San Francisco, CA · Remote
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.
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San Francisco, CA · Remote
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.
San Francisco, CA · Remote
$111K - $151K/yr
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.
Quick apply
San Francisco, CA · Remote
$111K - $151K/yr
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.
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.
Quick apply
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.
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.
Quick apply
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.
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.
Quick apply
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.
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.
Quick apply
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.
$65 - $75/hr
Deep operational expertise with vector databases, such as Pinecone, Milvus, Weaviate, or Qdrant. * AWS Solutions Architect, AWS DevOps Engineer, or equivalent industry certifications.
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$65 - $75/hr
Deep operational expertise with vector databases, such as Pinecone, Milvus, Weaviate, or Qdrant. * AWS Solutions Architect, AWS DevOps Engineer, or equivalent industry certifications.
$66 - $84/hr
Work with Milvus, Qdrant, and Pinecone for efficient data storage and retrieval * Integrate LLM (Large Language Model) for natural language processing tasks * Utilize Spring Boot and Spring Cloud for ...
$66 - $84/hr
Work with Milvus, Qdrant, and Pinecone for efficient data storage and retrieval * Integrate LLM (Large Language Model) for natural language processing tasks * Utilize Spring Boot and Spring Cloud for ...
Familiarity with vector databases (Pinecone, Qdrant, Azure AI Search). * Background in regulated industries (fintech, healthcare, legal). * Experience integrating Databricks Feature Store with real ...
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Familiarity with vector databases (Pinecone, Qdrant, Azure AI Search). * Background in regulated industries (fintech, healthcare, legal). * Experience integrating Databricks Feature Store with real ...
FAISS, Chroma, Pinecone, Qdrant * NLP (Good to Have): spaCy, NLTK, Sentence-Transformers * LLM Evaluation: TruLens, DeepEval, OpenAI Evals
FAISS, Chroma, Pinecone, Qdrant * NLP (Good to Have): spaCy, NLTK, Sentence-Transformers * LLM Evaluation: TruLens, DeepEval, OpenAI Evals
Design schemas, tune ingestion, and optimize queries for graph DBs (Neo4j, ArangoDB, NebulaGraph) and vector stores (Qdrant, Weaviate, pgvector, Chroma). Keep retrieval fast, accurate, and scoped to ...
Design schemas, tune ingestion, and optimize queries for graph DBs (Neo4j, ArangoDB, NebulaGraph) and vector stores (Qdrant, Weaviate, pgvector, Chroma). Keep retrieval fast, accurate, and scoped to ...
Charlotte, NC · On-site
FAISS, Chroma, Pinecone, Qdrant NLP (Nice to Have): spaCy, NLTK, Sentence-Transformers LLM Evaluation: TruLens, DeepEval, OpenAI Evals All qualified applicants will receive consideration for ...
Charlotte, NC · On-site
FAISS, Chroma, Pinecone, Qdrant NLP (Nice to Have): spaCy, NLTK, Sentence-Transformers LLM Evaluation: TruLens, DeepEval, OpenAI Evals All qualified applicants will receive consideration for ...
Cary, NC · On-site
Design schemas, tune ingestion, and optimize queries for graph DBs (Neo4j, ArangoDB, NebulaGraph) and vector stores (Qdrant, Weaviate, pgvector, Chroma). Keep retrieval fast, accurate, and scoped to ...
Cary, NC · On-site
Design schemas, tune ingestion, and optimize queries for graph DBs (Neo4j, ArangoDB, NebulaGraph) and vector stores (Qdrant, Weaviate, pgvector, Chroma). Keep retrieval fast, accurate, and scoped to ...
Palo Alto, CA · On-site
$150K - $250K/yr
Familiarity with vector databases (e.g., FAISS, Pinecone, Qdrant) * Proficient in Python and one systems language (e.g., C++, Java) Preferred Skills * Background in LLM integration or fine-tuning for ...
Palo Alto, CA · On-site
$150K - $250K/yr
Familiarity with vector databases (e.g., FAISS, Pinecone, Qdrant) * Proficient in Python and one systems language (e.g., C++, Java) Preferred Skills * Background in LLM integration or fine-tuning for ...
Proficiency with Azure OpenAI Service, Semantic Kernel, Azure AI Studio, and vector databases (Azure AI Search, Pinecone, or Qdrant). Deep familiarity with distributed systems, event-driven design ...
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Proficiency with Azure OpenAI Service, Semantic Kernel, Azure AI Studio, and vector databases (Azure AI Search, Pinecone, or Qdrant). Deep familiarity with distributed systems, event-driven design ...
Weaviate, Qdrant, FAISS, Pinecone, Chroma * Graph Knowledge Systems : Neo4j, Puppygraph, RDF, Gremlin, JSON-LD * Storage & Access : Iceberg, DuckDB, Postgres, Parquet, Delta Lake * Evaluation
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Weaviate, Qdrant, FAISS, Pinecone, Chroma * Graph Knowledge Systems : Neo4j, Puppygraph, RDF, Gremlin, JSON-LD * Storage & Access : Iceberg, DuckDB, Postgres, Parquet, Delta Lake * Evaluation
FAISS, Chroma, Pinecone, Qdrant * NLP (Nice to Have): spaCy, NLTK, Sentence-Transformers * LLM Evaluation: TruLens, DeepEval, OpenAI Evals "All qualified applicants will receive consideration for ...
FAISS, Chroma, Pinecone, Qdrant * NLP (Nice to Have): spaCy, NLTK, Sentence-Transformers * LLM Evaluation: TruLens, DeepEval, OpenAI Evals "All qualified applicants will receive consideration for ...
Vector search systems (pgvector, Pinecone, Qdrant, Azure Cognitive Search) * Kubernetes/container orchestration * Security, governance, and compliance experience Why Join Us: Work with cutting-edge ...
Vector search systems (pgvector, Pinecone, Qdrant, Azure Cognitive Search) * Kubernetes/container orchestration * Security, governance, and compliance experience Why Join Us: Work with cutting-edge ...
We use LlamaIndex and Qdrant today; we will evolve the stack as needed. * LLM integration with Anthropic Claude (primary), with multi-model routing where it makes sense. * Evaluation pipelines: how ...
We use LlamaIndex and Qdrant today; we will evolve the stack as needed. * LLM integration with Anthropic Claude (primary), with multi-model routing where it makes sense. * Evaluation pipelines: how ...
Plano, TX · On-site
$98K - $129K/yr
Implement and maintain vector stores (OpenSearch, Pinecone, Milvus, Qdrant) and design efficient similarity search, retrieval workflows, and indexing strategies. * Data Ingestion & Processing ...
Plano, TX · On-site
$98K - $129K/yr
Implement and maintain vector stores (OpenSearch, Pinecone, Milvus, Qdrant) and design efficient similarity search, retrieval workflows, and indexing strategies. * Data Ingestion & Processing ...
| Aspect | Qdrant | Data Scientist |
|---|---|---|
| Required Credentials | Technical certifications, knowledge of vector databases | Degree in Data Science, Statistics, or related field |
| Work Environment | Tech companies, startups, AI-focused firms | Research labs, tech companies, consulting firms |
| Industry Usage | AI, machine learning, data storage | Data analysis, predictive modeling, research |
Qdrant primarily focuses on managing and deploying vector similarity search databases, requiring technical skills in database management and AI tools. Data Scientists analyze data, build models, and interpret results. While both roles operate within the tech and AI industry, Qdrant specialists are more technical and infrastructure-oriented, whereas Data Scientists focus on data analysis and modeling.
Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 26 days ago
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. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data.
As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI.
We are looking for a Head of Marketing who will take ownership of Qdrant's marketing function and scale it. This is a very hands-on role and you'll set strategy and run campaigns yourself while you grow the team.
You report directly to the COO. You'll inherit a team of 8 and growing across growth, demand generation, PMM, and design. You'll also partner closely with our Head of DevRel and VP of Sales.
Your focus will be to build programs that amplify the community and respect it, and turn organic adoption into enterprise pipeline. Not market over it.
Build and lead the marketing org across demand generation, product marketing, field marketing, growth, and design.
Own the pipeline number jointly with Sales. Stand up a demand generation engine spanning enterprise campaigns, account-based marketing (ABM), outbound coordination, competitive migrations, and field events.
Drive product-led growth (PLG) acquisition and conversion. Our open-source adoption is compounding; your job is to turn it into revenue.
Lead go-to-market for major product launches: positioning, packaging, pricing narrative, competitive framing, and launch execution.
Build ABM programs targeting enterprise verticals (healthcare, legal, financial services, e-commerce) and competitive migration campaigns against legacy and native alternatives.
Own content strategy, SEO, generative engine optimization (GEO), and technical product marketing, so Qdrant shows up where developers and enterprise buyers are researching, evaluating, and buying.
10+ years in B2B marketing with at least 3 years leading a marketing team at a developer tools company through hyper-growth, ideally from Series B to Series C and beyond.
Deep familiarity with the vector search, retrieval, or broader AI infrastructure space. You don't need to know HNSW indexing on day one, but you should be able to read our docs in a weekend and hold your own opinion in a technical conversation with our engineering team by Monday.
Proven track record building both enterprise/ABM demand gen and PLG growth motions, not just one or the other. You can review a technical blog post and make it better.
Strong background in technical product marketing. You can own positioning, competitive narratives, and sales enablement for deeply technical products without leaning on engineering to translate.
Hands-on operator. You'll write copy, build campaigns, brief analysts, and pull Salesforce reports yourself before you have a team to delegate to.
Experience leveraging AI-driven marketing workflows and automation tools (e.g., Clay, n8n, Claud Cowork) to scale outreach, enrichment, and campaign execution, while staying close to the product and audience.
Low ego, high ownership. You move fast, are comfortable in navigating ambiguity, and can operate in a remote & async organization.
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.
For US-based candidates, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.
Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist.
