出海雷达

GTM工程师 - 销售流程自动化, 收入智能

GTM Engineer - Sales Workflow Automation, Revenue Intelligence

开发工程市场运营限定地区(需当地身份)与中国几乎无重叠,需长期倒时差
公司Toast
薪资$94,000 - $192,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求与中国几乎无重叠,需长期倒时差
用工类型permanent
发布时间2026-06-02
数据来源4dayweek.io
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:与中国几乎无重叠,需长期倒时差。

Toast 通过技术帮助餐厅和本地企业在一个数字化世界中取得成功,帮助商家运营、提升销售额、与客户互动并让员工保持快乐。

Revenue Productivity 团队正在寻找一位 GTM 工程师,负责销售自动化和收入智能,以掌控我们销售流程中的自动化层和收入智能堆栈。你将主导 3p 工具和 1p 工具的实施和优化,构建消除手动重复工作的集成,并呈现由 AI 驱动的洞察,帮助销售代表花更多时间销售,管理者更聪明地指导。

**日常职责(Responsibilities)**

- 在 Myko 上实施并迭代自动化高流量销售工作流,包括跟进序列、交易阶段更新、任务创建和 Slack/CRM 通知
- 审查当前销售流程,识别最有价值的自动化机会并制定优先级路线图
- 构建与潜在客户代理和相邻工具(报价、定价、案例创建)之间的集成,创建无缝、无接触的工作流
- 主导评估、实施和持续优化通话智能工具,作为我们的对话和交易智能平台,以及如何在交易生命周期中使用转录内容来确定代理的下一步最佳行动
- 构建连接收入智能平台与 CRM、赋能工具和报告的集成架构,确保洞察自动流向正确的利益相关者
- 主导胜败分析计划:设计数据采集流程,构建报告,并为产品、销售和管理层合成模式
- 制定第三方数据集成路线图,明确哪些外部信号(意图、新闻、公司信息变化)应被引入收入堆栈以及如何引入
- 与销售赋能团队和一线经理合作,从通话数据中呈现 AI 生成的指导建议

**你需要具备的条件(Requirements)**

- 4 年以上收入运营、销售运营或 GTM AI 工程经验,至少 2 年专注于 AI + GTM 工具的实施
- 代理构建:有设计、构建和部署 AI 代理和代理工作流的经验,真正改变实际工作,而不仅仅是使用 AI,而是与 AI 一起构建
- 强大的 SQL 技能,能够在数据仓库环境(Snowflake、BigQuery)中直接进行数据验证、转换和管道 QA
- 有在 BI 或仪表板工具中构建和管理报告基础设施的经验

查看英文原文

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](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](https://careers.toasttab.com/us-pay-zones).

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](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](https://careers.toasttab.com/locations-toast)

**People Are the Secret Ingredient in Our Recipe for Success**

At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry brings together people with a wide range of backgrounds, experiences, and perspectives, and we value that same breadth at Toast. We strive to build a culture grounded in authenticity, respect, and humility, where every Toaster has a real opportunity to grow, contribute, and do their best work—raising the bar in delivering exceptional experiences for our customers and each other.

**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](mailto:candidateaccommodations@toasttab.com).

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_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._

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