Developer Relations Advocate – GenAI & Graph Systems jobs in United States
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FalkorDB · 17 hours ago

Developer Relations Advocate – GenAI & Graph Systems

FalkorDB is a high-performance graph database powering context-rich GenAI systems. They are seeking a Developer Relations Advocate to help developers improve GenAI context by utilizing FalkorDB in various applications, including RAG pipelines and semantic APIs.

DatabaseInformation TechnologySoftware
Hiring Manager
Guy Korland
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Responsibilities

Advocate for FalkorDB as a core component in GenAI architectures
Build and publish examples using FalkorDB for:
GraphRAG and hybrid retrieval (graph + vectors)
Agentic memory and long-term context
Semantic layers over structured and unstructured data
Code graphs (ASTs, dependencies, call graphs, repo intelligence)
Create technical content: blogs, notebooks, reference architectures, talks, demos, and videos
Engage directly with GenAI developers via GitHub, Discord/Slack, meetups, and conferences
Work closely with engineering to validate new features against real GenAI use cases
Translate developer pain points into product feedback and roadmap insights
Represent FalkorDB in the Bay Area GenAI ecosystem (events, podcasts, panels, workshops)

Qualification

Graph databasesLLM-powered applicationsRAGEmbeddingsDeveloper AdvocacyGraph query languagesTechnical communicationCommunity engagementOpen-source contributions

Required

Strong software engineering background with real-world systems experience
Hands-on experience building LLM-powered applications
Solid understanding of RAG, embeddings, vector search, and prompt orchestration
Comfort working with graphs as context, not just storage
Ability to clearly explain why a GenAI architecture works (or fails)
Excellent technical communication skills: writing, speaking, demos
Experience in DevRel, Developer Advocacy, or a strong engineering background with community engagement
Based in the Bay Area and excited to be visible in the local GenAI community

Preferred

Experience with GraphRAG or hybrid retrieval systems
Built agent frameworks with memory, tools, or planning
Worked with code intelligence, static analysis, or repo-level reasoning
Familiarity with graph query languages or knowledge graphs (Cypher, RDF, etc.)
Open-source contributions or public technical writing
Experience helping ISVs or platform teams adopt AI infrastructure

Benefits

Competitive compensation
Flexibility

Company

FalkorDB

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FalkorDB is a property graph⁠ database that perfects the knowledge graph for GraphRAG.

Funding

Current Stage
Early Stage
Total Funding
$3M
Key Investors
Angular Ventures
2024-06-09Seed· $3M

Leadership Team

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Guy Korland
CEO & Co-founder
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Avi Avni
Chief Architect & Co-founder
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Company data provided by crunchbase