GTM AI Operations

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 SLA-driven remediation workflows so degradation is caught before it impacts reps or reporting Build and maintain pipeline dashboards, activity data models, and stage progression metrics that provide real-time visibility into revenue performance Partner with Finance and RevOps on forecasting models, ensuring underlying data is accurate, consistently defined, and reconcilable across systems (CRM, data warehouse) Serve as the authoritative data partner for QBR prep, board reporting, and ad hoc revenue analyses — bridging raw system data and executive-ready insights Partner with Sales, Marketing, and Finance stakeholders to surface data quality issues at the source, build shared accountability, and close gaps in activity capture (calls, emails, meetings) so sellers' work is accurately reflected in coverage and productivity metrics What you'll need to thrive (Requirements) 8+ years in Revenue Operations, Sales Operations, or GTM AI Engineering, with at least 2 years focused on CRM data architecture and infrastructure Deep Salesforce expertise: hands-on experience with data modeling, field configuration, validation rules, flows, and cross-object relationships at scale Demonstrated ability to design and implement end-to-end data pipelines from raw 1st party CRM data entry through normalization, enrichment, deduplication, and reporting-ready output 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). Familiarity with revenue intelligence or sales engagement platforms (Gong, Outreach, Salesloft) and their data integrations with Salesforce. Working knowledge of ETL/ELT tooling (Fivetran, dbt, Airflow) and experience building or maintaining CRM data pipelines in a modern data stack. 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 that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits. The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy. Pay Range $105,000—$168,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.