[DH] Engineering Manager, AI Observability

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2><strong>About the Team</strong></h2> <p>As AI training and deployments scale, the volume of data we need to monitor and understand is exploding. Our team uses Claude itself to make sense of this data. We own an integrated set of tools enabling Anthropic to ask open-ended questions, surface unexpected patterns, and maintain meaningful human oversight over massive datasets.<br>Our tools are widely adopted internally — powering <a href="https://alignment.anthropic.com/2025/summarization-for-monitoring/" target="_blank">ongoing enforcement</a>, <a href="https://www.anthropic.com/news/disrupting-AI-espionage" target="_blank">threat intelligence investigations</a>, <a href="https://www-cdn.anthropic.com/c788cbc0a3da9135112f97cdf6dcd06f2c16cee2.pdf" target="_blank">model audits</a>, and more — and we're looking for an experienced engineering manager to help us both scale up existing applications and go zero-to-one on new ones.</p> <h2><strong>About the Role</strong></h2> <p>As an Engineering Manager for the team, you'll lead research engineers who design and build systems that let AI analyze large, unstructured datasets — think tens or hundreds of thousands of conversations or documents — and produce structured, trustworthy insights. The team works across the full stack, from core analysis frameworks through user-facing apps and interfaces.<br><br>This is a high-leverage role. The tools you build will be used by dozens of researchers and investigators, and directly shape our ability to measure and mitigate both misuse and misalignment.</p> <h2><strong>Responsibilities:</str