GTM Engineer – Sales Workflow Automation, Revenue Intelligence

Toast

GTM Engineer for Sales Automation and Revenue Intelligence at Toast. Leading AI tools implementation and integration to optimize sales processes and enhance productivity.

Posted 6/1/2026full-timeRemote • Alabama • 🇺🇸 United StatesMid-LevelSenior💰 $120,000 - $192,000 per yearWebsite

Tech Stack

Tools & technologies

BigQuerySQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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
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.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLAI agent designdata validationdata transformationpipeline QAreporting infrastructuredata governancedata qualitydata privacy regulationsrevenue metrics

Soft Skills

strong communicatortranslating data conceptscollaborationleadershipanalytical thinkingproblem-solvingorganizational skillsprioritizationcoachingsynthesis of patterns