Senior Solutions Engineer
Quick Summary
Fluency in Python, SQL, and experience with distributed database systems. Sales Process: Strong understanding of the enterprise sales cycle. Soft Skills: High-energy,
Senior Solutions Engineer
About ArangoDB
Arango makes your business data AI-ready, giving agents, apps, and assistants trusted context at scale. Every answer is traceable. Every decision is governed. No more stitching together a vector store, a graph database, a search index, and a governance layer added as an afterthought. Arango’s Contextual Data Platform has it all built in, not bolted on.
Trusted by organizations including NVIDIA, HPE, Zscaler, the London Stock Exchange, the U.S. Air Force, NIH, Siemens, 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.
Stop building Frankenstacks. Start building with Arango. Learn more at arango.ai
We believe great innovation happens when curious, driven people collaborate. We are committed to building a diverse and inclusive team and supporting our employees and interns as they learn, grow, and contribute to shaping the future of enterprise AI.
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.
- 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.
- 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
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.
Location & Eligibility
Listing Details
- Posted
- June 26, 2026
- First seen
- June 27, 2026
- Last seen
- July 3, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- June 27, 2026
Signal breakdown
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