工程经理
Engineering Manager
DataHub 是一家被超过 3,000 家企业采用的 AI 和数据上下文平台,包括 Apple、CVS Health、Netflix 和 Visa。DataHub 与一个拥有 13,000 多名成员的活跃开源社区共同开发,其元数据图谱提供了 AI 和数据资产的深入上下文,具备行业领先的可扩展性和可扩展性。
公司的企业 SaaS 产品 DataHub Cloud 提供了全托管解决方案,具备 AI 驱动的发现、可观测性和治理能力。组织依靠 DataHub 解决方案加速数据投资的价值实现,确保 AI 系统的可靠性,并实施统一治理,使 AI 和数据协同工作,解决数据混乱问题。
### **关于 DataHub**
### **职位描述**
DataHub 正在构建企业上下文平台,使 AI 代理可靠、准确且适合企业使用。我们是元数据和上下文管理的开源标准,拥有数千名工程师的社区,以及一些全球最数据密集型公司的部署,包括 Apple、Netflix、JP Morgan Chase、Warner Bros. Games 和 Optum。随着业务规模的扩大,我们正在寻找一名 **工程经理,数据摄入**
**汇报对象:** 工程副总裁
**紧密合作对象:** 创始人、产品、工程和跨职能领导
**地点:** 远程办公,团队成员遍布美国、欧洲和印度
**职位概述**
数据摄入是 DataHub 的入口——核心平台,从 100 多个外部系统(BigQuery、Microsoft Fabric、SageMaker、Tableau 等)中提取元数据到 DataHub。这些生态系统发展迅速,因此我们需要一位能够在模糊环境中设定清晰技术方向的领导者,同时保持平台的可扩展性、可靠性和易扩展性。
你将领导一支分布在印度、欧洲和美国西海岸的 10-11 名工程师的全球分布式团队。你将负责我们的连接器生态系统的战略。除了你的团队,你还将与开源社区和第三方密切合作进行连接器开发。这是一个对技术复杂性、规模和跨职能协作充满热情的人的高影响力职位。你的工作将直接影响客户从 DataHub 中获取价值的速度。此职位的成功需要在不同地理区域管理的经验,打造高性能团队,以及领导复杂的集成和管道工作。
**你将负责**
- **平台架构:** 主导我们数据摄入框架的演进
查看英文原文
DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility.
The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos.
### **About DataHub**
### **The Role**
DataHub is building the enterprise context platform that makes AI agents reliable, accurate, and enterprise-ready. We are the open source standard for metadata and context management, with a community of thousands of engineers and deployments at some of the world's most data-intensive companies, including Apple, Netflix, JP Morgan Chase, Warner Bros. Games, and Optum. As we scale our business, we are looking for an **Engineering Manager, Ingestion**
**Reporting to:** VP of Engineering
**Works closely with:** Founders, Product, Engineering, and cross-functional leaders
**Location:** Remote, with team members across the US, Europe, and India
**Role overview**
Ingestion is DataHub's front door - the core platform that pulls metadata from 100+ external systems (BigQuery, Microsoft Fabric, SageMaker, Tableau, and many more) into DataHub. These ecosystems evolve quickly, so we need a leader who can set clear technical direction amid ambiguity and keep the platform scalable, reliable, and easy to extend.
You’ll lead a globally distributed team of 10-11 engineers across India, Europe, and the US West Coast. You will own the strategy for our connector ecosystem. In addition to your team you will work closely with the open source community and third parties on connector development. This is a high-impact role for someone who thrives on technical complexity, scale, and cross-functional collaboration. Your work will directly determine how fast customers get value from DataHub. Success in this role requires a track record of managing across geographies, building high‑performing teams, and leading complex integration and pipeline work.
**What you’ll own**
- **Platform Architecture:** Lead the evolution of our ingestion framework to handle high-throughput ingestion of structured and unstructured metadata at enterprise scale. Evolve the Remote Executor platform that lets ingestion run securely in customer environments..
- **AI-driven time-to-Value:** Spearhead the development of intelligent, agent-based solutions. Onboarding agents that speed up new customer ramp, and troubleshooting agents that enable self-service resolution of integration failures.
- **Cross team Partnership:** Work with Product to set the strategy, and with Customer Support, Customer Success and Sales to resolve customer issues and improve stability.
- **Platform health:** Drive down technical debt and invest in developer productivity and long-term reliability.
**What success looks like**
- **Expanded Reach:** A broader, deeper connector ecosystem, built through internal engineering plus community and third-party contributions.
- **Reliability:** Fewer failures and faster resolution through proactive investment in platform stability.
- **Execution velocity:** Strong delivery without sacrificing team health or morale.
**What we’re looking for**
- Proven experience leading engineering teams in data infrastructure, platform, ingestion, or integration-heavy environments.
- Strong technical depth in distributed systems, cloud infrastructure, and scalable backend architecture.
- Experience managing globally distributed teams across time zones.
- Ability to work closely with founders, product, and cross-functional leaders.
- Comfort balancing strategy, execution, customer issues, and team development.
- Strong judgment, communication, and ownership.
**Bonus if you have**
- Experience with connectors, integrations, ETL, or metadata systems.
- Background building or scaling developer platforms, SDKs, or remote execution infrastructure.
- Experience at a fast-growing startup or high-scale data platform company.
- Familiarity with Python-based ingestion systems and cloud-native execution.
**Why this role matters**
Without Ingestion, DataHub's catalog doesn't stay complete, current, or useful. This team is what makes the platform's core promise real. DataHub is at an inflection point in a category that's becoming central to how enterprises build and govern AI, and this role has a rare chance to help shape how that category is understood by the market.
### **Why Now**
Every enterprise is scrambling to make their data AI-ready. They're discovering that traditional catalogs can't provide the context AI agents need. DataHub is positioned to own this massive shift—but only with engineering leadership that truly understands both the technical and cultural transformation required.
If you want to define how engineering teams build in the AI era while shipping the infrastructure that makes agentic workflows possible, let's talk.
**Location**: East Coast (Remote)
### **Benefits and Perks**
We invest in people so they can do their best work and enjoy doing it. Our benefits reflect the way we build: practical, thoughtful, and designed to support long-term growth.
**Competitive compensation**
We offer salaries that reflect your skills, experience, and the impact you make. You bring value—we make sure you're recognized for it.
**Equity for everyone**
Every team member receives an ownership stake in the company. When we grow, you grow with us.
**Remote Work**
All roles are remote unless otherwise specified in the job description. Review the job description to confirm if the role you are interested in is remote or hybrid.
**Location flexibility**
Home office, coworking space, or something in between? We support your ideal setup. You’ll receive a monthly coworking stipend to use whenever you need a change of pace or in-person collaboration time.
**Comprehensive health coverage**
Your well-being matters. We cover 99% of medical, dental, and vision premiums employees, and 65% for dependents.
**Flexible savings accounts**
We offer FSAs to help cover planned or unexpected healthcare costs. You can also opt into a Dependent Care FSA to support family needs.
**Support for every path to parenthood**
Through Carrot Fertility, we provide inclusive fertility benefits and family-forming support. All U.S. employees have access, regardless of age, gender identity, or family structure.
**Time off that works for you**
We trust you to take the time you need. Our unlimited PTO and sick leave policy is designed for flexibility, rest, and real life.
### **Why Join Us**
DataHub is at a rare inflection point: we’ve achieved product-market fit, earned the trust of leading enterprises, and secured backing from top-tier investors like Bessemer Venture Partners and 8VC. The context platform market is expected to grow from $1B to $9B in the next five years—and we’re leading the way.
By joining our team, you’ll:
- Tackle high-impact challenges at the heart of enterprise AI infrastructure
- Ship production systems that power real-world use cases at global scale
- Collaborate with a high-caliber team of builders who’ve scaled some of the most influential data tools in the world
- Build the next generation of AI-native data systems, including conversational agents, intelligent classification, automated governance, and more
If you're passionate about technology, enjoy working with customers, and want to be part of a fast-growing company changing the industry, we want to hear from you!