GTM Engineer (Sales Workflow Automation, Revenue Intelligence)

Join Toast, a technology company dedicated to helping restaurants and local businesses succeed in a digital world. As a GTM Engineer, you will own the automation layer and revenue intelligence stack across our sales motion. You will lead the implementation and optimization of tools, build integrations, and surface AI-driven insights to help sales representatives and managers. Additionally, you will audit the current sales process, build integration architecture, and own the win/loss analysis program. This role offers unlimited vacation, a sabbatical opportunity after five years, and various other benefits.

• Lead the implementation and optimization of third-party and first-party tools, building integrations that eliminate manual work and surface AI-driven insights.
• Audit the current sales process to identify high-value automation opportunities and build a prioritized roadmap for implementation.
• Own the win/loss analysis program, designing the data capture process, building reporting, and synthesizing patterns for product, sales, and leadership.
• Strong communicator who can translate data concepts for non-technical audiences, including senior Sales and Finance leadership
• Strong SQL skills and comfort working directly in a data warehouse environment (Snowflake, BigQuery) for data validation, transformation, and pipeline QA
• Agent building: Demonstrated experience designing, building, and deploying AI agents and agentic workflows that transformed real work not just using AI, but building with it
• Experience building and owning reporting infrastructure in a BI or dashboard tool (Tableau, Looker, Sigma, Salesforce Reports & Dashboards) with a focus on pipeline and revenue metrics
• 4+ years in Revenue Operations, Sales Operations, or GTM AI Engineering, with at least 2 years focused on AI +GTM tool implementation
• Data governance mindset: you think in systems, not fixes — you build standards, document them, and hold the line on data quality over time. Working understanding of data privacy regulations and compliance a plus
• Experience with data enrichment and identity resolution tools (ZoomInfo, Clearbit, Ringlead, Openprise, or similar)
• Experience in a high-growth SaaS or fintech environment with complex multi-product, multi-segment sales motions