Jobs at Arize AI

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.

Provide first-line support for on-premise customer infrastructure issues, monitor platform health, troubleshoot Kubernetes deployments, diagnose configuration, networking, and performance problems, apply fixes, escalate complex issues, and document resolutions in internal runbooks. The role requires cloud familiarity, strong troubleshooting and communication skills, and the ability to work autonomously with enterprise customers.

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 Arize’s product documentation and build automation to keep content accurate, detect code-documentation drift, test examples, and draft updates. Create tutorials, cookbooks, onboarding materials, and open-source demonstrations for developers and coding agents. Coordinate documentation with partners, frameworks, and course authors; gather community feedback; support marketing content; engage developers at events and online; and prototype product features with the Product team.

Create and distribute technical education about AI observability and evaluation through blogs, tutorials, videos, webinars, courses, conference talks, and workshops. Build demo applications and AI-assisted content production pipelines, adapt research across channels, engage developer communities, and provide product feedback. The role requires strong engineering, writing, speaking, teaching, and presentation skills, plus regular conference travel and occasional evening or weekend events.

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.

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 an AI Application Engineer, you will debug and improve platforms, develop AI tools and proof-of-concepts, and collaborate across teams to enhance AI systems.

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

Partner with Account Executives to present Arize's GenAI observability platform, lead technical demos and discovery, design and run PoCs, advise on GenAI/LLM best practices, handle technical objections, and build relationships with technical and business stakeholders across prospective customers.

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

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.

The Account Executive will manage expansion and renewal sales within existing accounts, develop growth opportunities, and build executive relationships to drive long-term revenue and customer success.

The Account Executive will develop relationships with AI/ML stakeholders, manage sales cycles, and drive account growth, focusing on new customer acquisition and support.

Partner with SMB and Mid-Market AI/ML teams to drive adoption, run onboarding workshops, demo product capabilities, identify expansion opportunities, own renewals and upsells, and coordinate with Solutions and Application Engineering to deliver technical implementations and business value.

Partner with enterprise AI teams to design, implement, and scale production-grade generative AI observability and evaluation programs. Lead technical discussions, build custom integrations and tooling, manage multiple client engagements from scoping to delivery, and drive best practices across cross-functional teams to influence product and expand customer impact.