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How to Write a Resume for Weaviate

Weaviate is the open-source vector database built for AI-native applications. They support hybrid search (combining vector and keyword search), built-in vectorization modules, and multi-modal search across text, images, and more. Their Go-based architecture is designed for speed and their open-source approach has built a strong developer community.

Size

150+ employees

HQ

Amsterdam, Netherlands

What It's Like to Work There

Open-source-first and internationally distributed. Dutch-founded with a global team. The culture is collaborative, technically deep, and community-oriented. They value transparency and engagement with their developer community.

Resume Tips for Weaviate

1

Vector search and similarity search experience is directly relevant. Show you understand ANN algorithms, HNSW, and vector indexing.

2

Go programming skills are essential since Weaviate is written in Go.

3

Open-source contributions are valued. Weaviate is open-source and they want people who understand community-driven development.

4

Distributed systems knowledge matters for scaling vector search across clusters.

5

ML and embedding model experience helps you understand the use cases Weaviate serves.

Hiring Process

1

Application review with emphasis on distributed systems and database experience

2

Technical interview focused on database architecture and Go programming

3

Team interviews covering collaboration and open-source philosophy

4

Trial project or contribution to assess real-world coding skills

Interview Style

Technical interviews focused on Go programming, database architecture, and distributed systems. They want to see how you approach vector search optimization and system design challenges.

Top Roles They Hire

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