Senior Solutions Engineer (Presales)

Arango delivers a unified, natively multimodel contextual data platform for AI agents, assistants, and applications. The Senior Solutions Engineer will own strategic technical account roadmaps, architect integrations, lead technical engagements, deliver demonstrations and proofs of concept, evangelize Arango’s AI suite, and solve complex client challenges.

Responsibilities:

• 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

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