Teams at RevenueCat

Build foundational agent infrastructure for LLM-driven developer assistant: orchestration, tool execution, context management, evaluation, and trust/permissions. Ship reliable, observable backend systems, own core infra, participate in on-call, and mentor peers while launching agentic features to customers.

Proactively explore RevenueCat's data to identify product opportunities, translate ambiguous problems into analyses and production-grade predictive/descriptive models, partner with Product and Engineering to ship data-powered features (LTV prediction, experimentation, benchmarking), define statistical approaches, iterate on models in production, and communicate insights to technical and non-technical audiences.

Lead product go-to-market and adoption for developer-facing features: craft messaging for technical audiences, run lifecycle campaigns, own web pages and case studies, enable sales and internal teams, gather market insights, and execute creative projects that grow adoption and retention.