[DH] Engineering Manager, AI Observability
Anthropic · San Francisco, CA
About this role
**About Anthropic** Anthropic’s mission is to create reliable, interpretable, and steerable AI systems—safe and beneficial for users and society. **About the Team** As AI training and deployments scale, the volume of data we need to monitor and understand is exploding. This team uses Claude to help make sense of large, unstructured datasets and build tools that enable open-ended analysis, surfacing unexpected patterns, and maintaining meaningful human oversight. Your work will support internal use cases including ongoing enforcement, threat intelligence investigations, model audits, and more. **About the Role** As an **Engineering Manager** for AI Observability, you’ll lead research engineers building systems that let AI analyze large, unstructured datasets (tens or hundreds of thousands of conversations/documents) and produce structured, trustworthy insights. The team spans the full stack—from core analysis frameworks to user-facing apps and interfaces. 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 misuse and misalignment. **Responsibilities** - Lead the design and implementation of AI-based monitoring systems for AI training and deployment - Extend and improve core frameworks for processing large volumes of unstructured text - Partner with researchers and safety teams to understand analytical needs and prioritize the team’s work - Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings - Contribute to the team’s strategic direction (what to build, what to partner on, where to invest) - Coach and support reports in their professional growth - Run recruiting efforts to grow as quickly as needed - Design processes that help the team operate effectively **You May Be a Good Fit If You** - Are an experienced manager (at least 2 years) and enjoy people management - Have 5+ years of software engineering experience with meaningful exposure to ML systems - Are excited about scaling human oversight of AI systems - Are familiar with LLM application development (context engineering, evaluation, orchestration) - Enjoy building tools that others use (UX, reliability, documentation) - Can context-switch between deep infrastructure work and user-facing product thinking - Thrive in collaborative, cross-functional environments **Strong Candidates May Also Have** - Research experience in AI safety, alignment, or responsible deployment - Strong people management experience (coaching, performance evaluation, mentorship, career development) - Experience recruiting for your team (interview loops, evaluation, closing) - Practical experience across data science and engineering, including large-scale data processing frameworks - Experience productionizing internal tools or building developer-facing platforms - Background in monitoring/observability systems - Comfort with ambiguity (small, growing team—help define what it becomes) **Compensation** - **Annual Salary:** **$405,000 — $850,000 USD** **Logistics** - **Minimum education:** Bachelor’s degree (or equivalent combination of education/training/experience) - **Required field of study:** Relevant to the role (via coursework, training, or experience) - **Minimum years of experience:** Correlates with internal job level - **Location-based hybrid policy:** Expect to be in an office at least **25%** of the time (some roles may require mo
Listing freshness
CronJobs last confirmed this listing 1h ago. If its source stops confirming the opening for seven days, this page is removed from active inventory.