远程工作雷达

前向部署工程师

Forward Deployed Engineer

AI开发工程限定地区(需当地身份)与中国几乎无重叠,需长期倒时差
公司MongoDB
薪资$126,000 - $248,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求与中国几乎无重叠,需长期倒时差
用工类型permanent
发布时间2026-08-01
数据来源4dayweek.io
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:与中国几乎无重叠,需长期倒时差。

高级前向部署工程师(FDE)位于企业客户环境与快速发展的内部产品之间。他们直接与客户合作,设计、构建、排查故障并改进生产解决方案,并最终对帮助客户实现生产负责。

此职位适合希望从头到尾负责技术成果的工程师:理解客户正在构建的内容,交付集成,并将学习反馈到产品路线图中。

此职位将在美国(东海岸)远程办公。

#### 职责

客户成功

- 从初步调研到生产部署,作为客户项目的首要技术负责人
- 理解每个客户的技术架构、限制条件和成功定义,并推动达成该目标
- 管理期望,清晰沟通风险,并帮助客户自信地做出技术决策

技术集成

- 构建连接器、数据管道和支持工具,使平台在真实的企业环境中运行
- 编写生产级代码,排查问题,并直接在活跃的工作流中实施修复
- 在具有不同技术栈、基础设施和集成限制的客户环境中有效工作

产品反馈循环

- 精准捕捉产品反馈,包括日志、复现步骤和明确的后续路径
- 利用客户项目识别产品缺口,发现重复模式,并帮助改进产品路线图
- 清晰记录技术决策和权衡,以便产品和工程团队继续推进工作

工作流协作

- 与产品和工程团队紧密合作,将现场模式转化为可重用的产品功能
- 通过帮助推动技术设计、实现和交付,直接参与重点工作的推进
- 在压力下做出合理的工程决策,同时快速构建和迭代

项目管理

- 独立协调内部团队和客户利益相关者,确保交付顺利进行
- 向技术、业务和高管受众清晰传达信息

#### 资格要求

基本要求

- 需要5 - 8年的工程经验
- 具有实际生产环境工程经验,包括编写代码、调试故障和直接实施修复
- 工程经验在

查看英文原文

Senior Forward Deployed Engineers (FDE) sit at the intersection of enterprise customer environments and a fast-moving internal product. They partner directly with customers to design, build, troubleshoot, and improve production solutions, and they are ultimately accountable for helping customers get to production.

This role is best suited for engineers who want to own technical outcomes end to end: understanding what a customer is trying to build, shipping the integration, and feeding learnings back into the product roadmap.

This role will be based remotely in the United States (East Coast).

#### Responsibilities

Customer success

- Serve as the primary technical owner for customer engagements from initial discovery through production rollout
- Understand each customer's architecture, constraints, and definition of success, and drive toward that outcome
- Manage expectations, communicate risks clearly, and help customers navigate technical decisions with confidence

Technical integration

- Build the connectors, pipelines, and supporting tooling needed to make the platform work inside real enterprise environments
- Write production-quality code, troubleshoot issues, and implement fixes directly in active workstreams
- Work effectively within customer environments that have different stacks, infrastructure, and integration constraints

Product feedback loop

- Capture product feedback with precision, including logs, reproduction steps, and a clear proposed path forward
- Use customer engagements to identify product gaps, surface recurring patterns, and help improve the product roadmap
- Document technical decisions and tradeoffs clearly so product and engineering teams can extend the work

Workstream collaboration

- Partner closely with product and engineering teams to help turn field patterns into reusable product capabilities
- Contribute directly in focused workstreams by helping drive technical design, implementation, and delivery
- Make sound engineering decisions under pressure while building and iterating quickly

Engagement management

- Coordinate independently across internal teams and customer stakeholders to keep delivery moving
- Communicate clearly across technical, business, and executive audiences

#### Qualifications

Basic qualifications

- 5 - 8 years of engineering experience required
- Hands-on production engineering experience, including writing code, debugging failures, and implementing fixes directly
- Engineering experience in AI and agentic development
- Experience with developing and deploying software within enterprise environments
- Experience shipping production solutions at scale that customers relied on
- Experience building integrations across existing systems and infrastructure
- Strong troubleshooting and code review skills, including the ability to identify root causes and drive resolution
- Willingness and ability to travel up to 30% to customer sites as needed for on-site engagements, technical reviews, and presentations

#### Preferred qualifications

- Experience with LLMs, agent frameworks, or deploying AI systems in production
- Prior experience in an FDE or similar forward-deployed engineering role

#### About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our [Leadership Commitment,](https://www.mongodb.com/company) guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. [From employee affinity groups, to fertility assistance and a generous parental leave policy](https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb), we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. [Learn more about what it’s like to work at MongoDB](https://www.mongodb.com/blog/channel/culture), and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 2273506591

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB’s base salary range for this role in the U.S. is:

$126,000—$248,000 USD

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职能支持限定地区(需当地身份)与中国几乎无重叠,需长期倒时差

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