Teams at Neurons Lab

Build unstructured-data ingestion and context-layer pipelines for an investment group. Responsibilities include historical backfills, document parsing, entity resolution, deduplication, incremental API synchronization, embeddings, vector and graph storage, access scoping, lineage, PII protection, orchestration, monitoring, cost control, and operational runbooks.

Owns the company’s operational, financial, and execution systems so the CEO can focus on vision and growth. Responsibilities include managing executives and operations, enforcing OKRs and KPIs, overseeing the company operating system, allocating resources, managing budgets and forecasting, improving profitability and risk visibility, and managing industry partnerships. The role requires prior senior strategy consulting leadership, hands-on operating experience, P&L or budget accountability, operating-system implementation, and experience leading distributed teams.

Own the architecture and production delivery of a real-time voice AI copilot. Lead streaming speech-to-text, LLM extraction, Chrome extension integration, AWS infrastructure, latency optimization, evaluation, observability, cost control, concurrency, data isolation, monitoring, and rollback. Lead the AI engineering pod, manage client stakeholders and scope, present evidence-based results, deliver production epics, and transfer knowledge to client and internal teams.