
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…

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…
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
Low-latency similarity search over unstructured data (vector search for AI applications).
2021
Software Development
€2,000,000
Pre-seed raised prior to seed (amount reported as approximately €2M).
7,500,000
Seed round participation included 42cap, IBB Ventures and angel backers.
28,000,000
Series A included participation from existing investors Unusual Ventures and 42cap.
“Led by Spark Capital in Series A with participation from Unusual Ventures and 42CAP”
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This role sits at the intersection of infrastructure, pricing, product, and finance, and exists to make sure our cloud cost structure scales with customer behavior, feature growth, and revenue.
This is not just a cost optimization role. It is a unit economics role. You will help ensure that every new feature, workload, and customer segment contributes to healthy gross margins and predictable growth.
What you’ll do
What you’ll bring
Nice to have
Shape the future of AI infrastructure
Candidates, please submit a short non-AI-generated cover letter and explain why you think you are a great fit for this role.
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