Top Tech Jobs & Startup Jobs in Fortaleza

As an Analytics Engineer, you'll refine data, build models, enable self-service analytics, and collaborate with various teams to improve customer insights.

The Senior AI Automation Engineer will collaborate with business teams to identify and implement AI and automation solutions, design applications, and optimize processes, contributing to operational efficiency.

Design, implement, and operate low-latency, high-throughput distributed infrastructure for a Layer-1 blockchain and high-performance DEX. Optimize consensus and transaction pipelines, build secure fault-tolerant cloud and containerized systems, and deliver observability, reliability, and performance engineering for production mainnet and testnet environments.

Own slide-grade analytics for PE and executive audiences by transforming Salesforce and BI outputs into polished board packs, causal commentary, reusable templates, and executive narratives. Attribute pipeline variance, produce funnel and revenue analytics, train client teams, and ensure deliverables are modular, PE-ready, and maintainable across engagements.

Manage end-to-end global payroll operations and onboarding readiness for US and LATAM, coordinate with EOR/payroll partners, resolve payroll discrepancies, support pre-sales and invoicing, and drive process and product improvements to scale payroll operations and ensure timely, accurate payments and excellent stakeholder experience.

Lead FP&A for one or more business units: build models, forecasts and budgets; monitor KPIs; prepare BU financial reports; advise leaders; mitigate financial risks; integrate data and AI tools to automate reporting and analysis.

Manage full-cycle accounting for a portfolio of hospitality clients under US GAAP: GL management, month-end close, reconciliations, financial statements, AP/AR, bank reconciliations, journal entries, and client communication. Identify discrepancies and improve processes while handling multiple client accounts independently.

Lead architecture and implementation of a scalable, extensible data ingestion platform supporting batch, streaming, and event-driven pipelines. Ensure data quality, lineage, schema evolution, observability, security, and integration with control plane and DataOps. Mentor engineers, establish best practices, and deliver high-throughput, reliable ingestion across internal and third-party sources.

Design, configure, install and integrate customized software solutions. Lead implementations, create plans and documentation, provide post-installation support and training, troubleshoot, test performance, and liaise between clients, sales, product and support teams.

Review and validate AI-generated Amazon listing content (titles, bullets, descriptions, keywords). Ensure outputs follow Amazon best practices, improve commercial effectiveness, document quality guidelines, provide feedback to product teams, monitor performance impact, and present findings to clients.