
51 - 200 employees
Founded 2015
🏥 Healthcare
📦 Logistics
💼 Consulting
💰 $27.8M Series B on 2021-10
Healthcare • Logistics • Consulting
ArangoDB is a flexible and scalable graph database platform designed for a variety of applications, particularly in a data-intensive environment like Generative AI. It supports multiple data models including graph, vector, document, full-text search, and geospatial databases, all within a single unified system. This allows developers to efficiently navigate complex data interactions and perform advanced analytics, making it ideal for sectors such as healthcare, finance, telecommunications, and more.
🔥 1 hour ago
Where this job comes from
Posted on ArangoDB's careers page, not through a job board
First seen by Remote Rocketship 1 hour ago
Still open on ArangoDB's site. Checked 31 minutes ago.

51 - 200 employees
Founded 2015
🏥 Healthcare
📦 Logistics
💼 Consulting
💰 $27.8M Series B on 2021-10
Healthcare • Logistics • Consulting
ArangoDB is a flexible and scalable graph database platform designed for a variety of applications, particularly in a data-intensive environment like Generative AI. It supports multiple data models including graph, vector, document, full-text search, and geospatial databases, all within a single unified system. This allows developers to efficiently navigate complex data interactions and perform advanced analytics, making it ideal for sectors such as healthcare, finance, telecommunications, and more.
• Define and execute Arango’s 3–5 year strategic alliances vision across hyperscalers and ISVs • Build deep partnerships with AWS, Google Cloud, Snowflake, Databricks, NVIDIA, IBM, and leading AI ecosystem players • Establish partnership archetypes such as co-build, co-sell, and co-market • Position Arango as a core contextual data layer within partner ecosystems • Lead joint solutions, reference architectures, packaged offerings, POCs, MVPs, production-ready integrations, and industry-specific solution blueprints • Partner with Product and Engineering to influence the roadmap based on ecosystem opportunities • Design and operationalize joint GTM strategies, co-selling motions, marketplace listings, value propositions, and messaging • Develop pricing, packaging, incentive alignment, and deal acceleration frameworks for joint offerings • Partner with Marketing on campaigns, events, webinars, field activation, and thought leadership • Build partner activation from onboarding through enablement, pipeline, and revenue • Create solution playbooks, demo assets, POCs, technical training, and certifications for partner field teams • Support strategic deals and drive co-sell execution and deal progression • Expand Arango’s ecosystem across data platforms, AI/ML tooling, and industry SaaS providers • Define partner success metrics including pipeline contribution, revenue influence, and solution adoption • Establish partner cadence and governance models • Optimize partner enablement, solution lifecycle management, and GTM effectiveness • Deliver first 12–18 month outcomes including 5+ joint solutions, repeatable GTM motions with 3–4 partners, partner-sourced and influenced pipeline, co-sell adoption, and scalable enablement frameworks
• 12–15+ years in strategic alliances, product partnerships, or ecosystem development • Proven track record building joint solutions and co-development programs with hyperscalers or ISVs • Experience driving measurable revenue through partner-led motions • Strong technical fluency, including the ability to build or guide POCs, demos, and solution architectures • Familiarity with modern data/AI stacks, including graph, vector, and LLM ecosystems • Deep understanding of cloud ecosystems such as AWS, GCP, and Azure • Knowledge of data platforms such as Snowflake and Databricks • Understanding of the AI/ML landscape • Ability to operate as a cross-functional leader across Product, Engineering, Sales, and Marketing • Exceptional executive presence and partner influence skills • Builder mentality and comfort with 0→1 and 1→N environments • Commercially driven with strong product intuition • Comfortable owning both strategy and execution • Willingness to travel extensively (30–50%) • Role is listed as US (Remote, Bay Area); application asks whether the candidate lives in the Bay Area
• Performance bonus • Remote work arrangement • Opportunity to contribute to cutting-edge AI and data infrastructure • Collaboration with experienced engineers, marketers, and product leaders • Opportunity to shape how enterprises build AI-powered applications
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