Arize AI - Senior Content Strategist
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Requirements
• Technical Background • Experience building or working with LLM-based systems (RAG, agents, eval frameworks) • Experience writing tutorials or developer documentation • Background spanning both technical work and editorial/journalism
Responsibilities
• Write Technical Content That Engineers Actually Use • Produce high-quality technical content: deep dives, guides, tutorials, and system-level explainers • Break down complex topics (evals, agents, observability, prompt iteration) into clear, actionable workflows • Focus on content that helps developers do something, not just understand something • do something • Interview and Partner with Subject Matter Experts • Work directly with engineers, researchers, and customers to extract insights and real-world workflows • Ask strong technical questions and push for clarity where things are vague • Turn conversations into structured, high-signal content • Define Content Strategy (and Execute It) • Identify gaps in what developers are struggling with • Prioritize and ship content that addresses those gaps • Balance long-term narrative with immediate, high-impact output • Be an AI Native • Be an AI Native • Use AI tools to accelerate writing, editing, and research • Build systems that increase content velocity without lowering quality • Treat content as a compounding system, not a one-off deliverable • Work Cross Functionally • Partner with Product, DevRel, and Marketing to ensure accuracy and relevance • Align content with what’s actually shipping • Contribute to how Arize explains AI engineering as a discipline
Benefits
• AI systems are getting more complex, and harder to reason about. • The limiting factor for most teams isn’t access to models. It’s understanding: • what to evaluate • how systems fail • how to improve them • Your job is to make that legible for engineers who are actively building. • Work at the center of the AI engineering ecosystem • Help define how AI systems are evaluated and improved • Build content that reaches and helps real practitioners • High ownership, fast iteration, and direct impact • Salary Range $160,000-$190,000 plus a generous equity package depending on experience
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