Developer Relations Education Engineer Developer Relations San Francisco (Remote)

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.

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.

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.

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

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
• 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

The estimated annual salary for this role is between $100,000 - $175,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job‑related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

While we are a remote‑first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in‑person. For all other employees, there is a WFH monthly stipend to pay for co‑working spaces.

Arize’s mission is to make the world’s AI work—and work for people.
Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale.

Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry‑wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture

• Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
• Culturally conscious events such as LGBTQ trivia during pride month
• We have an active Lady Arizers subgroup

Individuals seeking employment at Arize AI are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. You are being given the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

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