Senior Software Engineer, Calculations and Allocations

Maybern is transforming the way private fund managers effectively manage their funds through cutting edge technology. Maybern is founded by top engineering experts with deep knowledge of the fund management space.

Private funds manage $15T in capital and are growing at 20% YoY, but with increasing regulatory scrutiny and investor demands for transparency, the need for world class software to help private fund CFOs is crucial.

This is where Maybern comes in.

We are equipping fund managers with intuitive, flexible fund management software, enabling private investment managers to focus on what they do best: driving returns for their investors. We are backed by leading venture capital firms and a large number of strategic investors.

Maybern is an NYC based company with a strong in-office culture to drive collaboration, and we are looking to make strong additions to our team.

We're looking for a senior engineer to join our Calculations & Allocations team - the team that builds the core primitives the entire Maybern platform runs on. We own three systems: a custom expression language (MXL) that lets clients define any financial calculation without writing code, a workflow engine that orchestrates multi-step fund operations, and the allocation and waterfall models that determine how every dollar flows through a fund structure. The problems here are genuinely unusual - part language design, part financial modeling, part distributed systems. You should be someone who gets energized by building foundational abstractions that hundreds of downstream features depend on.

To thrive in this role, you must be an entrepreneurial engineer who enjoys getting into the weeds.

• →

  Extend a financial expression language: MXL is Maybern's formula system — with its own parser, execution engine, type system, and audit framework. You'll add new functions and calculation contexts, optimize execution, and build tooling that makes complex financial logic composable and debuggable

• →

  Build workflow orchestration: Fund operations involve multi-step, stateful processes — capital calls, closings, fee postings — that must execute correctly across distributed systems. You'll design the runtime that coordinates these workflows

• →

  Model fund mechanics: Allocations, waterfalls, carry calculations, equalization — the financial primitives that determine how money moves through a fund. You'll translate intricate fund structures into configurable, auditable models that work across every customer's unique setup

• Are comfortable working with server-side languages and frameworks (we're tech agnostic in interviews, but use Python and Django in practice)

• Have a solid grasp of relational databases and transactions - especially in contexts where correctness and auditability are non-negotiable

• Have experience leading systems that are highly configurable and designed to handle significant variability across use cases

• Are knowledgeable about platform/cloud technologies and distributed systems; AWS experience is a bonus

• Are obsessed with details and genuinely excited to learn the mechanics of private markets (waterfalls, allocations, fund accounting) one workflow at a time

• Have excellent written and verbal communication skills

• Thrive in high-growth, fast-paced environments and can adapt as the product and team scale

• Have experience building DSLs, formula engines, rule systems, or other user-programmable abstractions

• Have designed or worked on workflow/orchestration systems (even simple state machines count)