The opportunity
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
What you'll do
Work across Product and GTM (Marketing, Sales, Customer Success, and Finance): to turn ambiguous questions and operational needs into useful metrics, models, analyses, and workflows
Build and maintain dbt models and pipelines that create trusted views of our product, customers, and business
Design clear, maintainable data models and improve the testing,: documentation, performance, and reliability of our data stack
Build dashboards and self-service reporting in Metabase and Hex, and dig: deeper when the answer requires more than a chart
Operationalize data through reverse ETL and partner with GTM Engineering on: the scoring, segmentation, automations, and internal tools that help our teams scale
Balance fast, pragmatic answers with durable solutions, recognizing when a: one-off request should become a reusable model or workflow
What they're looking for
- Find ways to leverage emerging tools, LLMs, and coding agents to accelerate: development, analysis, testing, and documentation while maintaining a high bar for correctness
- + years of experience in analytics engineering, data analytics, or data: engineering, ideally at a fast-moving software company
- Exceptional SQL and strong hands-on experience with dbt and a modern cloud data warehouse
- Track record of owning data projects end-to-end, from shaping an ambiguous: problem to shipping something people rely on
