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Arize AI

AI model observability and evaluation platform

Principal of Technical Content & Editorial

Content Design & StrategyUpdated on Oct 30
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • At least 8 years of experience in content, editorial, technical writing, or content marketing, including ownership of editorial strategy.
  • Exceptional writing and editing skills, demonstrated by a portfolio showing technical depth and clear thinking.
  • Experience producing content for developers, engineers, or highly technical business-to-business audiences.
  • Strong understanding of AI development, developer tooling, cloud infrastructure, or related technical markets.
  • Ability to interview technical experts and turn complex ideas into authoritative content.
  • Experience building editorial programs across multiple formats and distribution channels.
  • Understanding of search engine optimization and its contribution to organic discoverability.
  • Experience managing freelancers, agencies, or small editorial teams.
  • Strong editorial judgment and ability to balance technical credibility, audience interests, and business priorities.
  • Comfort operating as both a strategic leader and an individual contributor.

Responsibilities

  • Develop and execute a content strategy that builds Arize’s authority in AI observability, agent evaluations, and the broader AI engineering ecosystem.
  • Establish editorial priorities for developers, AI engineering teams, AI product leaders, and enterprise technology buyers.
  • Build and manage an editorial calendar across technical blogs, educational guides, thought leadership, customer stories, newsletters, and other content formats.
  • Identify emerging industry trends and develop distinctive editorial perspectives that position Arize as a trusted voice.
  • Maintain high standards for technical accuracy, clarity, originality, and editorial quality.
  • Personally write, edit, and produce high-quality technical and strategic content.
  • Partner directly with engineers, researchers, product marketing managers, developer relations, and executives to develop content grounded in practical experience.
  • Translate complex technical concepts into clear, useful material without oversimplifying them.
  • Develop technical tutorials, explainers, deep dives, and educational resources that help developers solve real problems.
  • Build original content around product innovation, engineering insights, and emerging approaches to agent evaluation and observability.
  • Work with Arize’s founders and technical leaders to develop original perspectives on the future of AI engineering.
  • Identify opportunities for industry commentary, research, opinion pieces, and technical thought leadership.
  • Partner with Marketing and Developer Relations to amplify important ideas through publications, social channels, podcasts, speaking opportunities, and community engagement.
  • Develop content that earns attention and credibility rather than relying on promotional messaging.
  • Collaborate with Growth and search engine optimization/answer engine optimization teams to identify high-value topics, content gaps, and opportunities to improve search and AI-answer visibility.
  • Own the editorial quality and development of content designed to support organic discovery.
  • Refresh and improve existing content to maintain relevance, accuracy, and authority.
  • Build distribution strategies that extend the reach of high-value content across web, email, social, and partner channels.
  • Use performance data and audience feedback to inform editorial decisions.
  • Manage freelance writers, editors, and other external content resources.
  • Develop clear editorial workflows that enable consistent, high-quality publishing.
  • Establish effective processes for working with technical subject matter experts.
  • Prioritize content based on audience value, strategic relevance, and business impact.
  • Partner across the marketing organization to support campaigns, launches, events, and major company initiatives.

Desired Qualifications

  • Hands-on familiarity with large language model applications, AI agents, agent evaluations, and observability.
  • Experience at an AI infrastructure or developer tools company.
  • Experience writing technical tutorials or documentation-adjacent educational content.
  • Experience developing executive thought leadership and original research.
  • Familiarity with open-source communities and developer-led adoption.
  • Understanding of answer engine optimization and how content earns visibility in AI-generated answers.

About the Company

Arize AI

AI model observability and evaluation platform

Arize AI provides a platform for AI observability and LLM evaluation that helps top AI teams monitor and improve models across NLP, computer vision, and recommender systems. It works by offering analytics, LLM traces, spans, RAG analysis, and task-based evaluations to troubleshoot issues and measure performance. It differentiates itself by delivering end-to-end observability and evaluation in a single platform with embedding visualization for RAG to pinpoint missing or irrelevant context. Its goal is to help AI teams ensure their models perform optimally and continuously improve their AI systems.

Company size
201-500
Company stage
Acquired
Total funding
$131M
Headquarters
Berkeley, CA
Founded
2020

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