Top Remote Jobs in Sao Paulo

Own full-stack product features from design through release. Design and maintain GraphQL APIs with Apollo Server, backend services, data access and caching layers, database schemas, and React interfaces using TypeScript. Write unit and Cypress end-to-end tests, participate in agile ceremonies, and collaborate within a fast-moving product team. Preferred experience includes Next.js, AI-assisted development tools, Kubernetes, Terraform, and Helm.

Build and deploy production-grade agentic AI and machine learning systems, including scalable backend services, data pipelines, RAG applications, and cloud infrastructure. Collaborate with ML engineers, data scientists, and clients to discover use cases, develop AI-powered products, optimize platform performance, and support deployments. The role also involves MLOps, model monitoring and versioning, automated testing, infrastructure management, research and development, and direct client engagement.

Leads Customer Order Management teams serving assigned accounts or regions. Plans staffing and workflows, monitors performance, handles escalated customer inquiries, coordinates cross-functional issue resolution, develops process guidance, tracks improvement initiatives, manages reporting and metrics, and supports continuous improvement projects. Ensures customer service excellence, accurate order information, effective use of departmental systems and procedures, and timely resolution of recurring order management issues.

Own end-to-end enterprise sales: build pipeline, prospect strategically, manage complex deals to close, forecast accurately, advocate customer needs internally, and use AI and CRM tools to exceed revenue targets.

Develop, train, evaluate, and optimize ML solutions and data pipelines; translate business requirements into production-ready ML code; perform feature engineering, model selection, and evaluation; document work, participate in code reviews, and support testing and data issue resolution.

Own a new Latin American territory targeting AI-native companies. Generate outbound pipeline, sell Elastic’s Search AI, Security, and Observability solutions, engage technical executives, develop channel partnerships, manage complex enterprise sales cycles, negotiate multi-year commitments, maintain forecast accuracy, and expand existing accounts. The role requires enterprise SaaS or cloud sales experience, strong technical and executive credibility, MEDDPICC expertise, Portuguese and English fluency, and residence in São Paulo, Brazil.

Build and maintain payment-platform backend services for subscriptions, renewals, credits, refunds, retries, and payment events. Own webhook reliability and transaction correctness using TypeScript, event-driven processing, and automated tests. Integrate payment processors and orchestration APIs, with occasional React work supporting checkout screens. The role is hands-on, remote, and requires availability during US business hours.

Own a 0-to-1 product surface end-to-end, including vision, roadmap, specifications, shipping, metrics, and customer outcomes. Partner directly with customers on discovery, onboarding, growth reviews, and deployments. Collaborate with software, ML/AI, and data engineers on data pipelines, models, agents, and activation platforms. Prioritize customer requests, define measurable success criteria, and guide product decisions across teams and time zones.

Build and operate production software for marketing campaigns, lifecycle journeys, re-engagement automation, audience management, and customer segmentation. Develop and test APIs, maintain data synchronization pipelines, improve targeting tools, review code, resolve production issues, and contribute to system reliability. Collaborate with Product, Design, and engineering teams while progressively taking ownership of larger components. The role involves full-stack development using C#/.NET, TypeScript/JavaScript, cloud microservices, relational databases, and observability tools.

Develop and lead multi-market creator strategies for gaming brands. Manage the full influencer and streamer lifecycle, including sourcing, negotiation, briefing, activation, optimization, and performance measurement. Build scalable operating models, reporting systems, testing programs, and content guidelines. Partner with Performance, CRM, Creative, Analytics, and Product teams while ensuring platform, regulatory, and market compliance.