Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

This role on the developer relations team focuses on teaching engineers how to evaluate and observe AI applications using Arize's flagship products, Arize AX and Arize Phoenix. You will create educational content across various platforms, including blogs, videos, webinars, and conferences, adapting to the rapidly evolving AI landscape and the rise of AI coding agents. A key aspect of this role involves building AI-assisted production systems to amplify content creation.

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.
Build the AI-assisted production systems that make content creation possible at scale.
Take feedback from the community and turn it into actionable product insights.
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.
Collaborate with the Product team to prototype 'spikes' for new features and product directions.

Requirements

3+ years in developer relations, developer education, technical content, or an engineering role that produced a lot of public material.
A portfolio of 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.
Up-to-date engineering skills to build demo applications.
Working knowledge of LLM-based app development (e.g., agents, RAG, orchestration frameworks).
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 ambiguities and rapid iteration.
Willing to travel regularly for conferences and to attend occasional evening and weekend events.

Skills

Writing
Speaking
Teaching
AI-assisted production systems
Video production
Video editing
Technical content creation
Developer relations
Developer education
LLM-based app development
AI tooling

Location

San Francisco Bay Area
Remote

Work Type

Remote-first
Hybrid

Experience Level

3+ years

Salary/Compensations

$100,000 - $175,000

Benefits

Competitive equity package
Medical
Dental
Vision
401(k) plan
Unlimited paid time off
Generous parental leave plan
Mental and wellness support
WFH monthly stipend for co-working spaces

About the Company

Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications.
Arize AX unifies build, test, and run in a single workspace.
We are a Series C company backed by top-tier investors, with over $135M in funding.
We have 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.
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.

Equal Opportunity

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.