Data Engineer
Own data and analytics end-to-end: architect internal systems, build metrics/dashboards, and translate customer and product signals into structured inputs for AI agents.
About the job
What You’ll Do
- Own internal metrics, dashboards, and reporting across product, GTM, and usage
- Build systems to track, analyze, and interpret key signals across the customer and product journey
- Help design and implement internal “sensors” to uncover buried insights
- Translate messy, real-world data into clean, structured inputs for our reasoning agents
- Define and evolve our analytics stack — dbt, Snowflake, Mode, etc. — with an eye toward speed and clarity
- Work cross-functionally with founders, engineering, and forward-deployed teams to prioritize and act on what matters
Who You Are
- A builder — you like owning problems end-to-end and working from first principles
- Comfortable with both SQL and Python, and fluent in the modern data stack
- Analytical by instinct — you’ve spent enough time with data to develop intuition and taste
- Bonus: background in math, physics, or quant research
- Bonus: experience working with GTM teams or building analytics for sales/product workflows
Skills
SQL, Python, dbt, Snowflake, Mode
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