--- title: 'Education Engineer at Arize AI' canonical: 'https://feeny.ai/job/education-engineer-arize-ai-san-francisco-9zxrkd55xqkq' type: 'job' last_seen: '2026-09-09' --- # Education Engineer at Arize AI - **Company:** Arize AI - **Location:** San Francisco, CA - **Work type:** remote - **Posted:** 2026-08-27 - **Last confirmed live:** 2026-09-09 - **Apply:** https://job-boards.greenhouse.io/arizeai/jobs/6128123004 ## Job description ## 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](http://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 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 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. More About Arize 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. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize 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 ## About Arize AI ## Company Overview - **One-liner**: Arize AI provides an agent observability, evaluation, and improvement platform that enables AI teams to trace, debug, evaluate, and continuously improve AI agents and applications in production. - **Entity Type**: Private (Series C) - **Headquarters**: San Francisco, California, United States - **Founded**: 2020 - **Founders**: Jason Lopatecki (CEO), Aparna Dhinakaran (CPO) ## Core Business - Primary industry/industries: AI Observability, AI Evaluation, Machine Learning Operations (MLOps), Generative AI Infrastructure - Target customers: B2B; AI engineering teams building production AI applications, chatbots, RAG systems, copilots, and autonomous agents. Serves both startups and large enterprises. - Mission or purpose statement: "Make AI work — and work for the people." ## Products & Services - **[Phoenix (Open Source)](https://arize.com/phoenix/)**: The leading open-source AI observability and evaluation framework. Developers use it to trace AI applications, run evaluations, investigate failures, and improve quality. Built on OpenInference and OpenTelemetry standards. Run locally or self-hosted. Over 5 million downloads per month. - **[Arize AX](https://arize.com/ax/)**: The managed AI engineering platform built on open standards. Adds managed infrastructure with a proprietary observability datastore (ADB), advanced agent observability, online evals, and continual improvement workflows for production AI systems. - **[Alyx](https://arize.com/ax/)**: An AI engineering agent that functions like "Cursor or Claude Code, but for AI engineering." It runs evals, debugs issues, and improves agents autonomously based on a given problem. - **[ADB (Arize DataBase)](https://arize.com/ax/)**: The industry’s fastest and most scaled observability datastore for GenAI traces. Stores in open formats to connect natively to BigQuery, Databricks, or Snowflake via DataFabric. Processes over 1 trillion spans per month. - **Integrations**: Works with 40+ models, frameworks, and AI tools including OpenAI, Anthropic, Google, Amazon Bedrock, LangGraph, LangChain, LlamaIndex, CrewAI, OpenAI Agents SDK, DSPy, and more. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total Funding – $131 million across three rounds - **Annual Revenue**: $13 million (per LinkedIn estimate) - **Notable Investors/Partners**: TCV (led Series B), Foundation Capital (led Seed Round), and additional undisclosed investors in the Series C round. Partners include major cloud providers (Google Cloud, AWS, Azure) and AI frameworks. - **Growth Signals**: Headcount grew 56.1% YoY to 149 employees. Operates in 13 countries. Processes over 1 trillion spans and 1 billion evals per month. Open-source Phoenix has over 5 million downloads per month. LinkedIn followers grew 50.4% in the last year to 26,740. ## Competitive Advantages - **Open-source leadership**: Phoenix is the dominant open-source standard for GenAI observability, built on OpenInference and OpenTelemetry — ensuring no proprietary lock-in and broad community adoption. - **Comprehensive eval framework**: The market’s most comprehensive evaluation framework, running span, trace, and session evals at scale. - **Agent-native debugging**: End-to-end workflows designed specifically for debugging coding agents (Cursor, Claude Code, OpenCode, etc.) — a differentiated focus as AI agents become mainstream. - **Massive scale**: The ADB datastore processes over 1 trillion spans per month, providing a performance moat for enterprise customers. - **Founding team credibility**: The founders created OpenInference, the leading open standard for GenAI observability. ## Strategic Focus - **Continual learning loop**: Building the infrastructure for "self-improving agents" — enabling AI systems to learn from production signals and improve autonomously. - **Agent-native development**: Doubling down on tools and workflows purpose-built for agentic AI systems (coding agents, multi-agent systems). - **Enterprise scale**: Growing the managed platform (Arize AX) to serve large enterprises with compliance needs (SOC 2 Type II, ISO 27001, PCI DSS, HIPAA, GDPR). - **Global expansion**: Hiring across the US, EMEA, APJ (Singapore, Malaysia, South Korea, Australia/New Zealand), and Latin America (Argentina). ## Why Work Here - **Culture**: Described as "outsiders and risk-takers" who challenge the status quo. Values include "Bring Solutions" (own problems, fix them), "Do > Say" (execution over meetings), "N+1" (continuous improvement), and being "maniacally empathetic" of users. - **Remote-first**: Fully remote company with IRL offices in Berkeley and New York. Open roles span the US, EMEA, APJ, and LATAM. - **Benefits**: Open vacation policy, wellness days, sabbatical leave policy, parental leave at 100% salary, professional development stipend, coworking space allowance, technology/workspace stipend, commuter benefits, generous medical/dental/vision plans, and 401(k) plan. - **Engineering culture**: "Progress beats process" — emphasis on prototyping over endless debate, shipping over bureaucracy. Engineers are given agency to make a big impact and grow scope of responsibility. - **Team**: 149 employees across 13 countries. 39 open positions (Engineering, Sales, Solutions Engineering, Product, Security, Marketing). - **Diversity**: Explicit commitment to recruiting and retaining a diverse workforce, promoting an inclusive environment. ## Sources 1. [arize.com](https://arize.com/) 2. [arize.com/careers](https://arize.com/careers/) 3. [arize.com/about-us](https://arize.com/about-us/) 4. [greenhouse.io](http://job-boards.greenhouse.io/arizeai) 5. [linkedin.com](https://www.linkedin.com/company/arizeai) ## Other roles at Arize AI - [Documentation Engineer](https://feeny.ai/job/documentation-engineer-arize-ai-san-francisco-hxx4kr0kea9r) — San Francisco, CA - [Expansion Account Executive (West)](https://feeny.ai/job/expansion-account-executive-west-arize-ai-remote-msqw837xphab) - [Talent Community](https://feeny.ai/job/talent-community-arize-ai-remote-j833xwn3sxm5) - [Enterprise Account Executive, East](https://feeny.ai/job/enterprise-account-executive-east-arize-ai-new-york-jyfy6963d60y) — New York, NY - [Enterprise Account Executive, EMEA](https://feeny.ai/job/enterprise-account-executive-emea-arize-ai-emea-902b5n34xgrv) — EMEA - [AI Solutions Manager, Digital Native](https://feeny.ai/job/ai-solutions-manager-digital-native-arize-ai-san-francisco-j2erk7fgxbpj) — San Francisco, CA - [Forward Deployed AI Engineer, West](https://feeny.ai/job/forward-deployed-ai-engineer-west-arize-ai-san-francisco-jx995yk0wxw2) — San Francisco, CA - [AI Solutions Manager, East](https://feeny.ai/job/ai-solutions-manager-east-arize-ai-new-york-srq639c59hr8) — New York, NY - [Enterprise Account Executive, ANZ](https://feeny.ai/job/enterprise-account-executive-anz-arize-ai-australia-new-zealand-h2sxxyg022pw) — Australia / New Zealand - [Forward Deployed AI Engineer, East](https://feeny.ai/job/forward-deployed-ai-engineer-east-arize-ai-new-york-zgvv3gj4q6qk) — New York, NY