{"schemaVersion":"jobsearcher.job.v1","id":"22013c456b909b0519f8a1f4","url":"https://jobsearcher.com/jobs/22013c456b909b0519f8a1f4","canonicalUrl":"https://jobsearcher.com/jobs/22013c456b909b0519f8a1f4","title":"Developer Relations","description":"Developer Relations\n\nAbout ArangoDB\nArango makes your business data AI-ready, giving agents, apps, and assistants trusted context at scale. Every answer is traceable. Every decision is governed. No more stitching together a vector store, a graph database, a search index, and a governance layer added as an afterthought. Arango’s Contextual Data Platform has it all built in, not bolted on.\nTrusted by organizations including NVIDIA, HPE, Zscaler, the London Stock Exchange, the U.S. Air Force, NIH, Siemens, and Articul8, Arango helps enterprises move from AI pilots to reliable production systems faster while lowering infrastructure complexity and total cost of ownership. Arango is a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program.\nStop building Frankenstacks. Start building with Arango. Learn more at arango.ai\nWe believe great innovation happens when curious, driven people collaborate. We are committed to building a diverse and inclusive team and supporting our employees and interns as they learn, grow, and contribute to shaping the future of enterprise AI.\nLocation\nRemote - United States preferably Bay Area location\nAbout the Role\nStep into Arango’s first dedicated developer advocacy role, reporting directly to the Chief Product Officer.\nOur foundation powers two breakthroughs: AutoGraph instantly builds knowledge graphs from enterprise documents, no manual ontology design required. AutoRAG dynamically selects the optimal retrieval method (GraphRAG, VectorRAG, or hybrid) for every query. Both integrate seamlessly with LangChain, LlamaIndex, and MCP to amplify, not replace, existing tools.\nYour mission: enable developers to go from install to a working GraphRAG app on their own data in under 30 minutes, and to publicly demonstrate that your solution outperforms DIY alternatives.\nYou’ll shape and build Arango’s developer community, content, and event presence from scratch—defining what developer relations means here. Reporting into product (not marketing) ensures that your feedback directly shapes our roadmap, and your time is spent in the codebase, docs, and issue tracker.\nKey Responsibilities\nBuild things developers want to copy. Create reference applications, quickstarts, and sample repositories that solve real, end-to-end problems—from multi-hop question answering over document corpora, to agents that traverse entity relationships where vector search falls short, to integrations developers can easily adopt in their projects.\nPublish honest benchmarks. Acknowledge where GraphRAG excels—and where vanilla RAG outperforms it—reflecting the published literature. Run standard evaluation harnesses (like GraphRAG-Bench), publish wins, and be transparent about limitations.\nTeach in public through technical posts, talks, workshops, and live builds. Prioritize depth over volume.\nEngage where AI engineers already are. GraphRAG and knowledge-graph communities, AI engineering meetups, framework ecosystems, and relevant conferences—both online and in person.\nClose the loop to product. Serve as the critical link between developers and our product team, delivering specific, prioritized feedback—not just general sentiment.\nSkills and Experience Required\nYou are an engineer. Title aside, what matters is your ability to build and debug real, non-trivial applications.\nYou have hands-on, production experience with LLM applications and retrieval: RAG pipelines, embeddings, chunking strategies, and evaluation. You recognize that retrieval quality issues go deeper.\nStrong Python skills, plus proficiency in at least one of TypeScript/JavaScript, Go, or Java.\nYou’ve written technical content that developers actually finished, and you can point us to examples.\nYou can own a room: giving talks, running workshops, or live-coding, and handle tough questions with confidence.\nYou’re comfortable with Docker and Kubernetes deployments.\nStrongly preferred\nExperience with graph databases, knowledge graphs, or GraphRAG. If you’ve built a knowledge graph by hand, you know why AutoGraph matters.\nFamiliarity with LangChain, LlamaIndex, MCP, or similar orchestration frameworks.\nYou’ve run evaluation harnesses in real-world scenarios and have informed opinions about LLM-as-judge approaches.\nPrior experience as an early or founding developer relations hire at an infrastructure or developer tools company.\nPreferred Experience building agents at scale and for large enterprises\nWhat Success Looks Like\nDevelopers adopt and build on our reference applications and architectural blueprints.\nA higher percentage of trial users reach a working application.\nThe roadmap shifts based on your insights from real developer feedback.\nWhat Makes Arango Special?\nAt Arango, we believe that AI is only as powerful as the data foundation. Our mission is to help organizations build AI systems that can reason, decide and act based on unified, current, and trusted business context at scale. We are helping define a new category of infrastructure: the contextual data layer for AI.\nWorking at Arango means:\nContributing to cutting-edge AI and data infrastructure\nCollaborating with experienced engineers, marketers, and product leaders\nHelping shape how enterprises build AI-powered applications\nIf you're excited about the intersection of AI, data, and social media, we’d love to hear from you.\n\nmWdjVHiXbS","company":"Arango","rawCompany":"arango","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-06T15:07:07.120Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Developer Relations","description":"Developer Relations\n\nAbout ArangoDB\nArango makes your business data AI-ready, giving agents, apps, and assistants trusted context at scale. Every answer is traceable. Every decision is governed. No more stitching together a vector store, a graph database, a search index, and a governance layer added as an afterthought. Arango’s Contextual Data Platform has it all built in, not bolted on.\nTrusted by organizations including NVIDIA, HPE, Zscaler, the London Stock Exchange, the U.S. Air Force, NIH, Siemens, and Articul8, Arango helps enterprises move from AI pilots to reliable production systems faster while lowering infrastructure complexity and total cost of ownership. Arango is a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program.\nStop building Frankenstacks. Start building with Arango. Learn more at arango.ai\nWe believe great innovation happens when curious, driven people collaborate. We are committed to building a diverse and inclusive team and supporting our employees and interns as they learn, grow, and contribute to shaping the future of enterprise AI.\nLocation\nRemote - United States preferably Bay Area location\nAbout the Role\nStep into Arango’s first dedicated developer advocacy role, reporting directly to the Chief Product Officer.\nOur foundation powers two breakthroughs: AutoGraph instantly builds knowledge graphs from enterprise documents, no manual ontology design required. AutoRAG dynamically selects the optimal retrieval method (GraphRAG, VectorRAG, or hybrid) for every query. Both integrate seamlessly with LangChain, LlamaIndex, and MCP to amplify, not replace, existing tools.\nYour mission: enable developers to go from install to a working GraphRAG app on their own data in under 30 minutes, and to publicly demonstrate that your solution outperforms DIY alternatives.\nYou’ll shape and build Arango’s developer community, content, and event presence from scratch—defining what developer relations means here. Reporting into product (not marketing) ensures that your feedback directly shapes our roadmap, and your time is spent in the codebase, docs, and issue tracker.\nKey Responsibilities\nBuild things developers want to copy. Create reference applications, quickstarts, and sample repositories that solve real, end-to-end problems—from multi-hop question answering over document corpora, to agents that traverse entity relationships where vector search falls short, to integrations developers can easily adopt in their projects.\nPublish honest benchmarks. Acknowledge where GraphRAG excels—and where vanilla RAG outperforms it—reflecting the published literature. Run standard evaluation harnesses (like GraphRAG-Bench), publish wins, and be transparent about limitations.\nTeach in public through technical posts, talks, workshops, and live builds. Prioritize depth over volume.\nEngage where AI engineers already are. GraphRAG and knowledge-graph communities, AI engineering meetups, framework ecosystems, and relevant conferences—both online and in person.\nClose the loop to product. Serve as the critical link between developers and our product team, delivering specific, prioritized feedback—not just general sentiment.\nSkills and Experience Required\nYou are an engineer. Title aside, what matters is your ability to build and debug real, non-trivial applications.\nYou have hands-on, production experience with LLM applications and retrieval: RAG pipelines, embeddings, chunking strategies, and evaluation. You recognize that retrieval quality issues go deeper.\nStrong Python skills, plus proficiency in at least one of TypeScript/JavaScript, Go, or Java.\nYou’ve written technical content that developers actually finished, and you can point us to examples.\nYou can own a room: giving talks, running workshops, or live-coding, and handle tough questions with confidence.\nYou’re comfortable with Docker and Kubernetes deployments.\nStrongly preferred\nExperience with graph databases, knowledge graphs, or GraphRAG. If you’ve built a knowledge graph by hand, you know why AutoGraph matters.\nFamiliarity with LangChain, LlamaIndex, MCP, or similar orchestration frameworks.\nYou’ve run evaluation harnesses in real-world scenarios and have informed opinions about LLM-as-judge approaches.\nPrior experience as an early or founding developer relations hire at an infrastructure or developer tools company.\nPreferred Experience building agents at scale and for large enterprises\nWhat Success Looks Like\nDevelopers adopt and build on our reference applications and architectural blueprints.\nA higher percentage of trial users reach a working application.\nThe roadmap shifts based on your insights from real developer feedback.\nWhat Makes Arango Special?\nAt Arango, we believe that AI is only as powerful as the data foundation. Our mission is to help organizations build AI systems that can reason, decide and act based on unified, current, and trusted business context at scale. We are helping define a new category of infrastructure: the contextual data layer for AI.\nWorking at Arango means:\nContributing to cutting-edge AI and data infrastructure\nCollaborating with experienced engineers, marketers, and product leaders\nHelping shape how enterprises build AI-powered applications\nIf you're excited about the intersection of AI, data, and social media, we’d love to hear from you.\n\nmWdjVHiXbS","datePosted":"2026-08-06T15:07:07.120Z","dateModified":"2026-08-06T15:07:07.120Z","hiringOrganization":{"@type":"Organization","name":"Arango","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"22013c456b909b0519f8a1f4"},"url":"https://jobsearcher.com/jobs/22013c456b909b0519f8a1f4"}}