About Arize AI

At Arize AI, we’re building the category-defining platform for AI observability, evaluation, and reliability.

AI is moving fast, but most teams are still flying blind once their agents hit production. We help teams understand how their agents behave, evaluate performance, and improve over time.

Our mission is simple: build the feedback loop that helps teams ship agents that actually work in the real world.

The Role

We’re looking for someone who thinks like a marketer and acts like a journalist to bring clarity to how modern AI systems are built and improved. This is a technical content role. You’ll work directly with engineers, researchers, and product teams to understand how AI systems actually work. Then, you’ll turn that into content that helps other engineers build, evaluate, and ship with confidence.

This role isn’t about summarizing ideas. It’s about extracting real workflows, pressure-testing them, and publishing content that’s immediately useful. You should already have a strong technical foundation. You’ll be expected to engage deeply with topics like evaluation, observability, agents, and LLM systems — and translate them without losing precision.

You’ll operate as both a strategist and a high-output individual contributor in a role where what you create ships quickly and gets used.

What You’ll Do

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

What We’re Looking For

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

Nice to Have

• 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

Why This Role Matters

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.

Why Arize

• • 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