--- title: 'Documentation Engineer at Arize AI' canonical: 'https://feeny.ai/job/documentation-engineer-arize-ai-san-francisco-hxx4kr0kea9r' type: 'job' last_seen: '2026-09-09' --- # Documentation 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/6128122004 ## 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 metro 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 documentation half of that mission: keeping our own docs accurate as the products change, expanding our guides and cookbooks so a developer can get from first read to working code without asking anyone for help, and making sure Arize is documented correctly in other people's material too, from integration partners to online courses. Documentation now has two audiences reading it simultaneously: developers, and the coding agents working on their behalf. The same page has to be skimmable by a human and unambiguous to an agent that will act on it, and nobody in the industry has settled on how to do both well. That’s an exciting problem and it will be central to this role. We are not looking for someone to hand-edit pages forever. We are heavy users of AI-driven automation and expect you to build systems that spot stale content, catch drift between the code and the docs, draft updates for review, and check that our examples still run. Good writing and editing skills are of course required for this role, but we expect you to use AI to greatly accelerate and amplify your skill. ## What You'll Do Primary responsibilities: - Own the health of Arize's product documentation: keep it accurate as we ship, and rewrite the parts that have stopped making sense - Build automated systems that monitor documentation quality, detect drift between docs and code, test that code samples still work, and draft updates for human review - Make our documentation work for coding agents as well as humans: structured content, machine-readable indexes, and real measurement of whether an agent can complete a task using our docs alone - Write and refresh tutorials, cookbooks and open-source demonstration repositories that take a developer from introduction to value quickly - Get Arize documented accurately outside our own site, working with integration partners, framework maintainers, and course and curriculum authors - Create a stellar onboarding experience for new users, judged by whether they get to their first working eval unassisted 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 - Interact with our developer community at conferences, trade shows and local meetups, as well as online through our community Slack and other channels - Be the first point of contact for community members with product questions, directing them to the appropriate teams and 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 technical writing, documentation engineering, developer relations, or an engineering role with a lot of writing in it - Excellent technical communication skills, demonstrated by public-facing documentation, blog posts or videos you can point us to - Up-to-date engineering skills. You'll be writing code that maintains documentation, not only prose, so docs-as-code workflows, CI and general comfort working in a repo are assumed. - Working knowledge of LLM-based app development e.g. agents, RAG, orchestration frameworks. You do not need to be specifically familiar with Arize. - Genuine interest in how agents read and use documentation, and in building the tooling that makes that work - A curious and self-motivated continuous learner, comfortable with the ambiguities and rapid iteration of a startup environment - Willing to attend occasional evening and weekend events in-person either local to your location or (less frequently) within a few hours' travel time Bonus qualifications: - Familiarity with the evaluations and observability space including products like Arize - Experience building automation around documentation: link checking, snippet testing, style linting, LLM-assisted review - Opinions about llms.txt, documentation MCP servers, and the other current attempts at machine-readable docs - 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. 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