Technical Success Manager (US)

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** - **5+ 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 401…