About The Position

Arango delivers a unified, natively multimodel contextual data platform that powers AI agents, assistants, and applications with the unified, current, and trusted business context needed to reason, decide, and act at scale. The Arango Contextual Data Platform connects fragmented enterprise data with LLMs, copilots, and AI agents through a simplified architecture delivered out of the box. By combining graph, vector, document, key-value, and search capabilities in a single platform, Arango eliminates the complex stacks many organizations build to operationalize enterprise AI. Trusted by organizations including NVIDIA, HPE, the London Stock Exchange, PSI CRO, the U.S. Air Force, NIH, Siemens, Transient.AI, Matpriskollen, and Articul8, Arango helps enterprises move from AI pilots to reliable production systems faster while lowering infrastructure complexity and total cost of ownership. Arango is a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. Learn more at arango.ai, LinkedIn, and G2.

Requirements

  • 5 years of prior experience in customer-facing roles, including customer engagement, and providing technical training to customers
  • Experience with ticketing systems (JIRA, Zendesk, etc.)
  • Experience with at least one programming language, e.g., C++, Java, JavaScript
  • Network fundamentals (DHCP, DNS, HTTP)
  • Hands-on experience with Unix/Linux system administration (RedHat, CentOS, CoreOS)
  • Containerization with Docker and Kubernetes
  • Prior experience with NoSQL technologies and database systems
  • Strong troubleshooting skills and excellent technical communication skills (in English)
  • Strong root cause analysis and analytical skills
  • Ability to prioritize tasks in a fast-moving environment
  • Remaining calm in pressure situations and adapting quickly to change

Nice To Haves

  • Experience with graph technologies is considered a plus

Responsibilities

  • Provide elevated level of technical support in resolving issues/bugs/upgrades
  • Lead onboarding & adoption with tailored success plans.
  • Build trusted advisor relationships with customers at executive & operational levels.
  • Conduct QBRs/MBRs to track ROI & business outcomes.
  • Identify expansion opportunities in collaboration with Sales.
  • Make sure all customers concerns/questions are addressed
  • Keep track of your customer’s open cases and work with support team to solve those
  • Serve as the voice of the customer into Product & Engineering.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service