Search the 8 jobs at Arize AI

The Solution Architect for Partner Development will manage partnerships, drive account planning and sales strategies, conduct technical workshops, lead product demonstrations, and act as a domain expert in AI/ML to optimize partner performance and continuously improve the customer experience at Arize.

The AI Product Manager will drive the product roadmap for Arize AI's LLM product, engaging with customers for feedback, collaborating with teams to integrate product strategy, and utilizing AI/ML knowledge to enhance product offerings. Responsibilities include managing all product life cycle stages and performing market analysis.

As an Enterprise Account Executive, you will build and nurture relationships with AI/ML stakeholders, manage intricate sales cycles, and leverage your skills to discover and develop new business opportunities. You will collaborate with internal and external teams to ensure successful adoption and growth of accounts, driving the use and value of Arize's AI observability platform.

As a Backend Engineer, you will build scalable distributed services for Arize's ML observability platform. Your responsibilities will include writing efficient Go code, designing customer-specific APIs, optimizing backend services, and collaborating with cross-functional teams. You will tackle technical challenges related to high-volume analytics systems and contribute to open-source initiatives.

The Sales Development Representative will prospect, qualify, and generate opportunities to support business growth. Responsibilities include researching accounts, cold calling, utilizing lead generation tools, and partnering with Account Executives to develop plans for acquiring new business.

As a Mid-Market Account Executive, you will build relationships within the AI/ML community, conduct discovery with prospects, create sales strategies, and manage proof of concepts to drive adoption and account growth. You will leverage your SaaS sales experience to navigate complex enterprise deals and foster teamwork with peers.

As a Senior Fullstack Engineer, you will write maintainable server-side JavaScript, design MLOps functionality, and develop reusable React components. You will contribute to architectural decisions, engage in code reviews, and ensure high-performance systems for AI applications.

The ML Solutions Engineer will act as a trusted advisor to customers, facilitating technical and business discussions to enhance the use of AI applications. Responsibilities include engaging with clients, managing escalations, collaborating with the product team, and leveraging ML expertise to drive value for customers.