About the role
Who We Are 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.
What We're Looking For Maybern is building a Forward Deployed Engineering team to partner with customers on sophisticated applications that extend the Maybern platform.
The team focuses on high-value systems across AI, decision support, forecasting, optimization, scenario analysis, formalized workflow logic, and high-assurance automation. We are looking for a senior engineer who can lead the hardest customer problems and help define the technical backbone of this new function. You should be comfortable operating where customer ambiguity, quantitative modeling, AI reliability, workflow design, and product abstraction all meet.
What You'll Do Lead complex forward-deployed engagements from discovery through production adoption Architect custom systems across AI, forecasting, optimization, simulation, and decision-support workflows Design application patterns that connect Maybern's platform to customer-specific logic, data, and operating processes Build evaluation, control, and validation frameworks for high-stakes outputs Serve as a trusted technical advisor to senior customer stakeholders Mentor engineers across the Forward Deployed Engineering team Identify when bespoke work should become reusable product capability or shared platform infrastructure Help define standards, technical direction, and operating practices for the function
