GTM AI Engineer (Automation & AI)

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 cod

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Job Summary As a Support Automation Engineer on the Post Sales Systems team, you will design, build, and maintain the automation and AI systems that power ClickUp's post-sales support organization. You'll be responsible for translating business workflows in Zendesk and related CX platforms into scalable, intelligent automations that reduce manual effort, improve customer experience, and free up our support team to focus on high-value interactions. This role sits at the intersection of engineering rigor and customer empathy. You'll partner closely with the Support and Success organizations, GTM Systems Leadership, and cross-functional stakeholders to automate away toil, surface insights through AI, and build systems that adapt to how support teams actually work. The kind of person who thrives here moves fast, takes full ownership of what they build, and is genuinely excited about applying AI to real operational problems. This role is a direct contributor to GTMSOE's broader mission of operational excellence across the GTM org. Key Responsibilities AI-Powered Automation Design & Development Design and build automations in Zendesk that reduce repetitive support work: ticket routing, field population, note summarization, escalation logic, and customer outreach workflows. Develop AI-driven workflows using Zendesk AI, custom LLM integrations, and ClickUp Super Agents to automate tasks like ticket summarization, sentiment analysis, knowledge base matching, and response suggestions. Architect low-code/no-code automation solutions using Workato, Zapier, and similar integration platforms to connect Zendesk w

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. Toast is looking for a hands-on Staff Software Engineer to join the GTM & AI Strategy Engineering team. In this role, you will be a primary builder of 0-to-1 tools designed to revolutionize how our sales teams operate. This isn't about maintaining legacy systems; it’s about writing the code and building the intelligence models that eliminate friction across the Go-To-Market stack. As a technical lead, you will be responsible for building and productionizing agentic workflows and RAG pipelines to automate sales processes. You will integrate AI services into the tech stack while maintaining rigorous standards for observability and performance monitoring. A day in the life (Responsibilities) Hands-on Execution: Spend the majority of your time "hands-on-keyboard", architecting and coding high-performance backend services and ML pipelines. 0-to-1 Development: Build and prototype new internal products from scratch that leverage LLMs and Agentic AI to automate account research, lead prioritization, and complex quoting logic. Infrastructure Integration: Develop the backend connective tissue between our custom quoting engine, Salesforce, and internal data lakes to ensure a seamless, low-latency end-to-end experience. Technical Problem Solving: Act as a key executor to solve complex synchronization and architectural challenges across the GTM stack, ensuring systems are scalable and resilient. Build Great Products: Deliver significant core capabilities that have broad impact; take high-level goals and turn them into sequenced, production-ready code. Problem Solve: Anticipate shifts in product needs and build flexible, decoupled backend systems that can evolve with our AI strategy. Deliver Quality: Ensure the reliability

Scale GP is Scale's enterprise Generative AI platform—APIs and infrastructure for knowledge retrieval, inference, evaluation, and intelligent automation. We power mission-critical workflows for leading enterprises, helping teams turn complex data and models into reliable, production-ready AI systems. We're building a new AI Enablement team to create the next generation of agent-powered tools that ground AI in real operational workflows. Our goal: help internal teams demystify their own workflows, then deploy agentic systems that reason over data, take action, and deliver measurable outcomes. We don't build in a vacuum. You'll use our own platform to solve real business problems internally—then selectively commercialize that same stack for customers. What we run on is what we sell. This is a 0→1 team. We're looking for a sharp, product-minded engineer who thrives in ambiguity, moves fast, and loves building systems from scratch alongside customers and cross-functional partners. You'll work closely with product, forward-deployed engineers, data scientists, and applied AI teams to turn real-world problems into scalable production solutions. If you like shipping fast, owning outcomes, and working across the stack—from polished frontends to distributed backends to LLM integrations—this role is for you. What You’ll Do Own full-stack features and projects end-to-end — from design through production deployment — within a larger product area Sample surfaces - Accounting Agents, Finance Copilots, GTM Agents, Agentic Experimentation Platforms Develop reliable backend services in Typescript/Python, work with distributed systems, data pipelines, and AI/ML infrastructure Integrate LLMs, vector databases, and agentic frameworks to power intelligent workflows Ship quickly through tight experimentation loops while maintaining high quality and reliability Adapt across the stack and learn new tools as needed to solve real problems end-to-end Ideal Experience 3+ years of full-tim

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The GTM Technology team sits within GTM Operations and owns the systems, architecture, and automation that power Plaid's go-to-market motion — Salesforce administration and platform architecture, quote-to-cash, lead-to-cash data integrity, and the evaluation and rollout of new GTM tooling, including AI and agentic tooling. We partner closely with Sales, Finance, and Engineering to make sure the systems behind revenue are accurate, scalable, and increasingly automated. We're hiring a GTM Technology Engineer to help build and maintain the technical backbone of our GTM systems. This is a hands-on engineering role for someone who can write production-quality Salesforce code (Apex, LWC, SOQL/SOSL), design clean integrations across our GTM stack (Salesforce, CPQ, contract lifecycle management, sales engagement, data warehouse, and more), and bring an AI-forward, builder mentality to how we automate and scale GTM Operations workflows. You'll work on everything from diagnosing and fixing Apex logic that drives revenue-critical fields, to building integrations that connect Salesforce with adjacent platforms, to designing and deploying AI-powered agents and automations (using LLM APIs, MCP

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Job Summary As a Business Systems Engineer on the GTM Engineering team, you will design, build, and operate the automation and AI systems that power ClickUp's Go-To-Market business — spanning core business products and the integration platforms that connect them. This role is AI-native at its core: you won't just maintain existing workflows, you'll actively advance our GTM systems with intelligent agents, LLM-powered automations, and next-generation integration patterns built on MCP, ClickUp Super Agents, and modern iPaaS tooling. You'll sit at the intersection of business systems architecture and applied AI — partnering with Sales, Finance, Revenue Operations, and fellow GTM Systems engineers to eliminate toil, accelerate revenue workflows, and build the automated, AI-augmented infrastructure the company runs on. This is a hands-on engineering role for someone deeply fluent in enterprise business systems, excited about deploying production AI, and committed to genuine ownership of the platforms they build — directly supporting GTMSOE's broader mission of operational excellence across the GTM org. Key Responsibilities AI-Native Automation & Agent Development Design and build AI-powered automations and agentic workflows across the GTM tech stack — including Salesforce, NetSuite, Workato, and MuleSoft — to eliminate manual effort and accelerate business operations. Develop and deploy ClickUp Super Agents and LLM-based automations to automate tasks such as deal data enrichment, quote generation assistance, order validation, revenue recognition triggers, and exception handling in quote-to-cash workflow