Developer Relations Engineer (AI Observability & Evaluation)

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 of social content. Strong writing, speaking and teaching skills are of course required, but we expect you to use AI to greatly accelerate and amplify your reach.

What You'll Do

Primary 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 that gets our own go-to-market teams up to speed on evals and observability
• 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

Secondary responsibilities:

• 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

Who We're Looking for

Required qualifications:

• 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

Bonus qualifications:

• 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