI inference, and working on low-latency AI, audio processing, and system architecture for large-scale consumer experiences. Requires fullstack web application development experience with backend (Java/Kotlin, Python) and frontend (React) technologies, AWS, Docker, Git, and database design. | Serve |
| 7 |
| Principal Machine Learning Engineer Principal ML Engineer to build 0-to-1 internal tools for sales teams, leveraging LLMs and agentic workflows to automate tasks like account research and lead prioritization. The role involves hands-on backend engineering and ML implementation, integrating with systems like Salesforce and custom quoting engines, and delivering recommendations to sales users. Focus is on building new intelligence models and agentic systems. | AgentServe | 7 |
| Senior Manager, Data Science and Machine Learning Senior Manager, Data Science and Machine Learning at Toast, responsible for leading and influencing R&D to drive business value through innovative ML/AI solutions. The role involves collaborating with product and engineering stakeholders, shaping ML platform vision, breaking down initiatives, coaching teams, and expanding the AI product portfolio. Requires advanced degree, 5+ years of leadership experience, and proven success deploying ML in production. | Ship | 7 |