Airtable

Airtable is seeking an AI Analytics Engineer to embed within their Marketing organization. The role involves building canonical data infrastructure, owning dashboards, and enabling data-driven decisions. The candidate must be genuinely AI-native, integrating AI tools into their daily workflow for tasks like writing SQL and debugging. Responsibilities include designing data models, developing dbt pipelines, building dashboards, and leading the development of tools for natural language data access and AI-assisted reporting. Requires expert SQL, dbt, BI platforms, and active daily use of AI coding tools.

Software Engineer, Data role focused on building and owning data pipelines for an AI-native platform. This includes instrumenting and measuring AI product usage, building event pipelines for AI agents, and developing AI-powered data discovery tooling like vector search. The role also involves using AI tools daily for pipeline development and debugging, and contributing to the data infrastructure that supports AI product analytics and business operations.