Teams at Arize AI

Deploy and support distributed SaaS and on-premise infrastructure, gather customer requirements, adapt deployment manifests, monitor platform health, troubleshoot issues, package releases, and automate release pipelines across Kubernetes and AWS, GCP, and Azure environments.

Own renewals and expansion for an SMB customer portfolio, managing high-volume transactional sales cycles. Responsibilities include forecasting, negotiating, closing renewals, identifying usage-driven upsell and cross-sell opportunities, monitoring consumption data, preventing churn, engaging decision-makers, and partnering with Customer Success, Solutions Engineering, Product, and Support. The role requires selling a technical AI product to engineering and data science buyers while communicating customer patterns internally.

Own the end-to-end user experience for a technical B2B SaaS product. Responsibilities include researching user friction, observing sessions in FullStory, prototyping flows in Figma or code, refining interaction patterns, implementing design improvements, building reusable design systems, partnering with engineers, and conducting usability tests. The role emphasizes UX refinement, edge cases, loading and empty states, smooth transitions, and incorporating user feedback.