GTM Engineer – Revenue Technology (AI & Automation)

Wati is the world’s leading WhatsApp-first conversational growth platform, empowering businesses to build deeper customer relationships and accelerate revenue growth.

Trusted and loved by over 16,000 customers across 190+ countries, Wati has established itself as the premier choice for businesses leveraging WhatsApp and other messaging channels to connect with customers on their platform of choice.

In a world where real-time interactions drive growth, Wati’s story is all about business growth through conversations. At Wati, we believe that every conversation matters—whether it’s engaging a first-time prospect, nurturing a qualified lead, or deepening relationships with loyal clients.

Our platform transforms these conversations into opportunities, where strong relationships ultimately drive measurable revenue outcomes.

Our Platform

Wati is building an AI-first GTM (Go-To-Market) engine to scale revenue without scaling headcount.

We are evolving from structured growth to intelligent automation at scale, where systems, data, and AI work together to power revenue teams.

This role sits at the core of that transformation.

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.

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 systems.

Your goal is to turn fragmented tools, workflows, and data into a unified, intelligent revenue engine, while leveraging automation and AI to significantly improve team output.

What You’ll Do

• Design and build systems to automate lead routing, pipeline movement, and lifecycle workflows
• Sync data across CRM, billing, product, and support tools
• Create real-time signals for sales, expansion, and retention
• Own systems end-to-end: Discovery → Build → Rollout → Adoption → Iteration
• Build sales automation workflows, account intelligence systems, and pipeline infrastructure
• Develop expansion and churn detection engines
• 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
• 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, and sales productivity
• Define success metrics and own outcomes end-to-end

Requirements

• Experience building automation, integrations, or AI-driven systems in a SaaS or GTM environment
• Strong understanding of business systems, workflows, APIs, and automation logic
• Hands-on experience with CRM platforms, automation tools, or data systems
• Comfort working with messy 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

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