Customer Engineer

💡 About the role

As our first Customer Engineer, you should expect to:

• Act as the primary technical advisor to Onyx’s rapidly growing customer base, providing expert support and building strong relationships
• Guide customers through their self-hosted deployments across different clouds (AWS, GCP, Azure, etc.) and deployment methods (Docker Compose, Kubernetes, AWS ECS, Helm, etc.)
• Debug and patch tricky, deployment-specific issues with customers
• Work with our open source community to resolve common setup issues.
• Contribute features to eliminate common deployment issues
• Create a seamless onboarding experience by developing comprehensive documentation that enables open-source users to easily deploy Onyx in their own cloud environments
• Work with customers to find the best use cases for Onyx, maximizing our impact and value
• Be the voice of the customer and bridge the gap between customers and product. Relay product insights and customer feedback to founders/engineering and help shape the direction of product

🚀 You’ll be successful in this role if you…

• Have 2+ years of experience as a Customer Engineer / Solutions Engineer / Deployed Engineer at a enterprise facing software company OR have 2+ years of experience in DevOps / Software Engineering and have an interest in shifting to a more customer-facing role
• Experience with Docker/Kubernetes, cloud technologies (AWS, GCP, Azure), and on-prem/cloud deployments
• Are a great multitasker, able to stay organized among competing priorities, and can pivot and adapt at a moment’s notice
• Excellent communication skills, with a strong ability to collaborate with others (both teammates and external customers). Ability to explain complex engineering/infrastructure concepts and tradeoffs to customers in a simple way.
• Experience working in a fast-moving startup and in small teams with minimal guidance.

⭐ Bonus points

• You’ve worked closely with customers to help them self-host software on their own infrastructure
• Experience with technical writing / large scale documentation
• Experience with Typescript/React/NextJS, Python, Relational DB (Postgres), and Vespa or Elasticsearch
• Experience (or even just interest) in information retrieval and AI (NLP, Deep Learning, GenAI)

• Non-technical Phone Screen
• Mock Deployment Debugging (technical, 45 mins)
• 2 Day Onsite Trial (fully covered + compensated)