Jobs at Arize AI

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.

Design and open-source LLM observability libraries, pipelines, and APIs; collaborate with the OSS community; prototype LLM techniques; integrate tooling into Arize's platform to improve debugging, evaluation, and metrics; and produce docs, tutorials, and evangelism to grow the LLM evaluation community.

Own expansion and renewal sales within an enterprise customer base. Identify growth opportunities via usage analysis, build executive relationships, execute account strategies with internal teams, forecast and maintain Salesforce hygiene, and travel as needed to drive upsell and long-term expansion.

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

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.

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

The role involves managing cloud partnerships, driving revenue growth, coordinating field enablement, and optimizing marketplace operations across major cloud platforms.

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