Senior Search Engineer, Qdrant
More information about location
Open-source vector search engine for AI
Be an early applicant
Open-source vector search engine for AI
21-100 employees
Be an early applicant
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
- Minimum of 5 years of experience in search technologies, databases, or related fields
- Proven experience in a customer-facing technical role, such as pre-sales engineer, solutions architect, or consultant
- Deep understanding of search technologies, vector databases, and similarity search algorithms
- Proficiency in programming languages such as Python
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and handling high-dimensional data
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)
- Knowledge of data structures, indexing methods, and performance optimization techniques
- Excellent communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences
- Customer-centric mindset with a passion for helping clients succeed
- Ability to work collaboratively with cross-functional teams
What the job involves
- We are seeking an experienced and dynamic Senior Search Engineer to join our team. In this role, you will focus on consulting with customers to understand their search and data needs, providing expert guidance on integrating Qdrant's Vector Database into their systems, and supporting pre-sales activities
- You will play a critical role in bridging the gap between our technology and customer requirements, ensuring successful adoption and satisfaction
- Engage with customers to understand their technical requirements, data infrastructure, and business objectives
- Provide expert advice on how Qdrant's Vector Database can address their specific challenges and enhance their capabilities
- Develop customized solutions and proof-of-concepts to demonstrate the value of our technology
- Collaborate with the sales team to identify customer needs and tailor presentations accordingly
- Conduct technical presentations, demos, and workshops for potential clients
- Assist in preparing technical proposals, RFP responses, and solution architectures
- Stay up-to-date with the latest developments in vector search, machine learning, and database technologies
- Contribute to the development of best practices and technical resources for internal and external use
- Provide feedback to the product team on customer needs and market trends to inform product roadmap decisions
- Guide customers through the integration process of Qdrant's Vector Database into their existing systems
- Assist with troubleshooting and resolving technical issues during implementation
- Ensure a smooth transition from pre-sales to post-sales support
- Build and maintain strong relationships with key customer stakeholders
- Act as a trusted advisor, ensuring long-term customer satisfaction and loyalty
- Identify opportunities for upselling and cross-selling based on customer needs
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
$27.1m
SERIES A
Apr 2023
$7.9m
SEED
Total funding: $37.1m
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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