Onboard and support clients using a financial data platform, troubleshoot issues, monitor document-collection workflows, and improve internal processes in collaboration with product, engineering, and client strategy teams.
Lead backend architecture and development in Python, building scalable APIs, data ingestion pipelines, event-driven systems, and AI integrations while shaping product strategy and mentoring engineers.
Lead full-stack engineering across a SaaS product, data pipelines, AI agents, and telemetry infrastructure, setting technical direction, shaping product strategy, and mentoring engineers.
Own production AI/ML systems that retrieve and structure private-market data, build reliable agentic workflows and extraction pipelines, and shape AI strategy while working with customers and mentoring teammates.
Build and own Python backend services, scalable APIs, data ingestion pipelines, and event-driven systems that power AI-driven private-market data extraction and portfolio analytics.
Build and own production AI/ML systems that retrieve and extract private-market data, validate it with audit trails, and turn unstructured documents into accurate, real-time insights.
Build and shape a Python and JavaScript SaaS platform for private-market investing, contributing across data pipelines, AI agents, telemetry, product strategy, and customer collaboration.
Audit fund financial data, improve validation and reporting workflows with AI/ML engineers, and support client onboarding and ongoing relationships while helping drive operational efficiency.
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