Solutions Architect - Americas

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Qdrant

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Qdrant is a leading open-source vector database and similarity search engine designed for high-dimensional data, enabling advanced AI applications. It offers products such as Qdrant Cloud and hybrid deployment options, providing powerful capabilities for recommendation systems, data analysis, and anomaly detection. Built with a focus on performance and scalability, Qdrant is engineered in Rust to deliver speed and reliability, catering to the needs of developers and enterprises looking to integrate vector similarity searches into their applications.

Deep Tech • Search Engine • Open-Source • Vector Search • Rust

51 - 200 employees

Founded 2021

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $28M Series A on 2024-01

📋 Description

• We are seeking an experienced Solution Architect with a strong background in databases, search engines, and machine learning. • Engage with clients to understand their technical requirements and business objectives. • Architect scalable and efficient solutions utilizing Qdrant's vector database and cloud offerings. • Provide in-depth guidance on best practices for integrating Qdrant's products into existing systems. • Assist the sales team with technical presentations, demonstrations, and proof-of-concept projects. • Lead technical workshops and training sessions for clients and partners. • Act as a bridge between clients and internal teams, including engineering and product development. • Relay client feedback to influence product enhancements and roadmap. • Stay updated on the latest trends in vector search, machine learning, and database technologies.

🎯 Requirements

• Extensive knowledge of database systems and search engines. • Understanding of vector search concepts. • Strong programming skills in languages in Python. • Familiarity with machine learning frameworks. • Experience with cloud platforms and containerization (Docker, Kubernetes). • Preferred Qualifications: Open-Source Contribution: Experience contributing to open-source projects. • Industry Experience: Background in AI-powered applications like recommendation systems, NLP, or computer vision. • Distributed Systems Knowledge: Understanding of distributed computing and microservices architecture.

🏖️ Benefits

• Remote-first company culture. • Opportunity to work with cutting-edge open-source technology. • Competitive salary and comprehensive benefits package. • Collaborative and dynamic work environment. • Opportunities for career growth and advancement. • A chance to be part of a rapidly growing company at the forefront of the search revolution.