The Latam Field Marketing Lead is responsible for developing and executing field marketing strategies, managing regional marketing efforts, and fostering partnerships to drive growth across Latin America.

Lead the data engineering team in developing and maintaining the Snowflake data warehouse, collaborating with teams, and ensuring compliance with data regulations.

The Senior Data Engineer will develop and maintain the Snowflake data warehouse, collaborate with teams on data requirements, optimize data engineering processes, and ensure compliance with data security regulations.

The Digital Data Specialist will implement GA4, manage mobile app analytics, troubleshoot, and collaborate with teams for accurate analytics solutions.

The Principal Solutions Architect will design and implement data architectures, lead hands-on development, and drive innovation in AI/ML solutions while collaborating with stakeholders.

The AI Engineer will design, develop, and deploy scalable AI solutions, utilizing advanced AI frameworks and MLOps best practices to enhance performance and collaboration.

The Marketing Operations professional will manage marketing campaign execution, coordinate updates, support marketing managers, and enhance customer experience.

The Technical Lead will design and develop Qlik Sense applications, optimize data models, collaborate with analysts, and ensure high-quality performance and user experience in analytics solutions.

The Solutions Architect is responsible for designing marketing and platform integrations, leading a team, and solving complex data challenges in a collaborative environment.

The Lead Analyst will oversee Google Analytics implementations, ensuring accurate data tracking, resolving issues, and collaborating with cross-functional teams to meet client objectives.

The Lead Machine Learning Engineer will design and implement ML systems, manage MLOps pipelines, collaborate with teams, and ensure model scalability and efficiency.

The Solutions Architect will design scalable solutions for marketing and customer experience platforms, lead integration efforts, and mentor a technical team.

The AI Manager role involves designing and maintaining data pipelines, supporting AI-driven workflows, ensuring data quality, and troubleshooting technical issues in a multicultural team setting.

Collaborate with teams to design and implement data architecture, build pipelines, manage data, and ensure reliable data flows for business intelligence.

The Data Engineer will design and implement data architecture, optimize data pipelines using Python and SQL, and manage large data storage systems.

The Data Engineer will design and implement data architectures, build and optimize data pipelines, and manage data storage, ensuring reliable data flows and supporting analytics and reporting for clients.

The Senior Data Engineer will design end-to-end data architectures, build data pipelines, manage large-scale data storage, and ensure reliable data flows for analytics and decision-making.

As a Senior Tableau Developer, you'll manage end-to-end BI projects, develop Tableau dashboards, perform SQL data processing, and collaborate with clients to drive actionable insights.

The Data Scientist will transform financial data, automate workflows, and collaborate with Data Science and Engineering teams to improve processes.

The job focuses on optimizing ML pipelines and infrastructure in AWS, integrating features, and managing data workflows. Strong collaboration is required.