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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.

Lead and scale the mid-market sales team focused on digital-native companies, develop strategic initiatives, and drive revenue growth while fostering a high-performance culture.

As an AI Solutions Manager, you'll nurture AI/ML customer relationships, drive product adoption, and ensure client success through tailored solutions and account management.

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

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.

The Technical Product Marketing Manager will enhance developer engagement and growth through effective messaging and experiences with the Arize ecosystem, focusing on Phoenix.

The Account Executive will engage with AI/ML leaders, drive sales strategies, manage accounts, and facilitate proof of concept engagements to grow new customers.

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