Staff Analytics Engineer

Responsibilities

• Build and optimize the performance of data pipelines and analytical tools for scale
• Own and evolve core platform assets, AE tooling, reusable patterns, and automation that raise the floor for every AE on the team
• Contribute to our composable agentic AE delivery system, a pipeline of AI-powered skills that automates the full delivery lifecycle from context to merged PR
• Design and maintain semantic models that serve as the trusted, reusable foundation for analytics and AI consumption across the organization
• Build internal AI agents and data-grounded tools, integrating RPC-based capabilities via MCP servers
• Design and implement cost strategies for shared data assets, pipelines, and compute usage
• Partner with stakeholders to solve business problems with technical solutions
• Build out scalable data models to analyze key parts of the HubSpot business
• Drive data observability and pipeline reliability using tools like Monte Carlo
• Lead working groups, scope requirements, and usher projects through the entire lifecycle

Languages