AI GTM Engineer

About the Position

AI GTM Engineer

Location: São Paulo, Brazil (Remote)

Employment Type: Full-time

We are looking for an AI-native builder to create, from zero, an outbound sales factory powered by AI agents - from data ingestion and lead enrichment to outreach, qualification, human handoff, and learning loops.

Your mission is to prove that outbound can become a repeatable, measurable, and scalable acquisition channel for SMB merchants. You will combine AI agents, Python, SQL, experimentation, GTM strategy, and deep customer understanding to build a system that finds the right merchants, approaches them with relevant context, learns from real conversations, and hands off qualified opportunities to humans at the right moment.

You will own the problem end-to-end: architecture, data, agent behavior, campaigns, funnel metrics, feedback loops, and scale/kill decisions.

Responsibilities

• Build AI agent workflows for outbound sales, including lead qualification, outreach, response handling, performance monitoring, and human-in-the-loop handoff.
• Connect data enrichment, lead scoring, campaign queues, CRM workflows, and feedback loops into a repeatable operating system.
• Use Python, SQL, and APIs to build tools, integrations, and automations.
• Work with BigQuery and CRM data to define ICPs, segment leads, score merchants, and monitor funnel performance.
• Run GTM experiments with clear hypotheses, control groups, metrics, and kill/scale criteria.
• Create contextual outbound journeys using merchant data, local proof points, and business relevance.
• Collaborate with Sales, Growth, Data, and Operations to turn field feedback into system improvements.
• Document prompts, specs, playbooks, experiments, and learnings.

Requirements

• Hands-on experience building AI agent workflows or advanced LLM automations.
• Strong Python skills.
• Strong SQL skills, ideally with BigQuery.
• Experience with OpenAI, LangGraph, n8n, or similar AI development tools.
• Understanding of outbound/GTM mechanics: ICP, segmentation, cadence, funnel, conversion metrics, and sales handoff.
• Ability to work with messy lead data, enrichment, scoring, deduplication, and data quality issues.
• Strong ownership and builder mindset.
• Ability to communicate clearly in Portuguese and English.

Nice to Have

• Experience with sales automation, RevOps, growth engineering, or lead generation systems.
• Experience integrating CRM systems with data pipelines and AI workflows.
• Familiarity with fintech, payments, acquiring, or SMB sales.
• Experience designing guardrails, evaluations, or anti-hallucination mechanisms for AI systems.

We Offer

• Opportunity to work in a dynamic and innovative fintech company.
• Be part of a team that is shaping the future of payments.
• Remote work options.

About the Company

At CloudWalk, we envision a future where AI empowers every field to reach new heights:

• People teams leveraging AI to transform talent acquisition and employee development.
• Marketing professionals creating data-driven, AI-powered campaign strategies.
• Customer Success teams enhancing client experiences with intelligent solutions.
• Risk analysts combining human expertise with AI to navigate complexities.
• Designers collaborating with AI to push creative boundaries.

Join us at CloudWalk, where we're not just engineering solutions; we're building a smarter, AI-driven future for payments-together.

By applying for this position, your data will be processed as per CloudWalk's Privacy Policy that you can read here in Portuguese and here in English.

We use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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