Qdrant

Manage technical health and adoption of vector search and RAG solutions for strategic accounts, coordinating between customers, support, and engineering. | 3+ years customer-facing technical delivery experience with strong ML lifecycle and retrieval systems knowledge, plus executive communication skills. | Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI. As part of the Customer Success and Engineering organization, you will be the primary technical owner of the post-sale relationship for our most strategic accounts. While the Solutions Architect designs the vision, you ensure that vision becomes a reality. You will act as a long-term trusted advisor and the "glue" between the Customer’s technical team, our Support team, and our Forward Deployed Engineers (FDEs). You will manage the technical health of the customer, driving alignment across multiple stakeholders to ensure the successful deployment and adoption of our Semantic Search, Agentic AI, and RAG solutions. You are not just managing accounts; you are managing technical success. What you will own Orchestrate Technical Delivery: Serve as the primary technical point of contact post-sale, coordinating efforts between Solutions Architects, Forward Deployed Engineers, and Support to ensure seamless project execution. Drive Adoption & Value: Guide customers through the implementation lifecycle, ensuring they effectively utilize Vector Search to solve their specific real-world problems and achieve their business goals. Project & Stakeholder Alignment: Manage expectations across multiple customer projects. You will map customer timelines to internal engineering resources and ensure alignment between client stakeholders and our technical teams. Technical Health Oversight: Conduct regular technical health checks and architecture reviews to identify bottlenecks, suggest optimizations, and maximize usage of the product Feedback Loop: Act as the strategic voice of the customer. Aggregate technical feedback and friction points from the field to help shape and prioritize the Engineering and Product roadmap. Crisis Management: Serve as the escalation manager for critical technical issues, mobilizing Support and Engineering resources to resolve blockers in high-stakes deployments. Evangelize Best Practices: Educate customers on the optimal patterns for building Agentic AI and RAG solutions, moving them from initial use cases to enterprise-wide adoption. Who you are 3+ years of experience in a customer-facing technical delivery role. Proven ability to manage complex, multi-stakeholder technical projects and keep them on track without direct authority. Understanding of the ML lifecycle, data pipelines, and the fundamental concepts of search/retrieval systems. Ability to translate complex technical blockers into business impact for executives, while also talking shop with developers. Nice to have Experience with Kubernetes and Cloud-native ecosystems (AWS, GCP, Azure). Experience with Search technologies (Elasticsearch, Solr, Pinecone, Milvus, or Qdrant). Background in working with "Forward Deployed" or "Professional Services" models. Why join us A remote-first, international team working on cutting-edge AI infrastructure. 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, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy. Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist. Come build with us! For information on how we handle your personal data, please refer to our Recruitment Privacy Policy

Provide direct technical support and collaborate with engineering teams to resolve issues and maintain documentation. | Strong customer-facing support or infrastructure experience with Python, Kubernetes, cloud environments, and excellent communication skills. | Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI. We’re looking for a Senior Customer Support Engineer who is eager to work closely with customers and solve complex technical issues. This is a high-impact opportunity for someone who leads by example and is excited to help shape the future of a growing support function in a fast-paced AI infrastructure startup. What you will own? 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. Who you are? 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. Bonus points Experience troubleshooting complex issues with customer production deployments. Experience with observability tools and automating support workflows. Understanding of DevOps tools and practices. Why join us A remote-first, international team working on cutting-edge AI infrastructure. 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, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy. Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist. Come build with us! For information on how we handle your personal data, please refer to our Recruitment Privacy Policy