GTM Engineer - Sales Workflow Automation, Revenue Intelligence

The GTM AI Transformation team is hiring a GTM Engineer to build the agents and automations that run inside Toast's sales motion. You'll write production code in Python against Salesforce, Snowflake, and LLM APIs, extend our sales AI platform (Myko) with custom integrations, and turn call transcripts and deal data into actions that reach reps and managers without anyone asking for them. This is a builder role. You'll own systems from prototype through production operation, and the measure of success is whether reps use what you ship and close faster because of it. You'll report to the Senior Manager of GTM AI Transformation and work day to day with sales leadership, Revenue Operations, Enablement, and Toast's Data and Engineering teams. The role is fully remote in the United States. A day in the life (Responsibilities) • Agentic workflows that automate high-volume sales work end to end: follow-up drafting, deal stage updates, task creation, and Slack and CRM notifications, with approval gates and handoffs that keep reps in control. • Integrations between our prospecting agents and adjacent systems (quoting, pricing, case creation) so a rep can go from signal to action without leaving their workflow. • Pipelines that pull conversation intelligence transcripts into Snowflake and the CRM, and services on top of them that produce next best actions, deal risk flags, and coaching recommendations for frontline managers. • The production controls around all of it: evals that catch regressions before reps see them, observability tied to pipeline and revenue outcomes, permissions and sensitive-data handling, error recovery and rollback. • A third-party signal layer (intent, news, firmographic change) that flows into account prioritization, and the win/loss data capture that tells us what's working. What you'll need to thrive (Requirements) • Proficiency in Python (TypeScript also works) and strong SQL. You write production-grade, tested code, and you can read, modify, and debug code you didn't write, including code generated by AI tools. • At least one LLM-powered workflow or agent you built that a business team used in production, built against an LLM API (Anthropic, OpenAI, or similar) or an agent framework (LangGraph, Claude Agent SDK, or similar), with tool calling, error handling, and some form of evaluation. You'll be asked to walk through it. • Hands-on Salesforce experience: data model, Flow, APIs, permissions, and what happens when an integration writes bad data at scale. • Comfort working directly in a data warehouse (Snowflake preferred) for pipeline QA, transformation, and validation. • Experience with REST APIs, webhooks, auth, and integration troubleshooting across SaaS systems. • 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. We weigh the depth of what you've shipped over the title you held. • You can explain a technical tradeoff to a sales VP and a data model to an engineer in the same week. What will help you stand out (Nonessential Skills/Nice to Haves) • MCP, RAG, or eval framework experience; you've thought about how to know whether an agent is getting better or worse. • Salesforce Apex or Platform Developer certification. • dbt or similar transformation tooling. • Experience with conversation intelligence (Gong, Chorus) or sales engagement platform APIs. • Enrichment and signal tooling (Clay, ZoomInfo, Demandbase) and what to do when the data disagrees. • Reporting in Tableau, Looker, or Sigma. • You've worked in a multi-product, multi-segment sales motion in SaaS or fintech. 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. Zone A $120,000—$192,000 USD Zone B $105,000—$168,000 USD Zone C $94,000—$150,000 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. We ask that you complete interviews and assessments on your own, without real-time AI tools, recording, or transcription bots, unless we tell you otherwise in advance. 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