System-of-record software for private fund CFOs and finance teams
Maybern builds a structured data platform that models private fund logic so fund finance teams can replace spreadsheet-driven work. Hiring is accelerating and heavily engineering- and senior-weighted, with a React/TypeScript front end (AG Grid, React Query) over Python/Django on AWS. Job posts point to agentic product experiences and MCP expansion, suggesting AI agents are being layered on top of the fund data model.
Maybern, founded in 2021 and headquartered in New York, NY, develops software for the office of the private fund CFO. The platform represents fund structures and calculations as a computable data model, so figures stay auditable, versioned and traceable. Its users are finance and operations teams at private funds handling complex structures, investor reporting and regulatory requirements. The company is privately held, employs 51–200 people and currently hires in the United States across engineering, design, product, finance and sales.
Maybern's stack includes Python, Django, React, TypeScript, Angular, Chakra UI, AG Grid, React Query, Vite and Storybook on AWS, with Okta, Kandji and CrowdStrike for IT and security.
Yes. Engineering dominates Maybern's open roles, hiring is accelerating, and most positions are senior-level or above, all based in the United States.
Maybern is building foundational fund data modeling, automated spreadsheet reconciliation, workflow automation, agentic product experiences and MCP expansion, plus release tooling and integration testing.
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Maybern's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.