Director of Strategic Technologies Alliances
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Arango
San Francisco, CA, US
Summary
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.
Job Description
Director of Strategic Technologies Alliances
About Arango:
Arango delivers a unified, natively multimodel contextual data platform that powers AI agents, assistants, and applications with the unified, current, and trusted business context needed to reason, decide, and act at scale.
The Arango Contextual Data Platform connects fragmented enterprise data with LLMs, copilots, and AI agents through a simplified architecture delivered out of the box. By combining graph, vector, document, key-value, and search capabilities in a single platform, Arango eliminates the complex stacks many organizations build to operationalize enterprise AI.
Trusted by organizations including NVIDIA, HPE, the London Stock Exchange, PSI CRO, the U.S. Air Force, NIH, Siemens, Transient.AI, Matpriskollen, and Articul8, Arango helps enterprises move from AI pilots to reliable production systems faster while lowering infrastructure complexity and total cost of ownership. Arango is a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. Learn more at arango.ai, LinkedIn, and G2.
Location: US (Remote, Bay Area) | Travel: 30-50%
Reports To: CPO / CTO
Compensation: Base + Performance Bonus
Role Overview
We are entering a critical phase of growth—evolving from foundational partnerships to a scaled ecosystem of strategic technology alliances that drive product innovation and revenue.
We are seeking a Director of Strategic Technology Alliances to define and execute our partner strategy with hyperscalers and leading ISVs such as AWS, Google Cloud, Snowflake, OpenAi, Anthropic, Databricks, NVIDIA, IBM, and emerging AI platform providers.
This is not a traditional alliance role. This is a builder role at the intersection of Product, Engineering, and GTM focused on:
- Creating joint solutions and offerings
- Driving co-development and technical integrations
- Building repeatable GTM and commercial models
- Delivering measurable pipeline and revenue impact
You will own the strategy and execution to turn partnerships into a durable growth engine for Arango.
What You’ll Do
1. Strategic Alliance & Ecosystem Development
- Define and execute Arango’s 3–5 year strategic alliances vision across hyperscalers and ISVs
- Prioritize and build deep partnerships with platforms such as AWS, Google Cloud, Snowflake, Databricks, NVIDIA, IBM, and leading AI ecosystem players
- Establish clear partnership archetypes (co-build, co-sell, co-market) with defined success models
- Position Arango as a core contextual data layer within partner ecosystems
2. Joint Solution & Product Development (Core Focus)
- Lead creation of joint solutions, reference architectures, and packaged offerings
- Drive co-development initiatives including:
- Technical Proof of Concepts (POCs)
- MVPs and production-ready integrations
- Industry-specific solution blueprints (e.g., fraud, supply chain, cybersecurity, AI copilots)
- Partner closely with Product & Engineering to influence roadmap based on partner ecosystem opportunities
- Ensure solutions are repeatable, scalable, and differentiated
3. Go-To-Market & Commercial Strategy
- Design and operationalize joint GTM strategies, including:
- Co-selling motions with field teams
- Marketplace listings (AWS, GCP, etc.)
- Joint value propositions and messaging
- Develop commercial frameworks:
- Pricing and packaging for joint offerings
- Incentive alignment with partner sales teams
- Deal acceleration strategies
- Partner with Marketing to drive:
- Joint campaigns
- Events, webinars, and field activation
- Thought leadership in Contextual AI
4. Partner Activation & Revenue Execution
- Build a structured motion to move partners from:
Onboarding → Enablement → Pipeline → Revenue - Enable partner field teams with:
- Solution playbooks
- Demo assets and POCs
- Technical training and certifications
- Actively support strategic deals:
- Align with AEs/SEs on partner-sourced and influenced opportunities
- Drive co-sell execution and deal progression
5. Ecosystem Expansion
- Expand beyond current partnerships (e.g., NVIDIA, AWS) into a broader AI and data ecosystem
- Identify emerging partners across:
- Data platforms
- AI/ML tooling
- Industry SaaS providers
- Build solution-led entry points into new markets via partners
6. Operational Excellence
- Define and track partner success metrics, including:
- Pipeline contribution
- Revenue influence
- Solution adoption
- Establish cadence and governance models with key partners
- Continuously optimize:
- Partner enablement
- Solution lifecycle management
- GTM effectiveness
What We’re Looking For
Experience
- 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
Capabilities
- Strong technical fluency:
- Ability to build or guide POCs, demos, and solution architectures
- Familiarity with modern data/AI stacks (graph, vector, LLM ecosystems)
- Deep understanding of:
- Cloud ecosystems (AWS, GCP, Azure)
- Data platforms (Snowflake, Databricks)
- AI/ML landscape
- Ability to operate as a cross-functional leader across Product, Engineering, Sales, and Marketing
- Exceptional executive presence and partner influence skills
Mindset
- Builder mentality: thrives in 0→1 and 1→N environments
- Commercially driven with strong product intuition
- Comfortable owning both strategy and execution
- Willingness to travel extensively (30–50%)
Success Metrics (First 12–18 Months)
- Launch 5+ joint solutions / offerings with strategic partners
- Build repeatable GTM motions with at least 3–4 key partners
- Deliver meaningful partner-sourced and influenced pipeline
- Establish Arango as a recognized solution layer within key ecosystems
- Drive co-sell adoption across partner field organizations
- Create scalable frameworks for partner enablement and execution
Why This Role Matters
This role sits at the heart of Arango’s next phase of growth.
Our success in the AI era depends on becoming the context layer embedded across the ecosystem—not just a standalone platform. Strategic alliances are how we:
- Extend our reach
- Accelerate product innovation
- Win in complex enterprise environments
You will define how Arango shows up in the ecosystems that matter most.
What Makes Arango Special?
At Arango, we believe that AI is only as powerful as the data foundation. Our mission is to help organizations build AI systems that can reason, decide and act based on unified, current, and trusted business context at scale. We are helping define a new category of infrastructure: the contextual data layer for AI.
Working at Arango means:
- Contributing to cutting-edge AI and data infrastructure
- Collaborating with experienced engineers, marketers, and product leaders
- Helping shape how enterprises build AI-powered applications
If you're excited about the intersection of AI, data, and social media, we’d love to hear from you.
Arango provides the trusted data foundation for enterprise AI through its Contextual Data Platform, transforming fragmented enterprise data into a contextual data layer that enables AI systems to operate with business context at scale.
The Arango Contextual Data Platform gives developers a single, integrated environment to build and run AI-powered applications, agents, and assistants without stitching together multiple databases, search systems, and AI infrastructure. It combines a multimodel data foundation—graph, vector, document, and key-value—with built-in search and governance capabilities. This enables AI agents to ground responses in enterprise context, navigate relationships across data types, and take reliable, state-aware actions based on real-time data.
The Arango Agentic AI Suite is the agent layer of the Arango Contextual Data Platform—connecting LLMs to governed enterprise data through contextual retrieval and tool-based execution.
It turns fragmented data into context-rich knowledge graphs using AutoGraph and multi-modal RAG pipelines (GraphRAG, VectorRAG, and HybridRAG), enabling agents to reason over relationships—not just retrieve documents.
Core capabilities include:
→ multimodal ingestion + AutoGraph for automated knowledge graph creation
→ GraphRAG and natural-language querying via AQLizer
→ Graph Visualizer for interactive exploration and explainability
→ Graph Analytics and GraphML for relationship-driven insights
→ integration with LLMs and ML tooling for agent execution
The result: context-aware, governed agent workflows that enable agents to reason, decide, and act with full business context, delivering explainable and auditable outcomes.
Trusted by NVIDIA, HPE, the London Stock Exchange, the U.S. Air Force, NIH, and Articul8, Arango powers enterprise AI with context, confidence, and scale.
We are a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. Learn more at arango.ai, LinkedIn, and YouTube.
Founded
2015
Company size
51-200 employees
Industry
Software Development
Org type
Privately Held
Headquarters
San Francisco, CA
Arango provides the trusted data foundation for enterprise AI through its Contextual Data Platform, transforming fragmented enterprise data into a contextual data layer that enables AI systems to operate with business context at scale.
The Arango Contextual Data Platform gives developers a single, integrated environment to build and run AI-powered applications, agents, and assistants without stitching together multiple databases, search systems, and AI infrastructure. It combines a multimodel data foundation—graph, vector, document, and key-value—with built-in search and governance capabilities. This enables AI agents to ground responses in enterprise context, navigate relationships across data types, and take reliable, state-aware actions based on real-time data.
The Arango Agentic AI Suite is the agent layer of the Arango Contextual Data Platform—connecting LLMs to governed enterprise data through contextual retrieval and tool-based execution.
It turns fragmented data into context-rich knowledge graphs using AutoGraph and multi-modal RAG pipelines (GraphRAG, VectorRAG, and HybridRAG), enabling agents to reason over relationships—not just retrieve documents.
Core capabilities include:
→ multimodal ingestion + AutoGraph for automated knowledge graph creation
→ GraphRAG and natural-language querying via AQLizer
→ Graph Visualizer for interactive exploration and explainability
→ Graph Analytics and GraphML for relationship-driven insights
→ integration with LLMs and ML tooling for agent execution
The result: context-aware, governed agent workflows that enable agents to reason, decide, and act with full business context, delivering explainable and auditable outcomes.
Trusted by NVIDIA, HPE, the London Stock Exchange, the U.S. Air Force, NIH, and Articul8, Arango powers enterprise AI with context, confidence, and scale.
We are a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. Learn more at arango.ai, LinkedIn, and YouTube.
Founded
2015
Company size
51-200 employees
Industry
Software Development
Org type
Privately Held
Headquarters
San Francisco, CA