ArangoDB

Senior Solutions Engineer (Presales)

ArangoDB
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4 hours ago
Remote, United StatesSenior

Responsibilities

  • Own strategic technical account roadmaps and engagement strategies for large enterprise opportunities and customers.
  • Architect and lead integration strategies across customer accounts to support horizontal expansion.
  • Lead deep technical engagements and build trusted relationships with senior technical stakeholders.
  • Create and deliver technical presentations, demonstrations, and PoCs/PoTs showcasing Arango’s capabilities.
  • Build functional real-world demos incorporating Arango’s database and AI capabilities.
  • Evangelize Arango’s AI suite at industry events, webinars, and panel discussions.
  • Contribute to technical whitepapers and provide product feedback to the wider community.
  • Solve complex client technical challenges by architecting optimal and reliable solutions.

Requirements

  • Bachelor’s degree in Computer Science or relevant experience.
  • 10+ years of experience in technical sales or consulting for enterprise AI, databases, big data systems, analytics, or machine learning.
  • Proven expertise with Docker, Kubernetes, CI/CD pipelines, and cloud-native architectures.
  • Deep experience with vector/NoSQL databases, LLM integration, and RAG architectures.
  • Ability to map complex business requirements to robust technical solutions.
  • Fluency in Python and SQL, with experience in distributed database systems.
  • Strong understanding of the enterprise sales cycle.
  • Outstanding interpersonal skills, tenacity, teamwork, high energy, and continuous-learning orientation.
  • Preferred: experience with graph databases or frameworks and technical understanding of enterprise data and AI/ML tooling, workflows, and trends.

Benefits

  • Work-from-home arrangement.
  • Travel to client locations is required.
  • Opportunity to contribute to AI and data infrastructure and collaborate with engineering, marketing, and product leaders.
  • Opportunity to help shape enterprise AI-powered applications and the contextual data layer for AI.

Categories

Solutions Engineering
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