Key skills
SQLAIAgenticLookerBITableauSnowflakeBigQuerySaaSSalesforceCRMLeadershipSales
About this role
Toast creates technology to help restaurants and local businesses succeed in a digital world. 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 their sales motion, leading implementation and optimization of tools and building integrations that enhance sales workflows.
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
Requirements:
- 4+ years in Revenue Operations, Sales Operations, or GTM AI Engineering, with at least 2 years focused on AI +GTM tool implementation
- 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
- 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
- Strong communicator who can translate data concepts for non-technical audiences, including senior Sales and Finance leadership
- 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