AI-Native Growth & Builder

CloudWalk, Inc.

São Paulo

Presencial

BRL 250 000 - 480 000

Tempo integral

Há 6 dias
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Resumo da oferta

CloudWalk is seeking an AI-native builder to create from zero the infrastructure and systems behind an AI-powered growth engine for our payments platform. You will design end-to-end architecture, data flows, and agent behavior to scale xsell and lifecycle initiatives.

You will work with Growth, Product, Data, and Engineering to turn behavioral signals into repeatable, measurable revenue, using Python, SQL, and APIs, with experimentation and clear kill/scale decisions.

Qualificações

  • Specialist-level experience in Growth, fintech, banking, SaaS, or high-volume digital businesses.
  • Track record building infrastructure, tools, or systems used by other teams.
  • Hands-on experience building AI agent workflows or advanced LLM automations.
  • Strong SQL skills, ideally with BigQuery.
  • Experience with OpenAI, Claude, Cursor, or similar AI tools.
  • Experience with orchestration tools like LangGraph, n8n, and Python.
  • Understanding of growth mechanics: propensity, segmentation, funnels, incrementality.
  • Ability to work with messy behavioral and transactional data, including scoring and data quality.
  • Strong ownership and builder mindset.
  • Clear communication in Portuguese and English.

Responsabilidades

  • Design and build core infrastructure powering xsell and lifecycle growth, creating reusable systems.
  • Build AI agent workflows for xsell and lifecycle, including scoring, offer selection, journey decisions, and handoffs.
  • Integrate behavioral data, propensity models, segments, and feedback into a repeatable OS.
  • Use Python, SQL, and APIs to create tools, integrations, and automations turning behavior into growth decisions.
  • Collaborate with Growth, Product, Data, and Engineering on segments, propensity, and funnel monitoring.
  • Run growth experiments with hypotheses, controls, metrics, and kill/scale criteria.
  • Document prompts, specs, playbooks, experiments, and learnings for team-wide use.

Conhecimentos

AI Agent Workflows
SQL & BigQuery
Python
OpenAI/Claude
Growth Engineering
Portuguese/English
Ownership Mindset

Ferramentas

LangGraph
n8n
APIs

Descrição da oferta de emprego

About CloudWalk

We are not just another fintech unicorn. We are a pack of dreamers, makers, and tech enthusiasts building the future of payments. With millions of customers and a hunger for innovation, we're now expanding our neural network - literally and metaphorically.

This is not a traditional Growth, CRM, Lifecycle Marketing, or Marketing Ops role.

We are looking for an AI-native builder to create, from zero, the infrastructure and systems behind an AI-powered growth engine for InfinitePay's existing customer base — from behavioral data and propensity modeling to opportunity scoring, journey decisions, and continuous learning loops. You won't just run growth initiatives; you'll build the systems that let the whole Growth team run them, faster and with less manual work.

Your mission is to prove that xsell and lifecycle can become a repeatable, measurable, and scalable revenue channel, powered by AI agents rather than manual campaign work. You will combine AI agents, Python, SQL, experimentation, and deep customer understanding to build a system that identifies the right opportunity for the right customer at the right moment, learns from real behavior, and continuously improves itself.

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

What You'll Do
  • Design and build the core infrastructure and systems that power xsell and lifecycle growth for the team — not one-off campaigns, but reusable structures others can plug into.
  • Build AI agent workflows for xsell and lifecycle, including opportunity scoring, offer selection, journey decisions, and human handoff when needed.
  • Connect behavioral data, propensity models, customer segments, and feedback loops into a repeatable operating system.
  • Use Python, SQL, and APIs to build tools, integrations, and automations that turn customer behavior into growth decisions.
  • Work with product and behavioral data to define segments, score xsell/lifecycle propensity, and monitor funnel performance.
  • Run growth experiments with clear hypotheses, control groups, metrics, and kill/scale criteria.
  • Design contextual xsell and lifecycle logic using customer usage data, financial behavior, and business relevance.
  • Collaborate with Growth, Product, Data, and Engineering to turn behavioral signals into system improvements.
  • Document prompts, specs, playbooks, experiments, and learnings so the systems you build can be used and extended by the rest of the team.
What You Need to Succeed
  • Specialist-level experience in Growth, applied to fintech, banking, SaaS, or high-volume digital businesses.
  • Track record of building infrastructure, tools, or systems that other teams rely on — not just running individual initiatives.
  • Hands-on experience building AI agent workflows or advanced LLM automations.
  • Strong SQL skills, ideally with BigQuery.
  • Experience with OpenAI, Claude, Cursor, or similar AI development tools.
  • Experience with orchestration tools such as LangGraph, n8n plus Python, or equivalent systems.
  • Understanding of growth mechanics: propensity, segmentation, funnels, incrementality, and conversion metrics.
  • Ability to work with messy behavioral and transactional data — scoring, deduplication, and data quality issues.
  • Strong ownership and builder mindset.
  • Ability to communicate clearly in Portuguese and English.
Nice to Have
  • Experience with growth engineering, or lifecycle/retention systems.
  • Experience integrating CRM or data platforms with AI workflows.
  • Familiarity with fintech, payments, or SMB customer behavior.
  • Experience designing guardrails, evaluations, or anti-hallucination mechanisms for AI systems.
  • Portfolio showcasing AI-powered growth projects with measurable impact on revenue, retention, or engagement.
The Future We See

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.

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