Work as a senior fullstack engineer on Arize's AI observability platform, writing maintainable, scalable code primarily in TypeScript and React with opportunities in Python and Go. Responsibilities include API and domain model design, building reusable React components, researching and implementing visualization and dimensionality reduction algorithms in distributed environments, collaborating with product/design/customers, and contributing to architecture, code reviews, and documentation. Requires 5+ years frontend experience. Salary range listed: $125,000–$225,000/year.

Role on the Backend Engineering team to design, build, and maintain scalable analytics and backend services for an ML/LLM observability platform. Responsibilities include developing APIs, working with OLAP and distributed systems, integrating collection and monitoring tools, and contributing to open-source components. Requires 5+ years of backend experience and strong proficiency in languages such as Go, Python, Java, or TypeScript.

Arize AI is hiring a Senior Design Engineer to build product interfaces and Agent Experience (AX) primitives for Arize Phoenix. The role combines frontend engineering (React, TypeScript) and design work—prototyping visualizations (embeddings, traces, evaluations), developing design system components, and enabling human-agent collaboration. Estimated salary: $175,000–$200,000/year.

Arize AI is hiring an AI Solutions Manager to own a portfolio of enterprise accounts, conduct discovery with AI/ML teams, run onboarding and QBRs, monitor usage, and drive renewals and expansion. The role blends solutions consulting, customer engagement, and product feedback. Requirements include 3+ years in customer success/solutions consulting/technical account management, working knowledge of AI/ML or agent development, ability to demo technical products, and familiarity with Python or SQL. Estimated annual salary range: $165,000–$215,000 (USD).

Arize AI seeks an AI Sales Engineer to partner with account executives to articulate product value, lead product demonstrations and Proofs of Concept, and advise customers on GenAI/ML best practices. Requires 3+ years in a customer-facing technical role, proficiency in Python/TypeScript, and familiarity with LLMs, agent frameworks, and AI evaluation/observability.