Search the 19 jobs at Arize AI

The Sales Development Representative will research and identify potential new customers, engage in cold calling and emailing, utilize lead generation tools, and collaborate with Account Executives to generate leads and implement business acquisition plans.

As the Engineering Manager for the Data Platform team, you will lead engineering efforts for a scalable infrastructure that supports AI applications. Responsibilities include mentoring engineers, driving architectural decisions, and delivering high-performance solutions across a real-time streaming platform and custom OLAP database.

As a ML Solutions Engineer, you will act as a trusted advisor to customers, engaging them with product education and managing escalations while influencing product roadmaps. Your role involves gathering goals and KPIs with pre-sales engineering, demonstrating AI product value, and developing relationships with technical stakeholders.

The Accountant will execute accounting policies, manage accounts receivables/payables, prepare journal entries, and assist with audits and tax compliance. The role requires a strong understanding of GAAP and experience in a fast-paced growth environment, contributing to bookkeeping and financial reporting.

As an AI Product Manager for LLM, you will strategize and develop Arize AI’s core product roadmap, engage with customers for feedback, collaborate with stakeholders, and integrate competitive and market analyses into product requirements.

The Customer Success Manager will nurture and grow relationships with Arize customers, drive adoption of AI solutions, manage renewals and upsells, and identify growth opportunities. This role requires collaboration with the Customer Success Engineering team and effective communication to ensure customer satisfaction and healthy account management.

As a DevOps Engineer, you'll be responsible for deploying and managing Arize’s software in customer environments, automation of release pipelines, and ensuring performance and reliability of the infrastructure supporting AI applications. You'll interact with product teams, support scalability, and monitor platform health.

As an Account Manager at Arize, you'll cultivate customer relationships and drive the adoption of AI solutions. You'll handle renewals, identify growth opportunities, and collaborate with teams to ensure customer satisfaction and success.

The Research Engineer will lead AI research projects that focus on new AI models and industry knowledge gaps. Responsibilities include creating thought-provoking research for AI developers, executing fast-paced research, writing for social media and blogs, and representing the company at industry events.

The AI Growth Engineer will engage with the AI community by creating content, building connections, and conducting short research projects that may involve writing code and testing AI models. The role focuses on enhancing Arize’s visibility in the AI space through various platforms and developing community-driven content.

The Head of Strategic Partnerships will drive and grow partnerships with major cloud providers and system integrators, manage partner sales metrics alongside the sales team, and lead initiatives to build awareness and joint marketing efforts. This role requires strong relationship-building and communication skills along with extensive experience in enterprise partnerships and channel sales.

The People Operations Specialist will support HR functions, including employee inquiries, onboarding, administrative HR tasks, performance reviews, and employee engagement initiatives. This role requires a detail-oriented individual capable of managing multiple tasks while collaborating with the Finance & Operations team.

The Open Source Fullstack Engineer at Arize will work primarily on front-end and full-stack development for their open-source software, focusing on technologies such as Python and Typescript. The role involves shipping applications and features rapidly while collaborating closely with users to incorporate feedback into product development.

The Enterprise Account Executive will build relationships with AI/ML stakeholders, conduct discovery meetings, manage proof of concepts, and drive account growth. The role requires navigating enterprise sales cycles while ensuring client success and leveraging sales methodologies.

As a Mid-Market Account Executive at Arize, you'll build relationships with AI/ML stakeholders, conduct discovery phases, and execute advanced prospecting strategies. Your role will involve managing proof of concepts, ensuring successful adoption, and navigating complex sales cycles within the enterprise market.

As a Solution Architect in Partner Development, you will manage relationships with partners, facilitate sales and marketing initiatives, provide technical guidance, and enhance collaboration across departments. You will leverage your expertise in AI/ML to educate partners and foster growth in the partner ecosystem.

As a Senior AI Product Engineer, you will develop scalable full-stack applications for AI observability. Your responsibilities include writing code primarily in TypeScript and React, designing APIs, creating performant UI components, and collaborating with product and engineering teams. You will also participate in architectural decisions and contribute to technical documentation.

Develop and maintain scalable backend systems for Arize’s ML observability platform using Go, Python, and Java. Design and implement APIs for machine learning workflows, build analytics systems, and contribute to open source projects. Collaborate closely with interdisciplinary teams to enhance product offerings and conduct research into AI algorithms.

As an AI Product Engineer, you'll join a high-performing team to drive AI product innovation. This role involves tackling complex engineering challenges, working with large datasets, creating AI agents, and building systems for real-time evaluations. You'll be mentored by senior engineers and expected to take ownership of your projects from the start.