GTM Engineer, Sales Workflow Automation, Revenue Intelligence

Toast, Inc.

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$120,000–$192,000 / yr
Posted
147 days ago
Freshness
Confirmed live yesterday
Closes
Jan 22, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $198k
This role $156k
$106k $250k
below market most similar roles pay here above market

This role pays less than 76% of similar roles. Most pay $160,050–$236,128 — the blue band above. At the midpoint, this role pays about $156k versus about $198k for comparable roles.

Based on 240 similar postings.

Employer

About Toast, Inc.

Toast is a cloud-based restaurant management platform providing point-of-sale, payment processing, and operations software for the food service industry.

Toast, Inc. currently has 26 open roles on FindRole.

Listed pay typically runs $193,000–$309,000 across 26 roles with salary data.

Most-posted roles

View all roles at Toast, Inc.

At a glance

TL;DR · GTM Engineer, Sales Workflow Automation, Revenue Intelligence

JOB TITLE: GTM Engineer - Sales Workflow Automation, Revenue Intelligence The GTM AI Transformation team is seeking a GTM Engineer to build agents and automations for the sales motion. You will write production code to extend the Myko sales AI platform, turning call transcripts and deal data into automated actions like follow-up drafting, task creation, and CRM notifications. You will own systems from prototype to production, ensuring reps can move from signals to actions seamlessly. Key technologies include Python, TypeScript, SQL, Snowflake, and LLM APIs such as Anthropic or OpenAI. You must have hands-on experience with Salesforce, REST APIs, and agent frameworks like LangGraph. This role solves the problem of high-volume manual sales work by creating automated pipelines for conversation intelligence, deal risk flags, and account prioritization.

What you'll do

  • Write production-grade Python code to build agents and automations for the sales motion.
  • Develop agentic workflows to automate follow-up drafting, deal updates, and CRM notifications.
  • Build integrations between prospecting agents and systems for quoting, pricing, and case creation.
  • Create pipelines to ingest conversation transcripts into Snowflake and the CRM for action generation.
  • Implement production controls including evals, observability, permissions, and error recovery.
  • Develop a third-party signal layer to flow intent and news into account prioritization.
  • Manage the full lifecycle of systems from initial prototype through production operation.

What we're looking for

  • Proficiency in Python (TypeScript also works) and strong SQL to write production-grade, tested code.
  • Experience building at least one LLM-powered workflow or agent for a business team using an LLM API or agent framework.
  • Hands-on experience with Salesforce data models, Flows, APIs, and permissions.
  • Experience with REST APIs, webhooks, authentication, and integration troubleshooting across SaaS systems.
  • Comfort working directly in a data warehouse (Snowflake preferred) for pipeline QA, transformation, and validation.
  • Typically 4 to 6+ years in GTM Engineering, Business Systems, Solutions, Data Engineering, or software engineering applied to sales or marketing.
  • Ability to explain technical tradeoffs to sales leadership and data models to engineers.
  • Salesforce Apex or Platform Developer certification (preferred).

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