GTM AI Operations at Toast

Toast, Inc.

Hybrid Actively hiring Posted today Verified listing
Boston, MA Posted 1 day ago $105,000–$168,000 / year
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Market check

Salary context

Below market

How this pay compares to similar roles

Similar $211k
This role $136k
$88k most similar roles pay here $266k

This role pays less than 94% of similar roles. Most pay $176,337–$246,150 — the shaded band above. At the midpoint, this role pays about $136k versus about $211k 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 45 open roles on FindRole.

Listed pay typically runs $159,000–$254,000 across 43 roles with salary data.

Most-posted roles

View all roles at Toast, Inc.

At a glance

TL;DR

The Sales Operations team at Toast is seeking a Senior GTM Engineer for Data Infrastructure & AI Intelligence to architect and maintain the integrity of our sales data ecosystem. This role involves conducting comprehensive audits, establishing data governance standards, designing automated data plays, integrating third-party enrichment providers, and building pipeline dashboards. The ideal candidate will have deep Salesforce expertise, strong SQL skills, experience with BI tools like Tableau or Looker, and a background in revenue operations. Familiarity with AI agents, ETL/ELT tooling, and modern data stacks is essential. This position requires working in a high-growth SaaS environment where complex sales motions demand robust data infrastructure to support accurate forecasting and reporting.

Skills

Salesforce SQL Snowflake Tableau dbt Fivetran Airflow ZoomInfo Clearbit Ringlead Openprise Gong Outreach Salesloft CI/CD ETL ELT

What you'll do

  • Conduct comprehensive audits of CRM and data stack to identify and resolve issues.
  • Establish and enforce data governance standards for core CRM objects.
  • Define and maintain a canonical data model and dictionary for consistent terminology.
  • Design and build automated plays for deduplication, normalization, and enrichment.
  • Integrate third-party tools to enrich account and contact records continuously.

What we're looking for

  • 8+ years experience in Revenue Operations, Sales Operations, or GTM AI Engineering
  • Deep Salesforce expertise including data modeling and field configuration at scale
  • Proven ability to design and implement end-to-end CRM data pipelines
  • Experience designing and deploying AI agents for real-world applications
  • Strong SQL skills and proficiency with data warehouse environments like Snowflake
  • Expertise in building and maintaining reporting infrastructure for pipeline metrics
  • Data governance mindset with experience in establishing standards and compliance

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