Teams at Multiverse

Own and optimise pod workflows supporting coaches and learners: track learner health metrics, run SQL/Metabase/Tableau analyses, maintain SOPs/Knowledge Base, execute delivery operations (breaks in learning, bookings, coach cover), coordinate kickoffs and allocations, and surface retention insights while automating processes with AI and no-code tools.

Build and own AI-native product features end-to-end: design retrieval and context strategies, integrate LLMs and tools, build evaluation frameworks, operate production systems, and mentor engineers.

Lead design and delivery of AI agent architecture and production agent systems. Define engineering standards, build integrations and APIs, translate product goals into an AI roadmap, ship end-to-end LLM-powered features, mentor engineers, and author decision records and evaluation frameworks.