[Hiring] Senior Solutions Engineer @Arango

Role Description

As a Senior Solutions Engineer at ArangoDB, you will be responsible for driving strategic technical account roadmaps and engagement strategies for large enterprise opportunities and customers.

• 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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• Contributing to cutting-edge AI and data infrastructure.
• Collaborating with experienced engineers, marketers, and product leaders.
• Helping shape how enterprises build AI-powered applications.