Developer Relations Education Engineer

Arize AI•San Francisco, CA

45d•$100,000 - $175,000•Remote

About The Position

Arize AI is a leading AI observability and evaluation platform that empowers 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 developer relations team's mission is to provide the best possible developer experience for Arize AX and Arize Phoenix. This role specifically focuses on the educational aspect of that mission, teaching engineers how to evaluate and observe AI applications through various channels like blogs, YouTube, webinars, courses, and in-person events. The role emphasizes creating content that is adaptable to the rapidly evolving AI field and leveraging AI-driven automation to produce content efficiently across multiple formats and channels. The position requires strong writing, speaking, and teaching skills, with an expectation to use AI to amplify reach and impact.

Requirements

3+ years in developer relations, developer education, technical content, or an engineering role that produced a lot of public material.
A portfolio we can look at: recorded talks, videos, courses, blog posts or workshops.
Comfortable on camera and on stage, and able to teach a technical concept live without a script to hide behind.
Up-to-date engineering skills. You'll be writing the demo applications you teach from, so you need to be able to build the thing before you explain it.
Working knowledge of LLM-based app development e.g. agents, RAG, orchestration frameworks. You do not need to be specifically familiar with Arize.
Experience using AI tooling in your own production process, or a clear appetite for building that out.
A curious and self-motivated continuous learner, comfortable with the ambiguities and rapid iteration of a startup environment.
Willing to travel regularly for conferences and to attend occasional evening and weekend events, either local to your location or within a few hours' travel time.

Nice To Haves

Familiarity with the evaluations and observability space including products like Arize.
Experience shipping a course with a learning platform such as Coursera, DeepLearning.AI, LinkedIn Learning, Maven or O'Reilly.
Video production and editing skills, or experience growing a technical YouTube channel.
A track record of getting talks accepted at major industry conferences.
Highly engaged in technical communities on forums like X, Reddit, Slack, Discord, Dev.to etc.
Existing experience running or contributing to open-source projects like Arize Phoenix.

Responsibilities

Write technical blog posts and tutorials for the Arize blog, and place guest content on partner blogs and third-party publications.
Produce educational video for our YouTube channel, from short explainers to longer walkthroughs, and internal enablement video.
Run a high volume of webinars, owning them end to end from topic selection to the demo to the follow-up content.
Build and deliver structured courses, both on our own properties and with external learning platforms and partners.
Speak at conferences and run hands-on workshops, including writing the demo applications and exercises that go with them.
Adapt each piece of work across formats and channels so that one body of research produces content in several places rather than one.
Build the AI-assisted production systems that make all of the above possible at a volume that would otherwise need a much larger team.
Take feedback from the community and turn it into actionable product insights that shape our open source and commercial product roadmaps.
Assist our marketing team by providing source material for field marketing, SEO and answer-engine-focused website copy.
Work with our documentation team so that educational content and reference documentation point at each other properly.
Interact with our developer community at conferences, trade shows and local meetups, as well as online through our community Slack and other channels.
Collaborate with the Product team to prototype "spikes" for new features and product directions.