Data Engineer

About Actively AI Actively AI is defining a new category: Intelligence-Led Revenue. Revenue organizations have always been bottlenecked on human capacity. Reps triage which accounts get attention. Context disappears at every handoff. On any given day, the vast majority of accounts have exactly zero people thinking about them. Actively addresses this at the structural level. Our platform deploys Per-Account AgentsTM across our customers’ TAM, working 24/7 to research, identify opportunities, and advance next steps without being asked. Leading enterprises including Ramp, Ironclad, and Samsara are already making this shift. Our co-founders are former Stanford AI researchers, and the team comes from Harvard, CMU, Berkeley, Brex, Scale AI, and Google. We've raised $68M from TCV, First Harmonic, Bain Capital Ventures, First Round Capital, and more. About the Role: We're looking for someone to own data and analytics end-to-end at Actively . This isn't a narrow analyst role - you'll architect the internal systems that help us learn from every customer interaction, GTM workflow, and product signal, and make those insights actionable across the business. You'll work at the intersection of data engineering, analysis, and product thinking - building the tools that help us move fast, learn precisely, and wire insight directly into the AI agents and experiences we ship. 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 #J-18808-Ljbffr