Maybern builds a unified financial and operational data platform for private fund CFOs, consolidating fund accounting, reporting, and investor transparency workflows. The stack is frontend-heavy (React, TypeScript, Chakra UI, AG Grid) paired with backend services in Python, Ruby, and Java, indicating a modern, modular architecture. Active hiring is concentrated in engineering (12 of 16 open roles), with a senior-skewed seniority mix, suggesting both feature velocity and foundational complexity — specifically the multi-project push to build accounting infrastructure from scratch while scaling onboarding and internal controls.
Maybern operates a private fund management platform for CFOs across private equity, growth equity, private credit, and real estate funds. The product unifies fragmented fund data into a single system to standardize reporting, automate manual processes, and surface real-time operational insights. The company was founded in 2021 and is based in New York with 51–200 employees. The founding team brought domain expertise from fund operations, accounting, and administration roles; the current project roadmap reflects that pedigree — onboarding workflows, complex fund structure handling, and accounting infrastructure are first-class concerns rather than afterthoughts. The platform integrates with industry tools (Carta, QuickBooks, Rippling, Ramp, Runway) and operates in a regulated environment where investor transparency and internal controls are non-negotiable.
Frontend: React, TypeScript, Chakra UI, AG Grid, React Query, React Hook Form, Vite, Storybook. Backend: Python, Ruby, Java, Django, Ruby on Rails. Infrastructure: AWS. Operations: Okta, CrowdStrike, Kandji, Rippling.
Current focus: frontend platform experiences, accounting infrastructure (built from scratch), core workflows and user engagement squads, client onboarding and configuration, 0-to-1 user-facing features, and internal enablement resources.
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.