The Customer Solution Architect will serve as the primary technical interface for customers, managing the full lifecycle from discovery and architecture design to production deployment. They are responsible for building reference implementations, guiding technical adoption, and shaping the product roadmap based on field feedback.
You will build reference applications, quickstarts, and sample repositories to enable developers to adopt Arango's platform effectively. Additionally, you will publish honest benchmarks, engage with the AI engineering community, and provide critical feedback to the product team.
The Director of Strategic Technologies Alliances will define and execute the partner strategy with hyperscalers and ISVs to drive product innovation and revenue. This role involves creating joint solutions, managing co-development initiatives, and operationalizing go-to-market strategies to turn partnerships into a durable growth engine.
The Site Reliability Engineer will design, implement, and maintain scalable cloud infrastructure while ensuring the reliability and performance of distributed database systems. They will also collaborate with development teams to automate operations and improve CI/CD pipelines using Golang.
Drive adoption, retention, and expansion in strategic accounts through consultative engagement and executive alignment. Provide technical support, lead onboarding, and serve as the voice of the customer to internal product and engineering teams.
The intern will support the talent acquisition lifecycle by managing the Applicant Tracking System, coordinating interviews, and screening resumes. They will also assist in sourcing candidates and tracking recruitment metrics to support the People team.
The Enterprise Account Executive will drive revenue growth by prospecting new business and managing strategic relationships with enterprise customers. They will utilize the MEDDPIC methodology to qualify opportunities and collaborate with cross-functional teams to deliver value-driven solutions.
Act as the primary technical interface for customers deploying Arango's AI product suite, managing the relationship from discovery to production. Design target architectures including graph data models and GraphRAG retrieval pipelines to solve complex business problems.
The engineer will help customers install, maintain, and scale AI solutions built on ArangoDB across various cloud and on-prem environments. Responsibilities include diagnosing technical issues, optimizing queries, and training internal and external teams.
