Jobs at Arize AI

The AI Solutions Engineer will advise clients on ML and GenAI best practices, demonstrate product value, and drive business reviews and expansions.

Drive new business and grow enterprise accounts for Arize AI by prospecting, conducting discovery with AI/ML stakeholders, managing complex full-cycle sales and proof-of-concepts, and collaborating cross-functionally. Use strategic sales plays, deep account research, and stakeholder management to close deals and expand usage.

The role involves managing expansion and renewal sales cycles within existing accounts, identifying growth opportunities, and building executive relationships to drive revenue.

Partner with enterprise AI/ML teams to drive adoption and expansion of Arize's observability platform. Manage accounts, run discovery, workshops, and QBRs, collaborate with engineering to ensure smooth implementations, surface product feedback, and identify upsell opportunities to improve customers' AI outcomes.

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.

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.