Account Executive, Qdrant

Enterprise (EMEA)

Salary not provided

Junior and Mid level

London

Remote from Germany, Spain

Open-source vector search engine for AI

Job no longer available

Open-source vector search engine for AI

21-100 employees

B2BArtificial IntelligenceDeep TechMachine LearningAPI

Job no longer available

Salary not provided

Junior and Mid level

London

Remote from Germany, Spain

21-100 employees

B2BArtificial IntelligenceDeep TechMachine LearningAPI

Company mission

Qdrant's mission is to empower businesses to build and deploy semantic neural search on your data in minutes.

Job

Company

Role

Who you are

Experience: 2+ years of quota-carrying field experience in a fast-paced and competitive market
Execution: A demonstrated ability to source pipeline and grow accounts while running a complex sales process from lead to close in the Enterprise and Strategic Commercial segments
Results: A proven track record of overachievement and hitting sales targets
Communication: The ability to articulate the business value of complex enterprise technology
Champion Building: Skilled in finding, building, and testing business champions
Mindset: Driven and competitive, with a strong desire to be successful

Desirable

Self-aware, intrinsically motivated individuals with a growth mindset
Passion for growing your career in the largest AI-Native market
Previous Sales Methodology training (e.g., MEDDIC, Command of the Message)
Familiarity with databases, DevOps, and open-source technology is a plus

What the job involves

We’re looking for a creative, driven individual with “grit” and a passion for helping build our GTM engine
The Enterprise Account Executive role focuses on formulating and executing a sales strategy while building a territory, resulting in revenue growth, new customer acquisition, and expansion within world-class European enterprises
This is a big job. While we are a fully remote workforce, we are specifically seeking candidates based in London, Germany, or Spain. We want a builder and an owner to help us rapidly scale our GTM. You will be the second hire in the region

Salary benchmarks

Our take

In many cases, documents may have too few keywords, or queries might be too large for the usual full-text search to provide the desired result. In such cases, the search either finds no intersections or returns a lot of irrelevant results. Qdrant is setting out to solve this problem with a neural network-based semantic search which can be used stand-alone or in conjunction with traditional search.

Qdrant utilizes applied AI and metric learning to provide users with an open-source neural search engine. This engine has proven popular with businesses looking to turn their unstructured data into an asset. The possible applications of this technology greatly vary, from product recommendations in e-commerce to image recognition and analysis of anomalies.

The trust and capital that leading investors have placed in Qdrant will allow it to develop and scale its technology further, with a focus on enterprise solutions and expanding its business team. This will be invaluable to the company as it continues to innovate and increase its consumer base.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

Glassdoor (3.1)

Company

Funding (last 2 of 4 rounds)

Mar 2026

$50m

SERIES B

Jan 2024

$29.7m

SERIES A

Total funding: $90.7m

Company benefits

Working in a passionate international team
Flexible working hours
Company events
Choose any hardware
Remote/home office possible
Relocation and visa support (EU Blue Card)
A collaborative and supportive work environment with opportunities for growth and advancement
The chance to make a significant impact on an innovative technology with the potential to reshape industries

Company HQ

Prenzlauer Berg, Berlin, BE

Leadership

Andre Zayarni

(CEO & Co-Founder)

Previously created JobBot-me, and served as CPO and CTO of MoBerries GmbH.

Andrey Vasnetsov

(CTO & Co-Founder)

Previously worked as a Machine Learning Engineer as Tinkoff.ru, and was Lead Data Scientist at MoBerries.

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