Company profile

Arango Tech Stack

Multimodel graph-vector data platform for enterprise AI agents

Software Development San Francisco, CA 51–200 employees Privately Held

Arango builds a contextual data platform on ArangoDB that unifies graph, vector, document and key-value data for GraphRAG-driven AI agents. Its stack spans Kubernetes, OpenShift, EKS and AKS with Helm and a dedicated operator effort, pointing to heavy investment in self-managed enterprise deployments. Adoption of OpenAI, Anthropic, Databricks, Snowflake and NVIDIA, plus senior-skewed hiring around POCs and reference builds, signals a push to move customer AI pilots into production.

Tech Stack 60 technologies

Core StackDocker Kubernetes Python Salesforce AWS RAG OpenShift Helm LangChain Jira Zendesk C++ Java JavaScript Jenkins ArangoDB Azure Kubernetes Service AWS EKS Azure GCP AWS EBS MinIO GraphRAG LlamaIndex MCP JazzHR LinkedIn Recruiter Red Hat Enterprise Linux CoreOS AWS WAF+27 more

AdoptingAWS Snowflake OpenAI Anthropic Databricks ArangoDB GCP NVIDIA+1 more

What Arango Is BuildingChallenges and projects from their job posts

◆Challenges

Scaling AI pilots and systems to production
Lowering TCO and infrastructure complexity
Stitching together vector store and graph database
Recruiting and scaling core engineering team
HR compliance with Indian labor laws

▲Active Projects

Retrieval architecture across graph traversal and vector search
ArangoDB operator development
Technical POCs and MVPs for AI stacks
Reference implementations and industry solution blueprints
Guiding enterprise production deployments and adoption
Launching first office in India

Hiring Activity

Decelerating20 roles · 3 in 30d

Department

Engineering

Sales

Product

Customersuccess

Finance

Ops

Seniority

Senior

Director

Intern

Manager

Mid

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About Arango

Arango is a privately held, San Francisco-based software company with 51–200 employees. It develops a contextual data platform built around ArangoDB, combining graph, vector, document and key-value storage with search and governance for AI applications. Its Agentic AI Suite connects LLMs to enterprise data through knowledge graph creation, GraphRAG and hybrid retrieval, natural-language querying and graph analytics. The company sells to enterprise developer and data teams and deploys across AWS, Azure, GCP and Red Hat OpenShift environments. Hiring spans the United States, France, India and the United Kingdom.

HeadquartersSan Francisco, CA

Company Size51–200 employees

Hiring MarketsUnited States, France, India, United Kingdom

Frequently Asked Questions

What tech stack does Arango use?

Arango runs on ArangoDB with Python, C++, Java and JavaScript, deployed via Docker, Kubernetes, Helm and OpenShift across AWS, Azure and GCP, plus LangChain, LlamaIndex, MCP and GraphRAG for AI workloads.

What is Arango working on?

Arango is building reference implementations, industry solution blueprints, ArangoDB operator development, and retrieval architectures combining graph traversal with vector search, alongside technical POCs for enterprise AI stacks.

What countries does Arango hire in?

Arango hires in the United States, France, India and the United Kingdom, with job posts indicating it is launching its first office in India. Most open roles are senior-level, led by engineering and sales.

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How this profile is built

Arango's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.