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

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.

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.

Deploy and support distributed SaaS and on-premise infrastructure, gather customer requirements, adapt deployment manifests, monitor platform health, troubleshoot issues, package releases, and automate release pipelines across Kubernetes and AWS, GCP, and Azure environments.

Own renewals and expansion for an SMB customer portfolio, managing high-volume transactional sales cycles. Responsibilities include forecasting, negotiating, closing renewals, identifying usage-driven upsell and cross-sell opportunities, monitoring consumption data, preventing churn, engaging decision-makers, and partnering with Customer Success, Solutions Engineering, Product, and Support. The role requires selling a technical AI product to engineering and data science buyers while communicating customer patterns internally.

Own the end-to-end user experience for a technical B2B SaaS product. Responsibilities include researching user friction, observing sessions in FullStory, prototyping flows in Figma or code, refining interaction patterns, implementing design improvements, building reusable design systems, partnering with engineers, and conducting usability tests. The role emphasizes UX refinement, edge cases, loading and empty states, smooth transitions, and incorporating user feedback.

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.

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