Top Remote Jobs in Brazil

The Regional Marketing Manager will execute marketing campaigns across LATAM, coordinate brand activations, manage CRM workflows, and improve execution workflows while ensuring regional relevance and brand consistency.

The Pre-Sales Specialist will support technical evaluations, demonstrate Alteryx capabilities, and develop custom solutions to drive client adoption. Responsibilities also include mentoring team members and contributing to implementation strategies.

Manage day-to-day social media engagement, community building, content scheduling, and performance analysis across global channels.

Manage end-to-end artwork and labeling development for packaging: coordinate cross-functional teams and vendors, ensure regulatory compliance, drive process improvements, supervise artwork controllers, resolve system issues, and support release, training, and KPI reporting.

The Accounting Manager will manage month-end close processes, maintain GL accuracy, improve accounting operations, and collaborate across teams to ensure timely financial reporting.

Analyze user behavior and product metrics using SQL and BI tools; design and evaluate A/B tests; build automated dashboards and ad hoc analyses; collaborate with product and data engineers to improve data workflows and drive product decisions.

Design and architect scalable software, document decisions, develop software using best practices, test code thoroughly, and manage cloud environments.

Manage and optimize LinkedIn Sales Navigator and Recruiter to generate B2B leads and source talent for healthcare and tech roles. Execute outbound outreach campaigns, create LinkedIn content, build ICP-aligned lead and candidate pipelines, track engagement and sourcing metrics, and align strategies with Sales, Marketing, and HR.

As an Applied AI Engagement Manager, you'll guide enterprise customers in implementing AI-driven decision-making solutions, ensuring project success through collaboration and strategic partnerships.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.