Jobs at Arize AI

The role involves developing scalable backend systems in Go and other languages, building high-volume analytics, and designing APIs for ML workflows.

Manage and mentor engineers, contribute to product and infrastructure, drive projects, and collaborate cross-functionally to enhance AI platforms.

As a Senior AI Product Engineer, you will build scalable services and front-end applications, design APIs, and enhance AI product offerings, focusing on improving user experience and collaboration with engineering teams.

Design and prototype user experiences for AI tools, creating interactive visualizations and reusable components that enhance both human and AI interactions in the workspace.

As an AI Solutions Manager, you will foster relationships, drive customer adoption of AI solutions, manage renewals, and identify growth opportunities.

The Senior Content Strategist will produce high-quality technical content for AI systems, collaborating with engineers and researchers to create actionable workflows. They will define and execute content strategies, identify developer gaps, and use AI tools to enhance content creation while maintaining high standards.

The Events Manager will plan and execute events, build brand experiences, measure event outcomes, and grow the AI community, focusing on AI engineers and developers.

As a Technical Product Manager at Arize, you will strategize and develop the product roadmap, engage customers for feedback, collaborate with cross-functional teams, and integrate market insights into product requirements.

The AI Sales Engineer will build relationships with customers, lead product demonstrations, handle objections, and act as a domain expert in ML. Responsibilities include collaborating with sales and technical teams to create value propositions and developing educational materials about ML and MLOps.

As the Partner Product & Solutions Lead, you will manage technical partnerships, drive integration roadmaps, create content, enable partner teams, and generate co-sell revenue while promoting AI observability solutions.

The role involves enhancing user experience on the LLM platform through user research, prototyping, and implementing design solutions while collaborating closely with engineers.