GTM AI Operations

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 7, 2026

Salary

$105K-$168K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$61,842 U.S. median for this role

Projected growth (BLS Employment Projections)

+1.9% - Slower

121% above the BLS role benchmark for operations aggregate.

Matched to SOC 11-1021 - Operations aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Operations From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Hybrid From the posting source checked Jun 20, 2026

In-office days

2 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

GTM AI Operations Boston, MA We are looking for someone in the Boston, MA area for a Hybrid work environment. Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. The Sales Operations team is looking for a GTM Engineer for Data Infrastructure & AI Intelligence to be the foundational architect of our sales data ecosystem. You'll own the integrity, structure, and intelligence layer of our CRM and data stack, ensuring every rep, manager, and executive is working from a single source of truth. You'll build the clean data foundation that powers forecasting, pipeline management, and revenue decision-making across the company. A day in the life (Responsibilities) - Conduct a comprehensive audit of the CRM and data stack, identifying duplicates, stale records, broken field mappings and data gaps - Establish and enforce data governance standards and ownership rules for core CRM objects (Accounts, Contacts, Leads, Opportunities, Activities), including field definitions, required values, and lifecycle states - Define and maintain a canonical data model and data dictionary that aligns GTM teams on consistent terminology, segmentation logic, and record hierarchy (parent/child accounts, territory assignments, etc.) - Design, build, and maintain automated deduplication, normalization, and enrichment plays that create a clean, trusted data layer across the full GTM stack - Integrate third-party enrichment providers to fill data gaps and keep account and contact records current and actionable. - Implement ongoing data health monitoring with automated alerts and

Read the full description at careers.toasttab.com. FewerJobs shows a preview and links to the original posting.