
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).
🔥 4 minutes ago
🌐 Germany, France, +2 more countries – Remote
⏰ Full Time
🟢 Junior
🟡 Mid-level
💰 Business Development (BDR)
🚫👨🎓 No degree required
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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).
• Report directly to Qdrant's Enterprise sales leaders and act as an extension of their account strategy • Run outbound prospecting into named enterprise accounts targeting engineering, AI, and data leaders • Qualify and progress inbound leads from marketing, content, and community channels • Research target accounts to identify expansion opportunities within existing customers and new strategic-segment logos • Work with Enterprise AEs on strategic outreach and multi-threaded account plans • Run discovery conversations about prospects' retrieval, search, and AI infrastructure challenges • Book qualified meetings and hand off well-scoped opportunities to the Enterprise sales team • Build outbound workflows using Claude and Common Room • Maintain accurate Salesforce and pipeline data • Share account and market insights with sales, marketing, and product teams • Meet monthly and quarterly qualified-pipeline targets
• Up to three years of experience in business development, sales development, or a similar quota-carrying prospecting role, ideally at a technical B2B SaaS or infrastructure company • Track record of hitting or exceeding pipeline generation targets • Comfort with inbound follow-up and proactive outbound prospecting into enterprise accounts • Strong written and verbal communication skills, with ability to speak credibly to technical audiences • Genuine interest in AI infrastructure, vector search, or developer tools • Willingness to learn technical fundamentals; engineering experience is not required • Genuine interest in building a sales career • Experience with Salesforce and sales engagement tools • Organized, self-motivated, and comfortable operating with ambiguity in a fast-growing company • Nice to have: understanding of key AI/ML personas • Nice to have: familiarity with databases, search, and cloud infrastructure • Nice to have: engineering or computer science background
• 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 • For US-based candidates: 401k match • For US-based candidates: health, dental, and vision insurance • For US-based candidates: flexible PTO policy • Remote-first, international team
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