Teams at WISEcode

Lead the Intelligence platform roadmap and run cross-functional programs linking science, data, mobile, and partner projects. Translate scientific scoring logic into product requirements, manage partner engagements, run agile ceremonies, document decisions, define acceptance criteria for AI/LLM features, and drive production deployment of scoring fixes and model updates.

Lead WISEcode’s data platform and engineering teams to build AI-native, secure, observable data products. Replace single-gatekeeper deploys, enforce gold-by-code quality, implement medallion architecture, enable secure AI-friendly data access, and run automated agentic pipelines while managing data engineering ICs.

Own the end-to-end consumer lifecycle from install through activation, engagement, subscription conversion, retention, and support. Build onboarding, messaging (email/push/in-app), AI-first support, cohort/churn analysis, dashboards, and scalable tooling integrations to improve DAU/MAU, D1/D7/D30 retention, LTV, ARPU, churn, and free-to-premium conversion.