Senior Solutions Engineer (Presales)

Reposted 24 Days Ago
Be an Early Applicant
San Francisco, CA, USA
In-Office
Senior level
Database • Analytics
The Role
Lead technical pre-sales for enterprise AI customers: own account technical strategy, architect integrations, deliver demos/PoCs, evangelize Arango's platform at events, and solve complex production AI/data problems while collaborating with product and engineering.
Summary Generated by Built In

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.


 

Skills Required

  • Located in the San Francisco Bay Area
  • Bachelor's degree in Computer Science or equivalent experience
  • 10+ years in technical sales or consulting for enterprise AI, databases, big data, analytics, or machine learning
  • Proven expertise with Docker, Kubernetes, and CI/CD pipelines
  • Experience with cloud-native architectures
  • Deep experience with vector databases, NoSQL databases, LLM integration, and RAG architectures
  • Fluency in Python and SQL
  • Experience with distributed database systems
  • Strong understanding of the enterprise sales cycle and technical pre-sales processes
  • High-energy, tenacious team player with strong interpersonal and communication skills
  • Experience with Graph databases or frameworks
  • Technical understanding of data and AI/ML tooling, workflows, and enterprise trends
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The Company
HQ: San Francisco, CA
110 Employees
Year Founded: 2014

What We Do

ArangoDB is the most scalable open-source graph database, with more than 12,000 stargazers on GitHub. Building on the concept of ‘graph and beyond’, ArangoDB combines the analytical power of graphs with JSON documents, a key-value store, and a full-text search engine, enabling developers to access and combine all of these data models with a single, elegant, declarative query language. It serves as the scalable backbone for graph analytics and complex data architectures across many industries. Founded in 2015, ArangoDB Inc. is a privately-held company backed by Bow Capital, Iris Capital, New Forge, and Target Partners. It is headquartered in San Francisco and Cologne, Germany, with offices and employees around the world. Learn more at www.arangodb.com.

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