
51 - 200 employees
Founded 2015
☁️ SaaS
🤖 Artificial Intelligence
💰 $27.8M Series B on 2021-10
Software • SaaS • Artificial Intelligence
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.
🕒 Yesterday
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51 - 200 employees
Founded 2015
☁️ SaaS
🤖 Artificial Intelligence
💰 $27.8M Series B on 2021-10
Software • SaaS • Artificial Intelligence
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 • Prioritize and build deep partnerships with platforms such as AWS, Google Cloud, Snowflake • Lead creation of joint solutions, reference architectures, and packaged offerings • Design and operationalize joint GTM strategies • Build a structured motion to move partners from Onboarding to Revenue • Identify emerging partners across Data platforms, AI/ML tooling, Industry SaaS providers • Define and track partner success metrics
• 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 • Familiarity with modern data/AI stacks (graph, vector, LLM ecosystems) • Deep understanding of Cloud ecosystems (AWS, GCP, Azure) and Data platforms (Snowflake, Databricks) • Ability to operate as a cross-functional leader across Product, Engineering, Sales, and Marketing • Exceptional executive presence and partner influence skills
• Travel: 30-50% • Base + Performance Bonus
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