Senior Forward Deployed Engineer

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.

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.

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  Lead complex forward-deployed engagements from discovery through production adoption

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  Architect custom systems across AI, forecasting, optimization, simulation, and decision-support workflows

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  Design application patterns that connect Maybern's platform to customer-specific logic, data, and operating processes

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  Build evaluation, control, and validation frameworks for high-stakes outputs

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  Serve as a trusted technical advisor to senior customer stakeholders

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  Mentor engineers across the Forward Deployed Engineering team

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  Identify when bespoke work should become reusable product capability or shared platform infrastructure

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  Help define standards, technical direction, and operating practices for the function

• Architect. You design application patterns that connect platform, customer logic, and data — picking the right level of rigor for the stakes.

• Customer Partner. You serve as a trusted advisor to senior customer stakeholders and translate rigor without losing precision.

• Mentor. You raise the bar on technical execution and help define the standards, tooling, and direction of the function.

• High-Standards Builder. You hold a high bar for clarity and reliability in domains where approximation isn't enough.

• 6+ years of experience in software engineering, machine learning, quantitative systems, applied research, or forward-deployed technical work with significant ownership

• Strong record of leading ambiguous, customer-facing technical initiatives

• Deep strength in Python, SQL, system design, and analytical application architecture

• Strong applied AI or ML experience, with clear attention to evaluation, reliability, and real-world deployment

• Deep quantitative reasoning across modeling, inference, optimization, simulation, statistics, or decision systems

• Excellent communication and stakeholder management

• Strong taste in balancing speed, rigor, and trust in high-stakes environments

• Familiarity with the Snowflake AI Data Platform as a strong starting point for architecting data, analytics, and AI workflows, though this is not required

• Experience designing custom applications in finance, capital markets, enterprise decision systems, or similarly complex domains

• Experience with optimization, probabilistic systems, simulation engines, or mathematical modeling platforms

• Experience with formal verification, theorem proving, formal methods, or machine-checkable logic

• Experience turning bespoke customer systems into reusable product or platform primitives

• Experience mentoring engineers and raising the bar on technical execution

• Private markets experience