Qdrant

Powering the next generation of AI applications with advanced and high-performant vector similarity search technology. Qdrant is an open-source vector search engine. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more. Make the most of your Unstructured Data!

qdrant.tech

Qdrant

qdrant.tech

HQDE

Team Size113

Open Jobs23

Total Funding$42M

Latest FundraiseUnknown

TL;DR

What they do: Open-source vector database and search engine for low-latency similarity search

Founded: 2021

HQ: Berlin, Germany

Latest known funding: Series A $28M (Jan 2024)

Tech highlight: Implemented in Rust; offers self-hosted and managed cloud/on-prem editions

Company Overview

Problem Domain

Low-latency similarity search over unstructured data (vector search for AI applications).

Founded

2021

Industry

Software Development

Tech Stack

Rust

Vector search / vector database

Funding Track Record

Pre-seed

€2,000,000

Pre-seed raised prior to seed (amount reported as approximately €2M).

Seed- April 2023

7,500,000

Seed round participation included 42cap, IBB Ventures and angel backers.

Series A- January 2024

28,000,000

Series A included participation from existing investors Unusual Ventures and 42cap.

Investor Signal

“Led by Spark Capital in Series A with participation from Unusual Ventures and 42CAP”

Founders

What we do

TL;DR

Company Overview

Funding Track Record

Founders

What we do

Qdrant

qdrant.tech

Qdrant

qdrant.tech

HQDE

Team Size113

Open Jobs23

Total Funding$42M

Latest FundraiseUnknown

TL;DR

What they do: Open-source vector database and search engine for low-latency similarity search

Founded: 2021

HQ: Berlin, Germany

Latest known funding: Series A $28M (Jan 2024)

Tech highlight: Implemented in Rust; offers self-hosted and managed cloud/on-prem editions

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Company Overview

Problem Domain

Low-latency similarity search over unstructured data (vector search for AI applications).

Founded

2021

Industry

Software Development

Tech Stack

Rust

Vector search / vector database

Funding Track Record

Pre-seed

€2,000,000

Pre-seed raised prior to seed (amount reported as approximately €2M).

Seed- April 2023

7,500,000

Seed round participation included 42cap, IBB Ventures and angel backers.

Series A- January 2024

28,000,000

Series A included participation from existing investors Unusual Ventures and 42cap.

Investor Signal

“Led by Spark Capital in Series A with participation from Unusual Ventures and 42CAP”

Founders

What we do

Join the Team

Developer Advocate/DevRel (Berlin)

On-SiteDE

On-Site • DE

Qdrant is an open-source, high-performance vector database and similarity search engine, designed to power AI-driven applications. Our technology helps developers build state-of-the-art semantic search, RAG, recommendation systems, and large-scale AI solutions. We are growing our DevRel team and looking for passionate individuals to help shape the future of vector search technology and take care of our community in Berlin.

Tasks

As a Developer Advocate, you will be the voice of Qdrant within the global developer community. Your mission is to educate, engage, and empower developers by creating technical content, fostering open-source contributions, and advocating for best practices in vector search and machine learning applications. You will work closely with engineering, product, and marketing teams to drive adoption and build a strong community around Qdrant.

: Grow and nurture Qdrant’s developer community through forums, social media, Discord, and GitHub.

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

DevOps Engineer

Full-timeAustin, US

Full-time • Austin, US

AI Researcher

InternshipBelgrade, RS

Internship • Belgrade, RS

Backend Developer

ContractBelgrade, RS

Contract • Belgrade, RS

Technical Writer

Full-timeTel Aviv

Full-time • Tel Aviv

AI Researcher

Full-timeBerlin, DE

Full-time • Berlin, DE

Technical Writer

InternshipNovi Sad, RS

Internship • Novi Sad, RS

A background in data science or ML engineering is a MUST
Experience in Developer Advocacy or Technical Evangelism , with a passion for engaging with developers.
Strong programming skills in Python , with experience in databases, search engines, or ML applications.
Excellent communication skills , both written and verbal, with the ability to explain complex topics clearly.
Hands-on experience with vector search, embeddings, or AI-powered search technologies is a big plus.
Experience contributing to open-source projects and familiarity with GitHub workflows.
Ability to travel occasionally for conferences, events, or team gatherings.

Work at the cutting edge of vector search and AI infrastructure.
Be part of a fast-growing, well-funded startup with a vibrant open-source community.
Competitive salary and remote-friendly work environment.
Opportunity to influence a widely used open-source project and engage with a global developer audience.
Growth opportunities in an emerging technology field shape the future of AI applications.