Senior Solutions Engineer (APAC)

Qdrant
Canberra, Singapore, Tokyo
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Communication","Stakeholder management","Technical qualification","Technical advisory","Knowledge sharing"]

Own the technical strategy for enterprise deals across APAC, partnering with Account Executives from first call through production deployment. Act as a technical advisor and trusted account owner, architecting vector search systems for high-scale workloads and building customer proof-of-concepts using Qdrant. Guide migrations from legacy data stores, avoid architectural lock-in, and deploy across cloud, on-prem, or air-gapped environments while contributing reusable field engineering knowledge.

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FursaFursa
Qdrant
Qdrant
2 days ago

Senior Solutions Engineer (APAC)

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Last checked: 10 hours agoStatus: Live
Reposted: similar role first listed 2 weeks ago

Job Summary

Own the technical strategy for enterprise deals across APAC, partnering with Account Executives from first call through production deployment. Act as a technical advisor and trusted account owner, architecting vector search systems for high-scale workloads and building customer proof-of-concepts using Qdrant. Guide migrations from legacy data stores, avoid architectural lock-in, and deploy across cloud, on-prem, or air-gapped environments while contributing reusable field engineering knowledge.
Location: Canberra, Singapore, Tokyo
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Own the technical strategy for enterprise deals from first call to production deployment across the Asian-Pacific client base.
  • •Serve as a Technical Account Manager for a portfolio of existing enterprise customers and active prospects, identifying use cases, expansion opportunities, and upsell paths.
  • •Design vector search architectures for high-scale workloads, including multi-tenant agentic systems, hybrid search pipelines, and low-latency retrieval at billion-vector scale.
  • •Build proof-of-concept systems that customers take to production, demonstrating Qdrant performance versus JVM-based or proprietary alternatives.
  • •Advise on AI infrastructure decisions, including migration from legacy databases and deployment across cloud, on-prem, or air-gapped environments.

Pay and Benefits

Perks:Health InsuranceDentalVision401kPaid Leave

Key Requirements

  • •5+ years in pre-sales or solutions engineering, ideally with data infrastructure or systems architecture, including running technical qualification and proof-of-concept processes in a live sales cycle.
  • •Hands-on experience designing or operating distributed systems, search infrastructure, or data pipelines at production scale.
  • •Experience designing RAG pipelines and working knowledge of the modern AI stack, including LLMs, embedding models, and agentic frameworks.
  • •Experience applying a structured sales qualification framework such as MEDDICC/MEDDPICC to connect technical decisions to business outcomes.
  • •Strong communication across technical and executive audiences, explaining indexing trade-offs and infrastructure ROI.
Experience:5+ yearsOpen sourceVector searchRAGAI infrastructureEnterprise softwareDistributed systems
Skills:CommunicationStakeholder managementTechnical qualificationTechnical advisoryKnowledge sharing
Tech Stack:Vector searchRetrieval-augmented generation (RAG)LLMsEmbedding modelsAgentic frameworksMEDDICCMEDDPICCKubernetesHybrid cloudOn-premAir-gappedJVM-based systemsApproximate nearest neighborSemantic retrievalMulti-tenant systems

Company Brief

Qdrant
Develops an open-source, high-performance vector search engine and managed vector database to power semantic search, retrieval-augmented generation, and other AI applications at scale for enterprise customers.
Industry: Data Infrastructure
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: Berlin, Germany
Founded: 2021
Glassdoor
Glassdoor: 3.4
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