Arize AI
This role focuses on deploying and managing Arize's AI observability platform within customer environments, requiring hands-on work with scalable infrastructure and cloud-native architectures. The position involves collaborating directly with customers to define infrastructure needs, adapting software for various environments, and optimizing release pipelines for reliability and performance. The ideal candidate will leverage expertise in Kubernetes and multiple cloud providers to ensure seamless on-premise and SaaS operations.
Arize AI is a managed AI engineering platform for building, evaluating, and continuously improving AI agents and LLM applications. Its flagship product, Arize AX, provides end-to-end agent observability, tracing, online evaluations, and continual learning workflows to help teams monitor and improve production AI systems. Arize also offers Phoenix, an open-source observability and evaluation tool built on OpenInference and OpenTelemetry standards, used by AI engineers to trace, debug, and evaluate AI applications locally or self-hosted.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Arize AI.
73% above the average for this role
Arize AI hopes it has first-mover advantage in AI observability
Feb 20, 2025