Search the 10 jobs at Arize AI

Design and build user interfaces for an AI observability platform. Collaborate with product managers and engineers.

As a Senior Fullstack Engineer, you will write maintainable and scalable server-side Javascript for a real-time SaaS application. You will design and build performant and reusable react components, participate in architectural decisions, and contribute to code reviews and technical documentation. We are looking for someone with 5+ years of frontend experience, expertise in client-side Javascript, experience with responsive web designs, and strong knowledge of performance optimization.

Own, strategize, and develop a large portion of the core product roadmap. Engage with customers to gather feedback and drive product strategy into production. Utilize ML knowledge to contribute to the main product offering.

The Senior Backend Engineer will be responsible for building and maintaining highly scalable backend services for Arize's ML observability platform. They will write performant code in Go, Python, or Java, and work on high volume analytics systems. The engineer will also contribute to the design and development of APIs, mentor other engineers, and collaborate with cross-functional teams.

Seeking a client-obsessed Account Executive with sales experience to find, win, and grow new customers. Responsibilities include building relationships, conducting discovery, running prospecting strategies, managing proof of concepts, and growing accounts.

As a ML Solutions Engineer, you will act as a trusted advisor to customers, driving business value and growing accounts. You will gather client goals, interface with pre-sales engineering, and identify new opportunities for the company. Knowledge of machine learning frameworks and proficiency in programming languages is required.

Write maintainable and scalable JavaScript code for a real-time SaaS application. Design and build reusable React components. Collaborate with product and design teams.

Looking for a fast-paced, client-obsessed Account Executive with an entrepreneurial mindset to find, win, and grow new customers. Responsible for building relationships with AI/ML stakeholders, conducting discovery with prospects, and managing proof of concepts. Requires 5+ years of enterprise SaaS sales experience.

As a Customer Success Junior ML Engineer, Onboarding Specialist, you will collaborate closely with new customers to advise on Arize use cases, data integration methods, and ML observability best practices. You will act as a trusted advisor, manage customer relationships, and interface with pre-sales and customer success engineering teams.

The Backend Engineer will be responsible for writing maintainable, scalable performant code, building high volume and highly available analytics systems, designing and building APIs, extending and contributing to open-source databases and distributed message queue frameworks, and collaborating with product and design teams.