Senior Content Strategist

• 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
• 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: 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

• Technical Background: You must be comfortable writing about: Software engineering, AI/LLM application development, Developer workflows. This is not a role for someone learning the space from the outside. Content & Communication: Strong writing and editing skills — you can explain complex systems clearly without oversimplifying
• Experience creating technical content (blogs, guides, docs, or similar)
• Ability to interview SMEs and turn conversations into structured, useful content. Operator Mindset: You can think strategically and execute tactically
• You ship consistently and take ownership of output
• You're comfortable working in a fast-moving, high-ownership environment. AI-Native Workflow: You actively use AI tools in your day-to-day work
• You think in terms of leverage, iteration, and systems
• You're interested in how AI changes how content gets created

• 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

generous equity package