Technical Success Manager

🕒 Julho 28

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Qdrant

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2021

🤖 Inteligência Artificial

☁️ SaaS

Artificial Intelligence • SaaS

A Qdrant é uma empresa que desenvolve um banco de dados vetorial de alto desempenho e serviços em nuvem gerenciados para busca de similaridade e recuperação por IA. Oferece um motor vetorial open-source baseado em Rust (Qdrant Vector Database) além de ofertas gerenciadas (Qdrant Cloud, Hybrid Cloud, Private Cloud, Edge e soluções Enterprise), otimizadas para indexação em tempo real, busca híbrida densa+esparsa, recuperação multi-vetorial e implantações em larga escala. A Qdrant está posicionada para criadores de RAG, busca semântica, sistemas de recomendação, agentes de IA e detecção de anomalias, e enfatiza APIs para desenvolvedores, segurança/compliance empresarial (opções SOC2, HIPAA) e flexibilidade de implantação (on-premise, na nuvem, híbrida, edge).

Descrição

• 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.

🎯 Requisitos

• 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. • Experience with Kubernetes and Cloud-native ecosystems (AWS, GCP, Azure) is a plus. • Experience with Search technologies (Elasticsearch, Solr, Pinecone, Milvus, or Qdrant) is a plus. • Background in working with "Forward Deployed" or "Professional Services" models is a plus.

🏖️ Benefícios

• 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. • Comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.