Senior Solution Engineer – APJ

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🔥 0 minutes ago

🌐 Australia, India, +2 more countries – Remote

🇦🇺 Australia – Remote 🇮🇳 India – Remote 🇸🇬 Singapore – Remote 🇯🇵 Japan – Remote

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Own the technical strategy in enterprise deals from first call to production deployment • Partner with Account Executives to qualify, architect, and close deals across the Asian-Pacific client base • Act as a Technical Account Manager for a portfolio of existing enterprise customers alongside active prospects • Identify new use cases, expansion opportunities, and upsell paths • Advocate for customers by coordinating with Account Executives and internal resources • 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 production-ready proof-of-concept systems demonstrating Qdrant’s performance advantages • Advise customers on AI infrastructure decisions, migration from legacy databases, avoiding architectural lock-in, and deployment across cloud, on-prem, or air-gapped environments • Contribute reference architectures, technical guides, and reusable POC frameworks to the field engineering knowledge base

🎯 Requirements

• 5+ years of pre-sales or solutions engineering experience • Ideally, a background in data infrastructure or systems architecture • Proven track record running technical qualification and proof-of-concept processes within a live sales cycle • Experience designing or operating distributed systems, search infrastructure, or data pipelines at production scale • Ideally, hands-on experience with RAG pipelines • Working knowledge of LLMs, embedding models, and agentic frameworks • Ideally, working knowledge of MEDDICC/MEDDPICC or a similar structured sales qualification framework • Ability to apply a sales qualification framework in real deal conversations, connecting technical decisions to business outcomes and deal strategy • Strong communication across technical and executive audiences • Experience with vector search, approximate nearest neighbor algorithms, or semantic retrieval systems • Background with Rust, C++, or other systems languages • Familiarity with Kubernetes, hybrid cloud, on-prem, or air-gapped deployment environments

🏖️ Benefits

• 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 • For US-based candidates: comprehensive benefits package including 401k match, health, dental, and vision insurance • For US-based candidates: flexible PTO policy