GTM Engineer - Sales Workflow Automation, Revenue Intelligence

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
• 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.

What will help you stand out (Nonessential Skills/Nice to Haves)

• 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.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes.