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.
DataHub is the leading AI & Data Context Platform, trusted by more than 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Built with the strength of an open-source community of 13,000+ members, our metadata graph technology provides unmatched scalability, extensibility, and in-depth visibility into AI and data assets.
Our SaaS offering, DataHub Cloud, delivers AI-powered discovery, observability, and governance — empowering organizations to accelerate time-to-value, ensure AI reliability, and bring order to data chaos.
We’re growing fast, and we’re looking for people who are as customer-obsessed as they are technically strong.
The RoleWe are seeking a gifted and resourceful Customer Centric Engineer (CCE) to serve as the bridge between our customers and Engineering teams. This is beyond traditional support — it’s a hybrid role where you’ll provide advanced troubleshooting, help guide onboarding, and partner with Engineering and Product teams to shape both the customer experience and the evolution of DataHub itself.
What You’ll Do- Provide advanced technical support to our growing customer base via multiple channels (Zendesk, Zoom, Slack).
- Troubleshoot complex issues spanning software configuration, networking, and integrations — including analyzing logs, reproducing issues, and debugging code.
- Ensure our customers achieve fast and lasting success with DataHub.
- Act as a trusted advisor, helping customers optimize their usage and proactively address gaps or inefficiencies.
- Collaborate with product, engineering, and ingestion teams to resolve escalations and improve product functionality.
- Monitor customer health metrics and advocate internally (alongside our Customer Success team) for improvements based on customer feedback.
- Contribute to customer-facing resources: FAQs, troubleshooting guides, training materials, and knowledge base articles.
- Continuously expand your technical skill set through training, certifications, and self-directed learning.
- 5+ years of experience in software engineering, data engineering, or supporting complex enterprise applications.
- Expertise and understanding of Python; general understanding of frontend technologies like React, TypeScript, JavaScript, etc.; experience with data pipelines, ELT processes, and the modern data stack.
- Proficiency with SQL and enterprise data platforms such as Snowflake, BigQuery, dbt, Airflow, Tableau, or Looker.
- Solid understanding of networking, system architectures, and cloud platforms (AWS, Azure, GCP). Understanding of (and experience with) modern orchestration technologies (Kubernetes, GKE, AKE, Docker, etc.)
- Experience with UNIX commands and system administration/navigation
- Experience troubleshooting and debugging code in enterprise environments.
- Excellent written and verbal communication skills — able to explain technical detail clearly to customers at all levels.
- A passion for helping customers succeed and a mindset rooted in collaboration and empathy.
- An appetite for working in a fast-paced startup environment.
- Bachelor’s degree in Computer Science or equivalent practical experience.
- Direct impact: Shape the Support function and influence the customer experience.
- Technical depth: Work across software, data platforms, cloud, and modern DevOps.
- Growth culture: A collaborative, diverse, and inclusive environment where learning never stops.
- Competitive package: Salary, health benefits, and equity. You’ll have an ownership stake in the company.
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!
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