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…

qdrant.tech

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…

qdrant.tech

HQDE

Team Size129

Open Jobs7

Total Funding$91M

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

Join the Team

Senior Customer Support Engineer (India-Based Candidates Only)

RemoteUS

Remote • US

Related Companies

Company	HQ	Industry	Total Funding
LanceDB	🇺🇸US	Data and AnalyticsDeepTechInformation TechnologySoftware	-
Tiger Data (creators of TimescaleDB)	🇺🇸US	Data and Analytics	-
LangChain	🌍Remote	Data and AnalyticsDeepTechInformation TechnologySoftware	-
Druid AI	🇺🇸US	Administrative ServicesData and AnalyticsDeepTechHR and RecruitingInformation TechnologySoftware	-
n8n	🇩🇪DE	Data and AnalyticsDeepTechInformation TechnologySoftware	$178M

Location : India (Applications from outside India will be automatically discarded)

Type : Full-Time – Remote

Qdrant is an Open-Source Vector Database: https://github.com/qdrant/qdrant

We help businesses harness modern AI technologies by providing state-of-the-art neural search capabilities at scale. Our flagship product is the open-source Qdrant vector database, and we also offer a managed cloud solution for enterprise use.

We’re looking for a hands-on Customer Support Engineer who is eager to work closely with customers and solve complex technical issues. This is a high-impact opportunity for someone who leads by example and is excited to help shape the future of a growing support function in a fast-paced AI infrastructure startup.

Tasks

Requirements

Must Have:

Nice to Have:

Experience troubleshooting complex issues with customer production deployments.
Experience with observability tools and automating support workflows.
Understanding of DevOps tools and practices.

Benefits

A remote-first, international team working on cutting-edge AI infrastructure.
A competitive salary with additional perks.
Flexible working hours and async-friendly culture.
Regular team offsites and virtual events.
Hardware budget – choose your own setup.

Recruiting Agencies and Headhunters, please only via 𝙝𝙞𝙧𝙚𝙗𝙪𝙛𝙛𝙚𝙧.𝙘𝙤𝙢?ref=qdrant

Startup jobs. A lot of them.

Your next opportunity is in here somewhere. Sign up to explore 52,000+ startups and their open roles. No spam. No gamification. Just jobs.

52,000+

Startups

65,000+

Open Roles

1,500+

New This Week

Product Designer

Part-timeBerlin, DE

Part-time • Berlin, DE

AI Researcher

ContractMunich, DE

Contract • Munich, DE

AI Researcher

Full-timeAmsterdam, NL

Full-time • Amsterdam, NL

Frontend Developer

Full-timeUtrecht, NL

Full-time • Utrecht, NL

Backend Developer

InternshipBelgrade, RS

Internship • Belgrade, RS

Software Engineer

Full-timeRotterdam, NL

Full-time • Rotterdam, NL

Provide direct technical support to our customers, addressing issues related to our vector database and SaaS platform.

Investigate and troubleshoot complex issues involving infrastructure, cloud, and database layers.

Collaborate with engineering and platform teams to resolve customer problems and influence product improvements.

Build and improve internal tooling for support workflows and observability.

Participate in the on-call rotation to ensure timely response to critical issues.

Create and maintain clear, useful internal and customer-facing documentation.

Lead by example through excellent technical work, initiative, and collaboration with stakeholders.

Strong experience in a customer-facing support or infrastructure role .

Proficiency in Python or similar language

Good understanding of Kubernetes and managing workloads.

Experience with cloud environments (AWS, GCP, or Azure).

Excellent communication and collaboration skills across technical and non-technical audiences.

Familiarity with vector databases or similar search technologies.

A proactive, problem-solving mindset and willingness to take ownership.

Based in the EMEA region (mandatory).