Arango
arango.ai
Actively hiring
Vector Search & RAG
Knowledge Graphs
Databases & DBMS
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Offices
Jobs
Financials
Visa sponsorship
1
H-1B filings in 12 months
$93k
Median offered salary
1
Open roles in United States
Who they sponsor
Database administrators
1
In the register as ArangoDB, Inc., San Francisco, CA
Other sponsors in the same field
MongoDB 
Pinecone 
Neo4j 
Zilliz
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US Department of Labor · latest filing Jun 12, 2026 · Visa details by country
Overview
Arango, formerly ArangoDB, is a database software company that develops an open-source multi-model database combining graph, document, key-value and full-text search in one engine. Its platform adds GraphRAG and vector capabilities for building knowledge graphs, fraud detection systems and AI applications. The company was founded in 2014 and is headquartered in San Francisco, California, United States.
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Same company
Same group
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News
Love in the Time of Business Context: How Documents Attract Each Other and Marry
Search finds a match. Business Context explains why the match matters. Your enterprise documents are lonely. Somewhere in a folder,... The post Love in the Time of Business Context: How Documents Attract Each Other and Marry appeared first on Arango.
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Report
Why Your Agents Are Asking You for Arango
Your agents are not asking for Arango by name. Not yet. But listen to what they keep asking for. They... The post Why Your Agents Are Asking You for Arango appeared first on Arango.
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Report
Rethinking AI Data Architecture
Building a Contextual Data Layer with GraphRAG and How Arango AutoGraph Automates It TL;DR Enterprise AI needs a contextual data... The post Rethinking AI Data Architecture appeared first on Arango.
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Report
Context Is an Architectural Imperative
Why the enterprise data stack we built for people has to be re-architected for AI agents The post Context Is an Architectural Imperative appeared first on Arango.
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Report
Graph Databases + LLMs: Why Connected Data Makes AI Smarter
Recap: Arango Community Meetup This month's Arango community meetup tackled a question more teams are asking as they move AI... The post Graph Databases + LLMs: Why Connected Data Makes AI Smarter appeared first on Arango.
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Building Trusted Business Context for Enterprise AI
Featuring New Research from Forrester The Forrester Wave: Multimodel Data Platforms, Q2 2026 Executive Overview How leading organizations are simplifying... The post Building Trusted Business Context for Enterprise AI appeared first on Arango.
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Report
Contextus: The AI that finds what you didn't know to look for
Your business data already contains the answers. The problem is that no search, dashboard, or AI tool was built to... The post Contextus: The AI that finds what you didn't know to look for appeared first on Arango.
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Report
What Is the Best Architecture for Agentic AI?
6 Architectural Requirements for Production-Ready AI Systems TL;DR Chatbots tolerate fragmented systems. Agents expose them. That's why one question now... The post What Is the Best Architecture for Agentic AI? appeared first on Arango.
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Tracing Hidden Risk: How a Transitive-Risk Knowledge Graph Catches What Sanctions Screening Misses
This post summarizes Arthur Keen's technical deep-dive on the Sentries risk-intelligence system. Read the full article on Medium Sanctions... The post Tracing Hidden Risk: How a Transitive-Risk Knowledge Graph Catches What Sanctions Screening Misses appea
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Tech stack
Technologies named in job postings at Arango over the last 12 months, by layer, with the share of postings for each.
Technologies in use
63
Postings analysed
24
Stack modernity
78/100AI adopter
Languages
Python38%
Go21%
Bash21%
SQL17%
Frameworks & libraries
JQuery4%
LangChain4%
LlamaIndex4%
React.js4%
Databases
Neo4j21%
Snowflake17%
Redis4%
Cloud & platforms
AWS100%
Kubernetes46%
GCP29%
Linux25%
AI & ML
LLM25%
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Full Arango tech stack
63 technologies · by team · pay by technology · changes · similar stacks
People
Frank Celler
Executive Officer
Claudius Weinberger
Executive Officer
Lars Fink
Director
Donald Reinke
Director
Andreas Weinberger
Director
Bernhard Woebker
Director
Names and roles come from public filings, company registers and the company's own site. Is this you? Correct or remove · How we handle this data
Growth
Hiring Momentum
74/100
Growing
Open positions
14
4 opened / 6 closed in 30 days
Median time-to-fill
14 days
faster than 68% of the market
ATS activity
Every ~5 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Sales
20% ▲
DevOps
16% ▲
Solutions
16% ▲
AI/ML
8%
HR
8% ▼
Backend
4% ▲
Activity Timeline
Added Radix UI to stack
Oct 2026
Added Tailwind CSS to stack
Oct 2026
Added shadcn/ui to stack
Oct 2026
Added React.js to stack
Oct 2026
Added OpenAI Codex to stack
Oct 2026
Added JQuery to stack
Oct 2026
Added Figma to stack
Oct 2026
Added Claude Code to stack
Oct 2026
Added Agentic Workflows to stack
Oct 2026
Added YouTube to stack
Oct 2026
Added HubSpot to stack
Oct 2026
Added A/B Testing to stack
Oct 2026
Offices
Where the company hires and what each office is for
Cities
3
Hiring now
3
Countries
3
Busiest office
San Francisco
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Headquarters
Builds here
Office with open vacancies
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San Francisco
United States
HQ
1 open roles 2 posted in 90 days 10-50 est. staff
hires for Sales
Hyderabad
India
1 open roles 3 posted in 90 days 50-200 est. staff
hires for HR
Paris
France
1 open roles 1 posted in 90 days 10-50 est. staff
hires for Sales
Jobs
Remote (United States, India) · Internship
Python
PostgreSQL
AI/ML
LangChain
LlamaIndex
Embeddings
AI Agents
LLM
RAG
GraphRAG
DevOps
Git
AWS
GitHub
Apply
Remote (India) · 3+ years exp
JavaScript
TypeScript
SQL
ArangoDB
AI/ML
Claude Code
AI Agents
OpenAI Codex
GraphRAG
Agentic Workflows
Frontend
Tailwind CSS
React.js
JQuery
Radix UI
shadcn/ui
DevOps
AWS
Design
Figma
Apply
≈ $106k – $224k per year (Estimated) · Remote (Germany) · 10+ years exp
Python
SQL
ArangoDB
AI/ML
AI Agents
LLM
RAG
Machine Learning
DevOps
CI/CD
AWS
Docker
Kubernetes
Apply
≈ $103k – $236k per year (Estimated) · Remote (India) · 5+ years exp
Python
Bash
Neo4j
MinIO
ArangoDB
AI/ML
Embeddings
Prompt Engineering
AI Agents
RAG
DevOps
Rest API
GCP
OpenShift
Helm
Azure
AWS
Docker
Kubernetes
Amazon EKS
Azure AKS
Amazon S3
Linux
DNS
Apply
≈ $53k – $154k per year (Estimated) · Remote (India) · 4+ years exp
Python
Go
Bash
ArangoDB
AI/ML
AI Agents
DevOps
Terraform
GCP
CircleCI
Prometheus
CI/CD
GitOps
Jenkins
Git
AWS
Docker
Kubernetes
Grafana
Linux
Apply
≈ $54k – $156k per year (Estimated) · Remote (United States) · 4+ years exp
Go
ArangoDB
AI/ML
AI Agents
DevOps
AWS
Kubernetes
Apply
≈ $149k – $299k per year (Estimated) · Remote (United States) · 12+ years exp
Snowflake
Databricks
AI/ML
AI Agents
LLM
OpenAI
Anthropic
DevOps
GCP
Azure
AWS
Apply
Financials
Total raised
$11.6M
Latest round
Venture - Series Unknown
Funding rounds
1
Funding rounds
| Round | Announced | Amount | |
|---|---|---|---|
| Venture - Series Unknown | 2017 | $11.6M | Details |