Forward Deployment Engineer

<p>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.</p> <p>Toast is looking for a hands-on <strong>Forward Deployment Engineer </strong>to join the <strong>AI Strategy Engineering</strong> team. In this role, you will be the primary architect of 0-to-1 solutions designed to revolutionize our GTM engine. This is not a 'maintenance' role; you will work on the front lines with our Sales, Marketing, and CS leaders to bridge the gap between frontier AI capabilities and high-impact, revenue-driving applications. You will be responsible for deconstructing complex business friction and rapidly engineering the intelligent systems that solve it.</p> <p>Collaborating closely with a Senior Technical Leader, you will architect and ship production-grade AI systems—including autonomous agents and intelligent workflows—that transform fragmented, manual GTM processes into scalable, high-conversion engines</p> <p> </p> <p><strong>A day in the life (Responsibilities) </strong></p> <ul> <li><strong>Hands-on Execution:</strong> Design and Ship production grade agentic solutions tailored specifically for high-velocity GTM motions</li> <li><strong>Rapid Prototyping:</strong> Transition from ambiguous business problems to functional AI Proof-of-Concepts (PoCs) within 1–2 week sprint cycles</li> <li><strong>Process Discovery:</strong> Embed directly with Sales, Service, and Marketing leaders to deconstruct high-friction manual workflows ripe for AI-driven transformation</li> <li><strong>Strategic Integration:</strong> Architect the flow between LLMs and the GTM stack (Salesforce, Clay, Snowflake) with a <strong>"</strong>Golden Record" mindset to ensure data integrity at scale</li> <li><strong>ROI Modeling:</strong> Translate technical metrics into business outcome driven metrics</li> <li><strong>Architectural Resilience: </strong>Act as the domain expert for complex synchronization challenges, ensuring GTM systems are built for concurrency, scale, and reliability</li> </ul> <p><strong>Engineering Outcomes</strong></p> <ul> <li><strong>Accelerated Time to Value:</strong> Compress the window from "Contract Signed" to "Production AI" from months to weeks</li> <li><strong>Technical De-Risking:</strong> Implement robust AI output guardrails using Eval Frameworks and "Human-in-the-Loop" (HITL) processes to meet company and compliance standards.</li> <li><strong>Observability Quality:</strong> Guarantee the reliability of the revenue engine by shipping every service with deep monitoring and automated alerting</li> </ul> <p> </p> <p><strong>What you'll need to thrive (Requirements)</strong></p> <ul> <li><strong>GTM Systems Mastery:</strong> Expert in CRM APIs (Salesforce) and modern data tools (Clay, Nooks, etc.). You architect event-driven triggers, not just connect apps.</li> <li><strong>Technical Complexity:</strong> Proven track record of building within complex enterprise software, such as custom quoting engines (CPQ) or deep CRM internals (Apex, LWC).</li> <li><strong>Systems Architecture:</strong> Design event-driven, asynchronous architectures maintaining data integrity across fragmented systems.</li> <li><strong>Education:</strong> Bachelor’s or Master’s degree in Computer Science, or a related technical field.</li> </ul> <p> </p> <p><strong>What will help you stand out (Nonessential Skills/Nice to Haves)</strong></p> <ul> <li><strong>Revenue Engineering Pedigree:</strong> Experience building SalesTech or FinTech products with measurable impact on ARR or conversion.</li> <li><strong>AI Operationalization:</strong> Possessing AI knowledge, you collaborate with Data Engineering to productionize models within GTM workflows</li> <li><strong>Automation First Mindset:</strong>You dislike manual data entry and are passionate about designing Agentic systems that eliminate "human-in-the-loop" friction.</li> </ul> <p data-p ... (truncated, view full listing at source)