Key skills
GTM Systems MasteryTechnical ComplexitySystems ArchitectureAI OperationalizationRevenue Engineering PedigreeAutomation First MindsetAIAgenticData EngineeringSnowflakeSalesforceCRMPrototypingSales
About this role
Toast creates technology to help restaurants and local businesses succeed in a digital world. They are looking for a hands-on Forward Deployment Engineer to join the AI & Strategy Engineering team, responsible for architecting and shipping production-grade AI systems that transform manual GTM processes into scalable engines.
Responsibilities:
- Hands-on Execution: Design and Ship production grade agentic solutions tailored specifically for high-velocity GTM motions
- Rapid Prototyping: Transition from ambiguous business problems to functional AI Proof-of-Concepts (PoCs) within 1–2 week sprint cycles
- Process Discovery: Embed directly with Sales, Service, and Marketing leaders to deconstruct high-friction manual workflows ripe for AI-driven transformation
- Strategic Integration: Architect the flow between LLMs and the GTM stack (Salesforce, Clay, Snowflake) with a "Golden Record" mindset to ensure data integrity at scale
- ROI Modeling: Translate technical metrics into business outcome driven metrics
- Architectural Resilience: Act as the domain expert for complex synchronization challenges, ensuring GTM systems are built for concurrency, scale, and reliability
- Accelerated Time to Value: Compress the window from "Contract Signed" to "Production AI" from months to weeks
- Technical De-Risking: Implement robust AI output guardrails using Eval Frameworks and "Human-in-the-Loop" (HITL) processes to meet company and compliance standards
- Observability & Quality: Guarantee the reliability of the revenue engine by shipping every service with deep monitoring and automated alerting
Requirements:
- Expert in CRM APIs (Salesforce) and modern data tools (Clay, Nooks, etc.). You architect event-driven triggers, not just connect apps
- Proven track record of building within complex enterprise software, such as custom quoting engines (CPQ) or deep CRM internals (Apex, LWC)
- Design event-driven, asynchronous architectures maintaining data integrity across fragmented systems
- Bachelor's or Master's degree in Computer Science, or a related technical field
- Experience building SalesTech or FinTech products with measurable impact on ARR or conversion
- Possessing AI knowledge, you collaborate with Data Engineering to productionize models within GTM workflows
- You dislike manual data entry and are passionate about designing Agentic systems that eliminate 'human-in-the-loop' friction