Senior Solutions Engineer (APAC) - Qdrant

Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI.

As we expand our presence across Asia-Pacific, we're looking for a Senior Solutions Engineer to be the technical authority in deals that determine how enterprises build AI infrastructure for the next decade, and the trusted technical owner for our most strategic accounts in the region.

What you will own

• Own the technical strategy in enterprise deals from first call to production deployment, partnering with Account Executives to qualify, architect, and close for our entire Asian-Pacific client base.
• Act as a Technical Account Manager for a small portfolio of existing enterprise customers in the region alongside active prospects, identifying new 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's performance advantages over JVM-based or proprietary alternatives.
• Serve as a trusted advisor on AI infrastructure decisions, helping customers navigate migration from legacy databases, avoid architectural lock-in, and deploy across cloud, on-prem, or air-gapped environments.
• Contribute to the field engineering knowledge base: reference architectures, technical guides, and reusable POC frameworks.

Who you are

• 5+ years of pre-sales or solutions engineering, ideally with a background in data infrastructure or systems architecture.
• Experience designing or operating distributed systems, search infrastructure, or data pipelines at production scale.
• Hands-on experience with RAG pipelines specifically, plus working knowledge of the broader modern AI stack (LLMs, embedding models, agentic frameworks).
• Working knowledge of a structured sales qualification framework such as MEDDICC/MEDDPICC.
• Strong communicator across audiences, capable of discussing indexing trade-offs with a Staff Engineer and infrastructure ROI with a CIO.

Nice to have

• Experience with vector search, approximate nearest neighbor algorithms, or semantic retrieval systems.
• Background with Rust, C++, or other systems languages.
• Familiarity with deployment patterns: Kubernetes, hybrid cloud, on-prem, or air-gapped environments.

Why join us

• A remote-first, international team working on cutting-edge AI infrastructure.
• 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.