Search the 14 jobs at Arize AI

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 handle monthly and quarterly close processes, manage accounts receivables and payables, assist with tax compliance, maintain internal controls for audits, and support special projects within the finance team.

The Research Engineer will lead AI research projects, focusing on industry needs and new AI models. Responsibilities include creating research awareness, executing research efficiently, writing for social media, and speaking at events to connect with the AI community.

The AI Growth Engineer will engage the AI community through daily technical content, create visibility for Arize in the AI space, perform research and coding tasks related to AI applications, and contribute to the development of an AI social marketing strategy.

The Head of Strategic Partnerships will develop and grow relationships with major cloud partners and system integrators, drive sales pipeline, manage partnerships and collaborate with internal teams to optimize partner success and achieve sales quotas.

As an Open Source Fullstack Engineer, you will be responsible for developing front-end and full-stack features for AI observability applications. You'll work with a modern tech stack, collaborate with product and design teams, and iterate rapidly based on user feedback while maintaining high code quality standards.

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.

As a Senior AI Product Engineer, you'll write scalable backend code primarily in Go and Python, contributing to the development of Arize's ML observability platform. You'll focus on optimizing backend services, designing APIs for ML workflows, and collaborating with other teams for product enhancement, while tackling challenges in high-performance backend systems.

The Senior AI Product Engineer will develop scalable and maintainable code, design APIs and object models, and create reusable React components. They will work with product and design teams to enhance features for AI applications, focusing on user experience and driving product innovation.

As an AI Product Engineer, you will work on AI product innovation, tackling complex engineering challenges and developing tools for AI and LLM-powered applications. You'll collaborate with senior engineers and take on significant responsibilities from the start, including model evaluation metrics and building systems for high-volume data handling.

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 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.

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.