Top Remote Jobs in Sao Paulo

Owns end-to-end delivery of approved marketing campaigns and projects, including planning, scheduling, contributor coordination, publishing, quality assurance, tracking verification, documentation, and reporting preparation. The role maintains marketing calendars and project systems, resolves routine execution issues, verifies completion evidence, improves workflows, and escalates material risks. It coordinates content, creative, media, SEO, CRM, website, sales, operations, vendors, and technical partners without owning marketing strategy or specialist craft responsibilities.

Build, launch, and maintain gameplay features for Driving Empire on Roblox. Responsibilities include writing performant Roblox Lua code, designing scalable systems, translating product requirements into technical tasks, collaborating with designers and artists, monitoring live features, improving reliability and workflows, participating in code reviews, and playtesting to improve player experience.

Edit 100–140 educational, marketing, short-form, and long-form videos monthly. Create polished, conversion-focused content with advanced motion graphics, kinetic typography, transitions, sound design, and strong visual storytelling. Maintain brand standards, deliver near-final edits with minimal iterations, and work quickly across influencer-led and performance marketing content.

Develop and manage digital fundraising campaigns across LinkedIn and Google Ad Grants, including audience targeting, creative testing, SEO, landing page optimization, conversion tracking, reporting, and performance optimization. The consultant will align paid media and organic search strategies with fundraising goals, monitor donor journeys and campaign efficiency, ensure Google Ad Grant compliance, and recommend website and content improvements to increase reach, engagement, and donations.

Principal Platform Engineer responsible for architecting and building AI-enabled cloud infrastructure, primarily on AWS with Azure support. The role focuses on agentic AI platforms, cloud account and environment design, SDN micro-segmentation, centralized policy control planes, and Infrastructure as Code using OpenTofu, Terramate, Ansible, and GitHub Actions. Responsibilities also include architecture leadership, software design, requirements and release management, risk assessment, technical standards, audits, and cross-functional leadership.

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.