business development representative in AI infrastructure

Qdrant develops an open-source vector search engine that powers AI applications, including semantic search, retrieval-augmented generation, AI agents, and real-time recommendations. It builds retrieval infrastructure for modern AI.

• Report to Enterprise sales leaders and support their account strategies
• Prospect named enterprise accounts, targeting engineering, AI, and data leaders building retrieval and agentic AI systems
• Qualify and progress inbound leads from marketing, content, and community channels
• Research target accounts to identify expansion opportunities with existing customers and new logos in strategic segments
• Develop strategic outreach and multi-threaded account plans with Enterprise AEs
• Conduct 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 tools such as Claude and Common Room to research accounts, personalize outreach, and scale prospecting
• Maintain accurate, current Salesforce and pipeline data, and share account and market insights with sales, marketing, and product teams
• Meet monthly and quarterly targets for qualified pipeline generation

• Up to three years of experience in business development, sales development, or a similar quota-carrying prospecting role
• A track record of meeting or exceeding pipeline generation targets
• Comfortable with inbound follow-up and proactive outbound prospecting into enterprise accounts
• Strong written and verbal communication skills, including the ability to speak credibly with technical audiences
• Interested in AI infrastructure, vector search, or developer tools, and willing to learn technical fundamentals
• Interested in building a sales career
• Experience with Salesforce and sales engagement tools
• Organized, self-motivated, and comfortable working amid ambiguity in a fast-growing company
• Будет плюсом: Experience at a technical B2B SaaS or infrastructure company, understanding of key AI/ML personas, familiarity with databases, search, and cloud infrastructure, engineering or computer science background

• Competitive salary with additional perks
• Flexible working hours and async-friendly culture
• Choose your own laptop equipment
• US-based full-time employees receive 401k matching, health, dental, and vision insurance, and flexible PTO