Education Engineer

#### **Location** Remote (San Francisco) #### **Status** Full time #### **Department** Developer Relations ### **About Arize** AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. **Arize AI is the leading AI \& Agent Engineering observability and evaluation platform**, empowering AI engineers to ship high\-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a **Series C** company backed by top\-tier investors,with **over $135M in funding** and a rapidly growing customer base of **150\+ leading enterprises and Fortune 500 companies.** Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. ***Note: Arize is a remote\-first company but Developer Relations roles often appear at in\-person events. The nature of this role requires candidates to be based in the San Francisco Bay area, though there isn't an in\-office requirement.*** **The Opportunity** ------------------- AI is rapidly transforming the world. Whether it's developing the next generation of human\-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives. Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high\-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production. **The Role** ------------ Our developer relations team's mission is to provide the best possible developer experience for our flagship products, Arize AX and Arize Phoenix. This role owns the teaching half of that mission. Evaluating and observing AI applications is a genuinely hard skill that most engineers are learning on the job, and our job is to teach it: on our blog and other people's blogs, on our YouTube channel, in webinars, in courses, and in person at conferences as talks and hands\-on workshops. The same material then gets adapted for our social channels where it makes sense. The field of AI moves so quickly that a tutorial written six months ago is often wrong, so the content has to be built to be updated rather than shipped and forgotten. Also, a lot of your students now arrive with a coding agent already open, which changes what a good explanation looks like, what needs to be taught and what can be handled by agents. Those two challenges are exciting and central to this role. We are heavy users of AI\-driven automation and expect you to build pipelines that get you from one piece of source material to a blog post, a video, a webinar and a week