About Qdrant
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.
Responsibilities
•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
Requirements
•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
Nice to have
•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
Conditions
•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
