Associate Technical Success Manager

🕒 Julho 28

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

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

• 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.

🏖️ Benefícios

• Comprehensive benefits package including 401k match, health, dental, and vision insurance • Flexible PTO policy • Choose your own laptop equipment • Competitive salary with additional perks • Flexible working hours and async-friendly culture • High ownership and real impact • Open-source, engineering-driven culture