Arize AI seeks an Education Engineer to produce technical blog posts, tutorials, videos, webinars, structured courses, and conference workshops about AI observability and evaluation. Requires 3+ years in developer relations, developer education, technical content, or similar; comfort on camera and stage; hands-on engineering skills for demo apps; experience with LLM-based app development and using AI tooling. Role is remote-first but requires candidates to be based in the San Francisco Bay Area and involves regular travel for conferences. Estimated annual salary $100,000–$175,000.

Owner of product documentation health: keep docs accurate as product changes, write tutorials/cookbooks, and ensure docs work for humans and coding agents. Build automated systems to detect stale content, test code samples, and draft updates. Collaborate with integration partners and the developer community; support marketing and product prototyping. Requires 3+ years in technical writing, documentation engineering, developer relations, or an engineering role with substantial writing, strong docs-as-code and CI experience, and working knowledge of LLM/agent development.

Arize AI is hiring an Open Source AI Engineer skilled in TypeScript and LLM tooling to design and open-source libraries, pipelines, and APIs for monitoring and evaluating LLMs. The role involves community collaboration, prototyping LLM techniques, improving observability/debugging, and producing docs and tutorials. Position is fully remote with US as the stated location; estimated annual pay $185,000–$200,000 USD.

Owner of the developer growth motion for Phoenix, responsible for metrics across the developer journey, reducing friction across OSS/cloud/self-serve experiences, running experiments to improve onboarding and activation, and creating technical content and community programs. Requires 3–5 years in developer/product marketing or developer relations, comfort with code/APIs and AI/ML tooling, strong technical writing, and hands-on execution.