
51 - 200 employees
Founded 2019
đ¤ Artificial Intelligence
âď¸ SaaS
đ˘ Enterprise
Artificial Intelligence ⢠SaaS ⢠Enterprise
Arize AI is a company that provides a comprehensive AI observability and evaluation platform designed for AI engineers to build and manage AI applications, particularly those involving large language models (LLMs). The platform offers end-to-end AI tracing, monitoring, and evaluation tools to help users identify and resolve performance bottlenecks, ensure data quality, and improve the performance of AI systems. Arize also supports experimentation and visualization, enabling users to iterate rapidly on AI applications and maintain high-quality service delivery. The company caters to top AI companies, offering solutions for both online and offline LLM evaluation and observability. Arize's tools are particularly valuable for AI model monitoring, troubleshooting, and performance optimization, helping businesses mitigate risks and improve AI outcomes.
đĽ 0 minutes ago
đ California â Remote
đľ $100k - $175k / year
â° Full Time
đĄ Mid-level
đ Senior
đ¤ Developer Relations (DevRel)
đŚ H1B Visa Sponsor
đť Ghost score 13%
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51 - 200 employees
Founded 2019
đ¤ Artificial Intelligence
âď¸ SaaS
đ˘ Enterprise
Artificial Intelligence ⢠SaaS ⢠Enterprise
Arize AI is a company that provides a comprehensive AI observability and evaluation platform designed for AI engineers to build and manage AI applications, particularly those involving large language models (LLMs). The platform offers end-to-end AI tracing, monitoring, and evaluation tools to help users identify and resolve performance bottlenecks, ensure data quality, and improve the performance of AI systems. Arize also supports experimentation and visualization, enabling users to iterate rapidly on AI applications and maintain high-quality service delivery. The company caters to top AI companies, offering solutions for both online and offline LLM evaluation and observability. Arize's tools are particularly valuable for AI model monitoring, troubleshooting, and performance optimization, helping businesses mitigate risks and improve AI outcomes.
⢠Own the health and accuracy of Arize's product documentation as products evolve ⢠Build automation to monitor documentation quality, detect documentation-code drift, test code samples, and draft updates for human review ⢠Make documentation usable by coding agents and humans through structured content, machine-readable indexes, and agent-task completion measurement ⢠Write and refresh tutorials, cookbooks, and open-source demonstration repositories ⢠Ensure Arize is accurately documented by integration partners, framework maintainers, and course and curriculum authors ⢠Create onboarding experiences that help new users reach their first working evaluation unassisted ⢠Convert community feedback into actionable product insights for open-source and commercial product roadmaps ⢠Provide source material for field marketing, SEO, and answer-engine-focused website copy ⢠Interact with the developer community at conferences, trade shows, meetups, Slack, and other channels ⢠Serve as the first point of contact for community product questions and direct members to appropriate teams ⢠Collaborate with Product to prototype spikes for new features and product directions
⢠3+ years in technical writing, documentation engineering, developer relations, or an engineering role with substantial writing ⢠Excellent technical communication skills demonstrated through public-facing documentation, blog posts, or videos ⢠Up-to-date engineering skills, including docs-as-code workflows, CI, and comfort working in a repository ⢠Working knowledge of LLM-based application development, such as agents, RAG, and orchestration frameworks ⢠Genuine interest in how agents read and use documentation and in building related tooling ⢠Curious and self-motivated continuous learner, comfortable with startup ambiguity and rapid iteration ⢠Willingness to attend occasional evening and weekend in-person events locally or within a few hours' travel ⢠Familiarity with evaluations and observability space, including products like Arize (bonus) ⢠Experience building documentation automation, such as link checking, snippet testing, style linting, or LLM-assisted review (bonus) ⢠Opinions about llms.txt, documentation MCP servers, and machine-readable documentation approaches (bonus) ⢠Engagement in technical communities on X, Reddit, Slack, Discord, Dev.to, or similar platforms (bonus) ⢠Experience running or contributing to open-source projects such as Arize Phoenix (bonus)
⢠Competitive equity package ⢠Medical insurance ⢠Dental insurance ⢠Vision insurance ⢠401(k) plan ⢠Unlimited paid time off ⢠Generous parental leave plan ⢠Mental and wellness support ⢠WFH monthly stipend for co-working spaces ⢠Option to work in-person at offices in New York City and the San Francisco Bay Area
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