Top Remote Jobs in Brazil

Partners with Latin American senior leadership to shape strategy, analyze markets and scenarios, support growth planning, facilitate executive forums, and translate insights into recommendations. Designs AI-enabled workflows, planning tools, and repeatable processes to improve decision-making and strategic execution. Requires cross-functional collaboration across countries and cultures, executive communication, analytical judgment, and regional travel.

Manage multiple Oracle E-Business Suite and Fusion Cloud engagements from discovery through go-live and hypercare. Own plans, governance, budgets, RAID management, technical deliverables, RICEFW inventories, data conversions, integrations, testing, cutover, and customer sign-off. Govern AI-generated delivery work through review gates, measure value, support pre-sales, and improve delivery standards. Lead distributed teams and senior client stakeholders while managing scope, risks, dependencies, and commercial outcomes.

Leads and builds the finance and accounting function for a vertical SaaS company. Responsibilities include monthly close, revenue recognition, budgeting, forecasting, KPI reporting, cash management, collections, tax compliance, investor relations, fundraising diligence, commission oversight, and finance systems. The role manages outsourced partners, supports US and India operations, establishes controls and policies, and provides strategic financial guidance to leadership.

Plans and executes corporate, customer, partner, trade show, and internal events end to end. Manages vendors, budgets, logistics, agendas, branded experiences, and stakeholder coordination. Measures event performance through dashboards and reports, analyzing engagement, leads, opportunities, ROI, and business impact to improve future initiatives. Supports Sales, Marketing, ABM programs, and regional market activities in a remote international environment.

Build and operate production AI/ML and GenAI solutions for global business needs. Responsibilities include solution design, predictive modeling, LLM and agent development, RAG, embeddings, vector search, data integration with Snowflake, SAP, and Salesforce, automated pipelines, deployment, monitoring, MLOps, governance, security, and continuous improvement. The role owns solutions end to end and collaborates with analysts, data engineers, architects, and business stakeholders.

Build and maintain governed data models, pipelines, connectors, and infrastructure supporting dashboards, reporting, and AI analytics. Responsibilities include dbt development, BigQuery and GCS provisioning with Terraform, RBAC and data governance, Airflow orchestration, reliability monitoring, CI/CD, and Python-based Fivetran connectors. Partner with BI analysts and business stakeholders to create trusted datasets, improve engineering standards, and automate repetitive workflows in a remote global team.

Designs and delivers AI-native solutions across business functions including People, Legal, Finance, and Operations. Responsibilities include identifying transformation opportunities, building and deploying AI agents and automated workflows, integrating enterprise systems, driving adoption, measuring business impact, applying governance and human oversight, and mentoring colleagues. The role partners with functional leaders to redesign operating models and continuously improve production AI solutions.

Designs, develops, maintains, and executes automated tests for enterprise applications, including Salesforce and Oracle E-Business Suite. Leads regression, functional, integration, and end-to-end automation; integrates tests with CI/CD pipelines and reporting tools; troubleshoots failures, assesses quality risks, supports defect resolution, and mentors QA team members on automation and quality engineering practices.

Identify and mitigate risks in AI models, applications, and data pipelines. Design AI/ML security protocols, conduct threat modeling and risk assessments, assess APIs and endpoints, monitor anomalous behavior, collaborate with technical stakeholders, produce client reports, document security practices, and develop AI security training.

Build and operate AI-native engineering workflows, agentic coding systems, evaluation frameworks, guardrails, and customer-facing AI products. Design distributed systems and LLM pipelines using TypeScript, Go, AWS, and related cloud technologies. Lead architecture, code reviews, reliability practices, and end-to-end project delivery while helping engineering teams adopt AI tools and workflows. Interview candidates, document best practices, and continuously evaluate advances in foundation models and AI development tools.