GTM Engineer - Revenue Technology (AI & Automation)

WATI.io; Guarulhos; Presencial; BRL 100 000 - 150 000; Tempo integral

Resumo da oferta

A tech company in Brazil is looking for a GTM Engineer to design and build automated systems for their revenue operations across LATAM. The role involves working with sales, marketing, and customer success teams to unify tools and data into an AI-powered engine. Candidates should have 3-6 years of experience in Revenue Operations or GTM Engineering, fluency in Spanish and Portuguese, and hands-on experience with CRM and automation tools.

Qualificações

• 3-6 years in Revenue Operations or GTM Engineering.
• Experience with building automation and AI-driven systems.
• Fluency in Spanish and Portuguese with strong English skills.

Responsabilidades

• Design and build systems to automate GTM operations.
• Transform data into actionable insights for revenue teams.
• Continuously iterate and improve systems based on feedback.

Conhecimentos

Revenue Operations

GTM Engineering

CRM Architecture

Automation systems

AI-driven systems

Strong ownership mindset

Fluency in Spanish

Fluency in Portuguese

Ferramentas

HubSpot

Intercom

Stripe

Chargebee

Zapier

SQL

Descrição da oferta de emprego

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

Qualifications

• 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