Senior Solutions Engineer (Presales)

Arango is a company dedicated to making business data AI-ready through its Contextual Data Platform. The Senior Solutions Engineer will drive technical account management and integration strategies while leading technical engagements and crafting impactful demonstrations of Arango's solutions.

Responsibilities:

• Drive the strategic technical account roadmap and engagement strategy for our large enterprise opportunities and customers
• Architect and lead integration strategies across customer accounts to drive horizontal expansion
• Lead deep technical engagements and build trusted relationships with senior technical stakeholders
• 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
• Build functional, real-world demos incorporating our core database and AI capabilities
• 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
• Solve complex technical challenges for our clients by architecting optimal, reliable solutions

Requirements:

• 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
• Proven expertise in Docker, Kubernetes, CI/CD pipelines, and cloud-native architectures
• Deep experience with vector/NoSQL databases, LLM integration, and RAG architectures
• Strong ability to map complex business requirements to robust technical solutions
• Fluency in Python, SQL, and experience with distributed database systems
• Strong understanding of the enterprise sales cycle
• High-energy, tenacious team player with outstanding interpersonal skills, and a perpetual learner
• Experience with Graph databases or frameworks
• Technical understanding of data and AI/ML tooling, workflows, and trends in an enterprise setting