Jobs at ArangoDB

Drive enterprise revenue growth across EMEA by generating pipeline, prospecting within complex accounts, qualifying opportunities using MEDDIC, and closing high-value deals. Maintain accurate Salesforce data, deliver tailored presentations and demonstrations, forecast pipeline performance, and collaborate with technical presales, marketing, and customer success teams. The role requires enterprise IT infrastructure sales experience, data and AI domain knowledge, strong relationship-building skills, fluency in English, business-level German, and travel as needed.

Drive enterprise revenue growth in France by generating net-new pipeline, managing strategic customer relationships, qualifying opportunities with MEDDPIC, maintaining Salesforce CRM accuracy, presenting tailored demonstrations, and closing high-value deals. Collaborate with technical presales, marketing, and customer success teams while managing long sales cycles, forecasting pipeline, and communicating Arango’s strategic and financial value to complex enterprise accounts.

Leads technical sales engagements for enterprise AI and database customers. Responsibilities include owning strategic technical accounts, designing integration strategies, delivering presentations, demonstrations, proofs of concept, and architecting reliable solutions. The role also involves creating AI and database demos, evangelizing products through events and publications, advising clients, and providing product feedback. Requires extensive enterprise technical sales or consulting experience across AI, databases, big data, analytics, or machine learning.

Build and maintain reliable, scalable cloud infrastructure for Kubernetes-based distributed database systems on AWS and Google Cloud. Develop Golang automation, optimize CI/CD pipelines, implement monitoring and observability, troubleshoot complex infrastructure issues, and design disaster recovery and high-availability strategies. Participate in on-call support, incident response, and cross-functional efforts to improve system reliability and resolve customer issues.

Lead the design and development of the ArangoDB Kubernetes Operator, including lifecycle management, scaling, backups, replication, upgrades, and cluster automation. Ensure high availability, performance, observability, and stability for stateful ArangoDB deployments on Kubernetes. Collaborate across engineering teams, troubleshoot distributed systems, define deployment best practices, support AWS GovCloud expansion, and mentor contributors. U.S. citizenship is required, and active security clearance is preferred.

Own the end-to-end technical customer relationship for Arango’s AI product suite, from discovery and architecture through production deployment and expansion. Design graph, multi-model, GraphRAG, vector retrieval, agent, data pipeline, observability, security, and compliance solutions. Build prototypes, guide customer engineering teams, establish evaluation and monitoring practices, document reusable patterns, and provide product feedback. The role requires deep graph expertise, applied AI and Python skills, cloud and infrastructure experience, and excellent executive-to-engineering communication.

Build reference applications, quickstarts, sample repositories, benchmarks, technical content, talks, workshops, and live demonstrations for Arango’s GraphRAG and AI platform. Engage developer communities, evaluate retrieval performance transparently, support adoption, and provide prioritized product feedback. The role requires hands-on engineering experience with LLM applications, retrieval pipelines, cloud-native deployments, and developer tools.

Lead Arango’s strategic technology alliances across hyperscalers, data platforms, and AI ecosystem partners. Define partnership strategy, create joint solutions and technical integrations, develop co-sell and co-market motions, and drive partner-sourced and influenced pipeline and revenue. The role spans Product, Engineering, Sales, and Marketing, including partner enablement, marketplace listings, commercial frameworks, governance, success metrics, and ecosystem expansion. Travel is expected 30–50%.

Founding site manager for Arango's new Hyderabad office responsible for office leasing and setup, vendor and IT coordination, HR operations and legal compliance, recruiting and onboarding core engineering team, and acting as the local liaison to global HQ to track milestones and budgets.

Own technical customer relationships for Arango's AI product suite: run discovery, design graph and GraphRAG architectures, build prototypes, guide production deployment, define governance/monitoring, and enable customers while feeding product feedback.

Founding HR member for ArangoDB's new Hyderabad office supporting the Site Manager: lead recruitment and onboarding, ensure statutory compliance and employee recordkeeping, coordinate payroll provider, manage office setup and vendor relationships, handle facilities and IT logistics, assist with regulatory filings and POSH training, and support travel and event arrangements.

Manage adoption, retention, and expansion of strategic EMEA accounts through consultative onboarding, tailored success plans, executive alignment, QBRs, technical support, case management, and collaboration with Sales, Product, and Engineering to drive ROI and advocacy.

Manage India financial operations including general ledger, AP, bank reconciliations, fixed assets, payroll and statutory compliance (PF, ESI, GST, Income Tax, TDS). Maintain secretarial records, liaise with government authorities, support audits, and collaborate with international finance and HR on payroll, onboarding, and compliance.

Support full-cycle technical recruiting by managing ATS (JazzHR), screening resumes, sourcing candidates, coordinating interviews across time zones, tracking recruiting metrics, and communicating with candidates and recruiters. Gain hands-on recruiting operations experience and mentorship from Talent Acquisition professionals.

Provide hands-on technical support to customers deploying, operating, and scaling ArangoDB-based AI systems. Diagnose issues, optimize queries and performance, configure deployments across Kubernetes and cloud/on-prem, debug networking/storage, script automations, and document solutions while collaborating with Product and Engineering.