Qdrant
As a primary technical owner of post-sale relationships, this role ensures the successful deployment and adoption of semantic search, Agentic AI, and RAG solutions for Qdrant's most strategic accounts. Acting as a trusted advisor and liaison between customers, engineering, and support teams, the candidate orchestrates technical delivery and drives long-term value realization. Key duties include conducting architecture reviews, managing stakeholder expectations, and aggregating technical feedback to influence product roadmaps.
Qdrant is an open-source vector search engine written in Rust that delivers fast, scalable vector similarity search with a developer-friendly API. It ships as a vector database for self-hosting and as managed/cloud, hybrid, edge, and enterprise offerings (plus cloud inference) to support production deployments. Qdrant powers semantic search, recommender systems, image and similarity search, and retrieval-augmented generation by indexing embeddings and using ANN algorithms like HNSW with filtering and payload support. Founded in Berlin in 2021, it offers a free community edition alongside paid managed and enterprise plans.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Qdrant.
3% above the average for this role
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