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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. The Revenue Productivity team is looking for a GTM Engineer for Sales Automation and Revenue Intelligence to own the automation layer and revenue intelligence stack across our sales motion. You'll lead implementation and optimization of 3p tools and 1p tools, build integrations that eliminate manual, repetitive work, and surface AI-driven insights that help reps spend more time selling and managers coach smarter. A day in the life (Responsibilities) Implement and iterate on Myko to automate high-volume sales workflows including follow-up sequences, deal stage updates, task creation, and Slack/CRM notifications Audit the current sales process to identify the highest-value automation opportunities and build a prioritized roadmap Build integrations between prospecting agents and adjacent tools (quoting, pricing, case creation) to create seamless, no-touch workflows Lead evaluation, implementation, and ongoing optimization of call intelligence tools as our conversation and deal intelligence platform and how to use transcripts along the deal lifecycle for next best action for agents Build integration architecture connecting the revenue intelligence platform with CRM, enablement tools, and reporting to ensure insights flow to the right stakeholders automatically Own win/loss analysis program: design the data capture process, build reporting, and synthesize patterns for product, sales, and leadership Develop a 3rd-party data integration roadmap identifying which external signals (intent, news, firmographic changes) should be pulled into the revenue stack and how Partner with Sales Enablement and frontline managers to surface AI-generated coaching recommendations from call data What you'll need to thrive (Requirements) 4+ years in Revenue Operations, Sales Operations, or GTM AI Engineering, with at least 2 years focused on AI +GTM tool implementation 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 Strong SQL skills and comfort working directly in a data warehouse environment (Snowflake, BigQuery) for data validation, transformation, and pipeline QA 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
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게시일 2026. 7. 7.