
51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • SaaS
Qdrant is a company that builds a high‑performance vector database and managed cloud services for similarity search and AI retrieval. It offers an open‑source, Rust‑based vector engine (Qdrant Vector Database) plus managed offerings (Qdrant Cloud, Hybrid Cloud, Private Cloud, Edge, and Enterprise solutions), optimized for real‑time indexing, hybrid dense+sparse search, multivector retrieval, and large‑scale production deployments. Qdrant is positioned for builders of RAG, semantic search, recommendation systems, AI agents, and anomaly detection, and emphasizes developer APIs, enterprise security/compliance (SOC2, HIPAA options), and deployment flexibility (on‑prem, cloud, hybrid, edge).
🔥 3 hours ago
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51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • SaaS
Qdrant is a company that builds a high‑performance vector database and managed cloud services for similarity search and AI retrieval. It offers an open‑source, Rust‑based vector engine (Qdrant Vector Database) plus managed offerings (Qdrant Cloud, Hybrid Cloud, Private Cloud, Edge, and Enterprise solutions), optimized for real‑time indexing, hybrid dense+sparse search, multivector retrieval, and large‑scale production deployments. Qdrant is positioned for builders of RAG, semantic search, recommendation systems, AI agents, and anomaly detection, and emphasizes developer APIs, enterprise security/compliance (SOC2, HIPAA options), and deployment flexibility (on‑prem, cloud, hybrid, edge).
• 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.
• A competitive salary with additional perks. • Flexible working hours and async-friendly culture. • High ownership and real impact. • Open-source, engineering-driven culture. • Choose your own laptop equipment. • Comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.
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