Junior Technical Success Manager

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Qdrant

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • SaaS

Qdrant is a company that builds a high‑performance vector database and managed cloud services for similarity search and AI retrieval. It offers an open‑source, Rust‑based vector engine (Qdrant Vector Database) plus managed offerings (Qdrant Cloud, Hybrid Cloud, Private Cloud, Edge, and Enterprise solutions), optimized for real‑time indexing, hybrid dense+sparse search, multivector retrieval, and large‑scale production deployments. Qdrant is positioned for builders of RAG, semantic search, recommendation systems, AI agents, and anomaly detection, and emphasizes developer APIs, enterprise security/compliance (SOC2, HIPAA options), and deployment flexibility (on‑prem, cloud, hybrid, edge).

📋 Description

• 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.

🎯 Requirements

• 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). • Nice to have: Experience with Search technologies (Elasticsearch, Solr, Pinecone, Milvus, or Qdrant). • Nice to have: Background in working with "Forward Deployed" or "Professional Services" models.

🏖️ Benefits

• A competitive salary with additional perks. • 401k match. • Health, dental, and vision insurance. • Flexible PTO policy. • Flexible working hours and async-friendly culture. • High ownership and real impact. • Open-source, engineering-driven culture. • Choose your own laptop equipment.