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Actively AI in New York is seeking a data and analytics lead who will own internal metrics, dashboards, and reporting across product, GTM, and usage.
You will design systems, translate messy data into clean inputs for our reasoning agents, and evolve the analytics stack with dbt, Snowflake, and Mode, collaborating with founders and engineers. This is a hands-on, cross-functional role with impact on strategy and product direction.
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.
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.