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Arango

Multi-model database with open-source and enterprise

Director of Strategic Technologies Alliances

Business Development & PartnershipsConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • 12–15+ years of experience in strategic alliances, product partnerships, or ecosystem development.
  • A proven track record building joint solutions and co-development programs with hyperscalers or independent software vendors.
  • Experience driving measurable revenue through partner-led motions.
  • Ability to build or guide proofs of concept, demos, and solution architectures.
  • Familiarity with modern data and AI stacks, including graph, vector, and large language model ecosystems.
  • Deep understanding of cloud ecosystems, including AWS, Google Cloud Platform, and Azure; data platforms, including Snowflake and Databricks; and the AI and machine-learning landscape.
  • Ability to operate as a cross-functional leader across Product, Engineering, Sales, and Marketing.
  • Willingness to travel extensively (30–50%).

Responsibilities

  • Define and execute Arango’s 3–5 year strategic alliances vision across hyperscalers and independent software vendors.
  • Prioritize and build deep partnerships with platforms such as AWS, Google Cloud, Snowflake, Databricks, NVIDIA, IBM, and AI ecosystem players.
  • Establish partnership archetypes for co-building, co-selling, and co-marketing, with defined success models.
  • Position Arango as a core contextual data layer within partner ecosystems.
  • Lead the creation of joint solutions, reference architectures, and packaged offerings.
  • Drive co-development initiatives, including technical proofs of concept, minimum viable products, production-ready integrations, and industry-specific solution blueprints.
  • Partner with Product and Engineering to influence the roadmap based on partner ecosystem opportunities, ensuring solutions are repeatable, scalable, and differentiated.
  • Design and operationalize joint go-to-market strategies, including co-selling motions, marketplace listings, and joint value propositions and messaging.
  • Develop commercial frameworks for pricing and packaging, partner sales-team incentive alignment, and deal acceleration.
  • Partner with Marketing to drive joint campaigns, events, webinars, field activation, and thought leadership in Contextual AI.
  • Build a structured partner motion from onboarding and enablement through pipeline and revenue.
  • Enable partner field teams with solution playbooks, demo assets, proofs of concept, technical training, and certifications.
  • Support strategic deals by aligning with account executives and sales engineers on partner-sourced and partner-influenced opportunities, and driving co-sell execution and deal progression.
  • Expand existing partnerships into a broader AI and data ecosystem; identify emerging partners across data platforms, AI and machine-learning tooling, and industry software-as-a-service providers.
  • Build solution-led entry points into new markets through partners.
  • Define and track partner success metrics, including pipeline contribution, revenue influence, and solution adoption.
  • Establish cadence and governance models with key partners.
  • Continuously optimize partner enablement, solution lifecycle management, and go-to-market effectiveness.

About the Company

Arango

Multi-model database with open-source and enterprise

ArangoDB provides a multi-model database that can store documents, graphs, and key-value data all in one system. It uses a single engine and query language to manage different data models, allowing users to run diverse workloads with one database. The product comes in an open-source version (free) and an enterprise version (paid) that adds advanced features, stronger security, and premium support; the company also earns revenue from consulting services and training. Compared with competitors, ArangoDB stands out by integrating multiple data models in one database, enabling flexible data modeling and cross-model queries without needing separate databases. Its goal is to simplify data management for tech startups, large enterprises, and academic institutions by providing a versatile, scalable database solution with dependable support and services.

Company size
51-200
Company stage
Series B
Total funding
$46.9M
Headquarters
San Francisco, CA
Founded
2014

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