GTM Engineer - Revenue Technology (AI & Automation)

About Wati Started as a WhatsApp team inbox in 2020, Wati has evolved into a full revenue orchestration system that goes beyond a single platform. We empower businesses that sell, support, and grow through conversations by observing customer intent in real-time, deciding the next best revenue action, and executing it seamlessly across marketing, sales, and support—all within WhatsApp and connected messaging channels. Our Platform & AI Capabilities Wati is designed for scalability and intelligence. Our AI-native platform simplifies complex customer communication operations through a unified inbox, a robust multi-channel messaging infrastructure, and no-code automation. At the heart of our solution is Astra, our intelligent AI layer, which helps you create AI Agents for all customer interactions and all your messaging platforms. By integrating AI agents into the ecosystem, we enable businesses of all sizes to deliver measurable ROI and build deeper customer relationships. Our Backing & Partnerships Trusted by over 16,000 customers across 190+ countries, Wati is proudly backed by world-class investors including Tiger Global, Sequoia Capital, DST Global, and Shopify. As a Premium-tier Partner of Meta and Google, we maintain the highest standards of platform excellence and integration. About the Role We are looking for a GTM Engineer – Revenue Technology (AI & Automation) to design and build the systems that power our go-to-market engine across LATAM markets. You will work across Sales, Marketing, Customer Success, and RevOps to understand how GTM operates in reality (not just how it is documented), and translate that into scalable, intelligent systems. Your goal is to turn fragmented tools, workflows, and data into a unified, automated, AI-powered revenue engine, while enabling regional teams to operate faster and more effectively. What You Will Do Build & Scale GTM Systems Design and build systems to automate:Lead routing，Pipeline movement，Lifecycle workflows Sync data across CRM, billing, product, and support tools Own systems end-to-end: Discovery → Build → Rollout → Adoption → Iteration Develop Automation & Revenue Infrastructure Build sales automation workflows, account intelligence systems, and pipeline infrastructure Develop expansion and churn detection engines Create real-time signals for:Sales prioritization，Expansion opportunities，Retention risks AI & Intelligent Systems Build AI-powered systems to:Qualify and enrich leads，Detect buying signals and prioritize accounts，Surface deal risks and recommend next-best actions Automate repetitive decision-making across GTM workflows using LLMs and agents Data & Insights Transform CRM, product usage, campaign, and conversation data into actionable insights Build systems that provide real-time intelligence to revenue teams Continuously improve:Conversion rates，Speed to lead，Pipeline velocity，Sales productivity Ownership & Impact Define success metrics and own outcomes end-to-end Operate with a strong focus on measurable business impact Continuously iterate and improve systems based on performance and feedback Requirements 3–6 years in Revenue Operations, GTM Engineering, CRM Architecture, or a closely related Systems / Automation role. Experience building automation, integrations, or AI-driven systems in a SaaS or GTM environment Has personally shipped at least one LLM-powered workflow in production — that solved a real business problem. Strong understanding of:Business systems and workflows；APIs, webhooks, and automation logic Hands-on experience with:CRM platforms，Automation tools，Data systems Comfort working with messy, unstructured data and fast iteration cycles Strong ownership mindset with a focus on measurable business impact (pipeline, conversion, velocity) Builder mindset — you prefer creating systems over managing processes Ability to work remotely across time zones with global teams Fluency in Spanish and Portuguese (required), with strong English communication skills Tech Stack CRM & CX: HubSpot, Intercom Billing: Stripe, Chargebee Automation: Clay, Zapier, Make, n8n Development: JavaScript, Python, Node.js, REST APIs, Webhooks Data: SQL, BI tools, dashboards AI: LLM APIs, Prompt Engineering, AI Agents What Success Looks Like GTM operates on scalable, automated systems AI handles high-volume operational work Revenue teams operate with real-time intelligence Revenue becomes more predictable and data-driven Originally posted on Himalayas