Jobs at Arize AI

The Senior DevOps Engineer will handle infrastructure for scalable services, automate release pipelines, and work directly with customers to meet their infrastructure needs. They will also contribute to monitoring and feature testing in both SaaS and on-prem environments.

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.

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.

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.

Own expansion and renewal sales within existing enterprise accounts, identify growth opportunities via usage analysis and whitespace mapping, build executive relationships, define account strategies with cross-functional teams, articulate technical and commercial value, forecast pipeline, maintain Salesforce hygiene, and travel as needed to engage customers on-site.

Partner with EMEA AI/ML teams to drive adoption of Arize's observability platform, manage accounts through onboarding and renewals, run workshops/QBRs, identify upsell opportunities, and coordinate technical resources to ensure customers achieve measurable AI outcomes.

Customer-facing ML/GenAI engineer who advises customers, runs demos and strategic reviews, drives product adoption, partners with sales and engineering, and helps expand accounts by implementing best practices for production ML/LLM systems.

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.

As a Senior DevOps Engineer, you will manage infrastructure for scalable services, gather customer requirements, optimize release pipelines, and work with cloud-native architectures on both SaaS and on-prem deployments.

The Forward Deployed Engineer will work with client engineering teams to design and implement GenAI observability programs, manage projects, and maintain client relationships, requiring strong technical and communication skills.

The Account Executive will find, win, and grow new customers in the AI/ML sector, managing complex sales cycles and relationships with stakeholders.

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 Solutions Manager, you will drive customer adoption of AI technologies, build relationships, conduct discovery, and collaborate with technical teams to address customer needs, focusing on measurable business outcomes.

The Account Executive will build relationships in the AI/ML community, manage sales cycles, and drive adoption of Arize's AI solutions, focusing on enterprise clients.

The Senior DevOps Engineer will manage infrastructure for scalable services, gather requirements from clients, optimize release pipelines, and enhance monitoring tools, working closely with product teams and various cloud platforms.

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.