远程前端部署工程师 (Remote) at Maybern

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内容摘要

Maybern 公司正在招聘远程 Forward Deployed Engineer(前线部署工程师),该职位面向全球候选人。Maybern 正在构建用于代理式基金管理的操作系统,为私人基金管理人提供确定性的底层 guard rails 和上层 agents。全球私人基金管理着 15 万亿美元资本,并以 20% 的年增长率增长,面对日益增长的监管审查和投资者对透明度的要求,私人基金 CFO 迫切需要现代化、完全代理式的解决方案。FDE 团队直接与全球大型私人基金合作,将 Maybern 平台扩展为生产级 AI、决策支持、预测、优化、情景分析和高可靠性自动化系统,交付给管理数百亿美元资产的客户。该职位要求工程师能同时应对客户模糊性、量化建模、AI 可靠性、工作流设计和产品抽象,职业晋升阶梯明确(FDE 至 Senior FDE 至 Principal),薪酬包含基础工资、股权和最高 35% 的绩效奖金。候选人需具备 3 年以上软件工程、机器学习或前线部署技术工作经验,精通 Python、SQL、系统设计及分析型应用架构,并拥有被他人依赖的生产级 AI 部署经验(非一次性原型)。该职位核心涉及将混乱的现实世界数据转化为生产系统,包括数据提取、代理式工作流、自动化及将定制化工作提炼为可复用产品能力。

核心要点

  • Maybern 正在构建面向私人基金管理的代理式操作系统,用技术解决监管透明度和运营效率问题。
  • FDE 团队直接与全球大型私人基金合作,交付生产级 AI、预测、优化和高可靠性自动化系统。
  • 该职位的职业晋升阶梯为 FDE → Senior FDE → Principal,晋升基于绩效而非年限。
  • 35%薪酬由基础工资、股权和最高 的绩效奖金组成,旨在奖励超额表现。
  • 候选人需具备生产级 AI 系统(非原型)的构建经验,并高度关注 AI 评估、可靠性和生产部署。
  • 核心职责包括架构跨 AI、预测、优化和仿真的定制系统,并将定制工作转化为可复用的平台能力。

如果你对“AI 落地”的理解还停留在调参和拼凑 API,Maybern 这份 FDE 招聘 JD 值得你逐字精读。它不仅完整勾勒了一个顶级前线部署工程师的能力模型——从量化建模、AI 可靠性到客户模糊性管理和产品抽象,更重要的是,它揭示了一个关键趋势:高价值 AI 系统的竞争正从模型本身转向如何将 AI 可靠地编织进真实、复杂且容错率极低的业务场景。对于所有正在从实验室走向行业战场的技术人而言,这篇文章是一份极具参考价值的职业发展蓝本。

Maybern 正在构建面向私人基金管理的代理式操作系统,用技术解决监管透明度和运营效率问题。

—— 络石智能研究院 · 编辑推荐

远程前端部署工程师 (Remote) at Maybern

About the role

Maybern · Remote

Who We Are

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.

What We're Looking For

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 high-value systems that extend the Maybern platform: production AI, decision support, forecasting, optimization, scenario analysis, formalized workflow logic, and high-assurance automation. This is not a lab. Engagements are signed and running today, and the systems you build will go into production at firms managing tens of billions of dollars.

We are looking for engineers who can own real customer problems and grow fast doing it. You should be comfortable operating where customer ambiguity, quantitative modeling, AI reliability, workflow design, and product abstraction all meet. The career ladder is defined (FDE to Senior FDE to Principal), promotion follows performance rather than tenure, and compensation is built for outperformance: competitive base, equity, and a tiered performance bonus where top performers can earn up to 35%.

What You'll Do

Own forward-deployed engagements from discovery through production adoption, with your scope growing as fast as your independence earns it

Architect and build 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 the evaluation, control, and validation frameworks that make AI trustworthy when a client's business depends on the output

Work directly with senior stakeholders at sophisticated private markets firms as a trusted technical advisor

Turn messy, real-world data into production systems: extraction, agentic workflows, automation, and the QA and nuance that separate working systems from demos

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

Help define standards, technical direction, and operating practices for a function you're joining at the ground floor

Who You Are

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.

Production-AI Builder. You think past the happy path. You care how a system behaves when the data is messy, how errors get caught, and how AI holds up when someone else's business runs on it.

Driven by Outcomes. You are competitive, high-ownership, and motivated by impact and upside. You think in terms of the ROI of your work, not just the deliverable.

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

This Could Be a Great Fit If You Have…

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

A record of leading ambiguous, customer-facing technical initiatives, or clear evidence you're ready to

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

Applied AI experience with real attention to evaluation, reliability, and production deployment, meaning AI systems other people depend on, not one-off prototypes

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

Bonus Points if You Have…

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

Benefits

We offer a competitive salary + equity package, comprehensive benefits, and a flexible family-friendly work environment. Some of our perks include:

Comprehensive healthcare benefits

Maybern covers 100% of medical, dental, and vision premiums

HSA & FSA plans

Family-Friendly policies

Paid parental leave

Flexible schedule

Flexible PTO / sick leave

WFH as needed to fit your needs

401k

Ready to apply to Maybern?

Apply to Maybern

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常见问题

Maybern 的 Forward Deployed Engineer 的主要职责是什么?
主要职责包括:独立主导从发现需求到生产采纳的客户部署项目;架构并构建跨越 AI、预测、优化和决策支持的定制系统;设计连接 Maybern 平台与客户特定数据和流程的应用模式;并构建 AI 评估、控制和验证框架,以确保客户关键业务所依赖的 AI 系统具有可靠性。此外,还需将混乱的现实世界数据转化为生产系统,并识别何时将定制化工作转化为可复用的产品能力。
申请 Maybern FDE 职位需要具备哪些关键技能和经验?
核心要求包括:3 年以上软件工程、机器学习或前线部署技术工作经验,并具有主导模糊的客户技术项目的记录;深度掌握 Python、SQL、系统设计和分析型应用架构;拥有应用级 AI 的实际经验,特别强调评估、可靠性和生产部署,即交付过被他人依赖的生产级 AI 系统(非一次性原型);以及跨建模、推理、优化、仿真或决策系统的深度量化推理能力。
Maybern FDE 职位的职业发展和薪酬激励是怎样的?
职业晋升阶梯清晰,路径为 FDE → Senior FDE → Principal,晋升基于绩效而非工作年限。薪酬专为超额表现而设计,包括有竞争力的基础工资、股权,以及一个分层绩效奖金,表现最顶尖的员工可获得高达 35% 的奖金。

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