Manager, Analytics Engineering, Data & AI Foundations

This Analytics Engineering Manager II role leads a team of analytics engineers within Core Data Science, focusing on improving data quality and velocity for data science teams. The role involves building and growing a high-performance team, developing best practices for instrumentation and experimentation, and building AI tools and analysis pipelines to provide insights at scale.

This role leads the Analytics Engineering team, building data models and pipelines to support business intelligence. The Senior Manager will oversee data infrastructure, ensure data quality, and drive analytics best practices.

The Senior Manager of Data Engineering will lead the data engineering team, building and maintaining data pipelines and infrastructure. This role involves strategic planning and technical leadership.

This Manager/Senior Manager will lead the Finance Analytics team, defining the roadmap for scalable data products, intelligent workflows, and AI-driven applications that transform Finance operations. The role involves building and mentoring a team of analysts and analytics engineers, partnering with Finance and Engineering stakeholders, and driving AI-powered transformation across financial processes. Requires a balance of strategy, execution, and people leadership.

This role leads customer success for strategic accounts in ANZ, ensuring high retention and growth. It involves managing a team, developing success plans, and collaborating with sales and product teams.

This role manages contract renewals for existing customers, ensuring timely and successful renewals. It involves negotiating terms, addressing customer concerns, and collaborating with sales and customer success teams.

This role involves coaching inbound success for LATAM customers, providing guidance on HubSpot's platform and best practices. It requires fluency in English and Portuguese and a strong understanding of inbound marketing and sales.