Manager, Analytics Engineering, Data & AI Foundations

Overview

Manager of Analytics Engineering within HubSpot’s Data & AI Foundations team, leading Analytics Engineers who build shared data foundations and AI-enabled workflows.

What you'll do

• Lead and develop a team of Analytics Engineers, including hiring, coaching, performance management, and career development.
• Define the team’s vision and operating model, translating team goals into a roadmap and success measures.
• Partner with Analytics Engineering managers to identify opportunities across composable agents, semantic models, shared data assets, and developer tooling.
• Collaborate with analysts and analytics committees to incorporate feedback into platform strategy and delivery.
• Review architecture and implementation approaches, set scalable standards, and ensure solutions are robust and reusable.
• Prioritize cross-functional initiatives by defining objectives, sequencing, responsibilities, and resource allocation.

What you'll need

• Experience leading and developing Analytics Engineers (or similar technical data professionals), including hiring, coaching, performance management, and career development.
• Ability to define a vision and translate it into a practical strategy, roadmap, and operating model.
• Strong understanding of analysts’ workflows and the role of shared data assets, tooling, and standards in scaling quality.
• Proficiency with SQL, data modeling, ETL, ELT, and modern data tools such as Snowflake, dbt, and Looker.
• Hands-on dbt experience, including scalable modeling patterns, testing, macros, and development workflows.
• Experience with AI-assisted development and agentic workflows (e.g., Claude Code, AI agents, MCP integrations).

Details

• Location: Remote - USA.
• Remote employees are required to attend a regional HubSpot office for in-person onboarding.