Senior Solutions Engineer (Presales)

Arango

United States

Remote

USD 180,000 - 260,000

Full time

8 days ago
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Job summary

Arango is seeking a Senior Solutions Engineer to lead strategic technical engagement with enterprise clients. You will architect integration strategies, deliver technical demos, and drive PoCs/PoTs that highlight Arango’s unified data platform for AI workloads.

You will build trusted relationships with senior stakeholders, evangelize Arango’s AI suite at industry events, and guide clients toward scalable, robust data solutions that leverage graph, vector, document, and NoSQL capabilities.

Qualifications

  • Bachelor’s degree in Computer Science or a related field is required.
  • 10+ years in technical sales or consulting for enterprise AI, databases, big data systems, analytics, or machine learning.
  • Deep experience with vector/NoSQL databases, LLM integration, and RAG architectures.

Responsibilities

  • Strategic Account Ownership: drive strategic technical account roadmap and engagement strategy for large enterprise opportunities and customers.
  • Integration Strategy: architect and lead integration strategies across customer accounts to drive horizontal expansion.
  • Technical Leadership: lead deep technical engagements and build trusted relationships with senior technical stakeholders.
  • Solution Engineering: craft and deliver high-impact technical presentations, architecturally sound demos, and PoCs/PoTs showcasing Arango’s capabilities.
  • Innovation & Evangelism: build functional demos incorporating core database and AI capabilities.
  • Thought Leadership & Community: evangelize Arango’s AI suite at events, webinars, and panels; contribute to whitepapers and product feedback.
  • Client Success: solve complex technical challenges by architecting reliable solutions.

Skills

Enterprise AI experience
Big data analytics
NoSQL databases
LLM integration
Python
SQL
Cloud-native architectures
Docker
Kubernetes
Strong communication

Education

Bachelor’s degree in Computer Science

Tools

Docker
Kubernetes
CI/CD

Job description

Senior Solutions Engineer

About ArangoDB

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: West Coast, Bay Area

Only candidates located in the San Francisco Bay Area will be considered for the position. While this is a work-from-home role, some travel to client locations will be required.

You Will:
  • Strategic Account Ownership: Drive the strategic technical account roadmap and engagement strategy for our large enterprise opportunities and customers.
  • Integration Strategy: Architect and lead integration strategies across customer accounts to drive horizontal expansion.
  • Technical Leadership: Lead deep technical engagements and build trusted relationships with senior technical stakeholders.
  • Solution Engineering: Craft and deliver high-impact technical presentations, architecturally sound demonstrations, and PoCs/PoTs that showcase Arango’s competitive advantage against legacy NoSQL and ML/AI stacks.
  • Innovation & Evangelism: Build functional, real-world demos incorporating our core database and AI capabilities.
  • Thought Leadership & Community: Evangelize Arango’s AI suite at industry events, webinars, and panel discussions; contribute to technical whitepapers, and provide critical product feedback to the wider community.
  • Client Success: Solve complex technical challenges for our clients by architecting optimal, reliable solutions.
Your Skills:
  • Experience & Education: Bachelor’s degree in Computer Science or relevant experience; 10+ years in technical sales or consulting for enterprise AI, databases, big data systems, analytics, or machine learning.
  • Infrastructure & DevOps: Proven expertise in Docker, Kubernetes, CI/CD pipelines, and cloud-native architectures.
  • Data & AI Stack: Deep experience with vector/NoSQL databases, LLM integration, and RAG architectures.
  • Architecture: Strong ability to map complex business requirements to robust technical solutions.
  • Technical Proficiency: Fluency in Python, SQL, and experience with distributed database systems.
  • Sales Process: Strong understanding of the enterprise sales cycle.
  • Soft Skills: High-energy, tenacious team player with outstanding interpersonal skills, and a perpetual learner.

Extra points for:

  • Experience with Graph databases or frameworks
  • Technical understanding of data and AI/ML tooling, workflows, and trends in an enterprise setting
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.

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