Principal Forward Deployed Engineer

Maybern is transforming the way private fund managers effectively manage their funds through cutting edge technology: an operating system with deterministic guard rails underneath, agents on top. 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 more modern, fully agentic solutions to help private fund CFOs is crucial.

This is where Maybern comes in.

We are equipping fund managers with a fully agentic operating system for private fund management, 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 the operating system for agentic fund management, and Forward Deployed Engineering is where that meets the real world. Our FDE team partners directly with some of the largest private funds on the planet to build sophisticated applications that extend the Maybern platform: production AI, decision support, forecasting, optimization, scenario analysis, formalized workflow logic, and high-assurance automation.

This is not a someday roadmap. We have signed engagements running today and more closing behind them. The Principal FDE will be our most senior client-facing technical leader, sitting at the intersection of technical solutioning, customer leadership, and delivery management. You will sit across the table from CFOs and managing partners who are racing to automate their firms with AI, translate ambiguous, high-stakes problems into structured proposals, lead engagements end-to-end, and set the technical bar for a practice you'll help build and hire. Compensation is designed for outperformance: competitive base, meaningful equity, and a tiered performance bonus where top performers can earn up to 35%.

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  Lead early-stage discovery with the most senior people in private markets, translating ambiguous and sometimes contradictory needs into structured proposals, and scoping engagements across AI, forecasting, automation, decision support, and platform integration

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  Own senior client relationships end-to-end, from initial discovery through production adoption, managing scope, timeline, and expectations along the way

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  Architect production-grade AI systems that clients run their business on, not demos: agentic workflows, extraction and automation over messy real-world data, evals, optimization, simulation, and decision support, in collaboration with the engineering team

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  Support the sales motion by lending technical credibility to pre-sales conversations and helping shape and close new engagements

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  Build the practice: establish a repeatable solutioning and scoping playbook, mentor engineers across the team, help hire the bench beneath you, and identify when bespoke customer work should become reusable product capability

• 10+ years of customer-facing technical experience in consulting, enterprise software, or forward-deployed engineering, with a strong track record leading ambiguous client initiatives from discovery through delivery

• Deep strength in Python, SQL, system design, and analytical application architecture, with hands-on experience taking AI systems to production, including agentic workflows and evaluation frameworks

• Exceptional communication and stakeholder management skills, including the ability to write proposals, scope complex engagements, and manage difficult client situations

• Hands-on experience with the Snowflake AI Data Platform as a starting point for architecting data, analytics, and AI workflows

• Experience in finance, private markets, capital markets, fund administration, or enterprise decision systems

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

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

• Experience building or growing a small forward-deployed or professional services team