
51 - 200 employees
Founded 2021
đ€ Artificial Intelligence
âïž SaaS
Artificial Intelligence âą SaaS
Qdrant is a company that builds a highâperformance vector database and managed cloud services for similarity search and AI retrieval. It offers an openâsource, Rustâbased vector engine (Qdrant Vector Database) plus managed offerings (Qdrant Cloud, Hybrid Cloud, Private Cloud, Edge, and Enterprise solutions), optimized for realâtime indexing, hybrid dense+sparse search, multivector retrieval, and largeâscale 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 (onâprem, cloud, hybrid, edge).
đ„ 5 minutes ago
đŠđș Australia â Remote
â° Full Time
đ Senior
đ§âđ§ Technical Customer Success Manager
đ» Ghost score 10%
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51 - 200 employees
Founded 2021
đ€ Artificial Intelligence
âïž SaaS
Artificial Intelligence âą SaaS
Qdrant is a company that builds a highâperformance vector database and managed cloud services for similarity search and AI retrieval. It offers an openâsource, Rustâbased vector engine (Qdrant Vector Database) plus managed offerings (Qdrant Cloud, Hybrid Cloud, Private Cloud, Edge, and Enterprise solutions), optimized for realâtime indexing, hybrid dense+sparse search, multivector retrieval, and largeâscale 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 (onâprem, cloud, hybrid, edge).
âą Own strategic APAC accounts end to end, from onboarding through production, scaling, and expansion âą Serve as the primary technical owner for the largest regional customers âą Run health checks and architecture reviews and identify growth opportunities âą Work directly with customer engineering teams on deployment, configuration, and performance tuning across Qdrant Cloud and self-hosted Kubernetes environments âą Resolve most technical questions during APAC hours and escalate edge cases to Support and Engineering with clear diagnostics âą Set expectations regarding scope, priorities, and customization requests âą Align engineering, IT, and security stakeholders on next steps and timelines âą Support Account Executives with new opportunities and proofs of concept âą Help regional partners' technical teams position and deploy Qdrant âą Bring APAC customer feedback to Product and Engineering âą Help develop playbooks and processes for regional growth
âą 6+ years in customer-facing technical roles (Technical Account Manager, Technical Success Manager, Solutions Architect, Solutions Engineer, or Forward Deployed Engineer) at an AI, data, or database infrastructure company âą Hands-on experience with cloud-native infrastructure: Kubernetes, Terraform, and at least one major cloud (AWS, GCP, or Azure) âą Ability to reason about memory, performance, and scaling problems âą Experience supporting technical evaluations and managing long-term customer relationships âą Enterprise experience negotiating with engineering, IT, and security teams âą Ability to work independently in a startup environment and make decisions without close supervision âą Based in APAC, ideally Australia âą Clear communication in English âą Ability to occasionally join early or late calls with teammates in Europe and the US
âą A remote-first, international team working on cutting-edge AI infrastructure âą Competitive salary with additional perks âą Flexible working hours and async-friendly culture âą High ownership and real impact âą Open-source, engineering-driven culture âą Choose your own laptop equipment âą For US-based full-time employees: 401k match, health, dental, and vision insurance âą For US-based full-time employees: flexible PTO policy
Apply Nowđ October 6
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