Drimva

Toast

GTM Engineer - Sales Workflow Automation, Revenue Intelligence

$94K–$192K

Remote, US +1 · Remote · Full-time · Posted Jun 1, 2026

Location
Remote, US
Huntsville, Alabama, United States
Experience
Typically 4 to 6+ years in GTM Engineering, Business Systems, Solutions or Forward Deployed Engineering, Data Engineering, or software engineering applied to sales or marketing.

About the job

Build and operate production AI agents, integrations, and data pipelines that automate Toast’s sales workflows and provide sales teams with actionable intelligence.

What you'll do

  • Build end-to-end sales workflows, including follow-ups, deal updates, tasks, and CRM and Slack notifications, with approval gates and handoffs.
  • Integrate prospecting agents with adjacent systems and turn conversation transcripts, deal data, and external signals into next best actions, risk flags, and coaching recommendations.
  • Implement production controls such as evaluations, observability, permissions, sensitive-data handling, error recovery, and rollback.

What they ask for

  • Proficiency in Python or TypeScript, strong SQL, and ability to write tested production code and debug code, including AI-generated code.
  • At least one production LLM-powered workflow or agent used by a business team, with tool calling, error handling, and evaluation.
  • Hands-on Salesforce experience with its data model, Flow, APIs, and permissions; experience with REST APIs, webhooks, authentication, and SaaS integration troubleshooting.
  • Comfort working in a data warehouse for pipeline QA, transformation, and validation; Snowflake preferred.

Nice to have

  • Experience with MCP, RAG, or evaluation frameworks; Salesforce Apex or Platform Developer certification.
  • Experience with dbt, conversation intelligence or sales engagement APIs, enrichment and signal tools, or reporting tools.

Pay

$120,000 — $192,000 USD (base salary, Zone A); $105,000 — $168,000 USD (base salary, Zone B); $94,000 — $150,000 USD (base salary, Zone C)

Tools

Python, TypeScript, SQL, Salesforce, Snowflake, Anthropic, OpenAI, LangGraph

AI focus

Build and operate LLM-powered sales agents and workflows, integrating conversation and deal data into sales actions; evaluate and monitor agent performance.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)