Senior Solution Architect, Qdrant
SF Bay Area / West Coast of US
More information about location
Open-source vector search engine for AI
Job no longer available
Open-source vector search engine for AI
21-100 employees
Job no longer available
More information about location
21-100 employees
Company mission
Qdrant's mission is to empower businesses to build and deploy semantic neural search on your data in minutes.
Role
Who you are
- You have proven experience in the tasks mentioned above
- 3+ years of experience working at a database or search technology company
- Excellent presentation skills, adept at addressing both technical and executive audiences through spontaneous discussions or structured presentations and demos
- Extensive experience with large-scale database technologies, data warehousing, ETL processes, analytics, and cloud solutions
- Skilled at linking Qdrant's solutions to specific business challenges faced by customers
- Additional experience in (Pre) Sales is also a plus
What the job involves
- As a Solution Architect at Qdrant, you will play a pivotal role in our sales process, combining your technical expertise with a keen understanding of customer needs to provide tailored solutions that demonstrate the value and capabilities of Qdrant's vector database technology
- You will work closely with potential clients, understanding their technical challenges, and demonstrating how our solutions can meet their requirements
- Your role will be crucial in bridging the gap between the technical and sales aspects of our business, ensuring a smooth transition from initial engagement to successful implementation
- Engage closely with prospects and customers by offering architectural guidance, showcasing Qdrant’s technology through practical demonstrations, proof of concepts, and during the entire design and implementation process
- Partner with the growth and sales teams to craft engaging joint solutions and successful go-to-market strategies
- Link Qdrant's solutions to specific business challenges faced by customers
- Contribute to enhancing internal knowledge through the delivery of technical training, provision of sales materials, and coordination of collaborative solution workshops
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. This will be invaluable to the company in continuing to innovate and increase their consumer base.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 3 rounds)
Jan 2024
$26.8m
SERIES A
Apr 2023
$7.8m
SEED
Total funding: $36.7m
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
Articles
Leadership
Andre Zayarni
(CEO)Previously created JobBot-me, and served as CPO and CTO of MoBerries GmbH.
Andrey Vasnetsov
(CTO)Previously worked as a Machine Learning Engineer as Tinkoff.ru, and was Lead Data Scientist at MoBerries.
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