[DH] Engineering Manager, AI Observability

Anthropic•San Francisco, CA

3d•$405,000 - $850,000•Hybrid

About The Position

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. The AI Observability team uses Claude itself to make sense of exploding data volumes from AI training and deployments. This team owns integrated tools for asking open-ended questions, surfacing unexpected patterns, and maintaining human oversight over massive datasets. These tools are widely adopted internally for enforcement, threat intelligence, and model audits. The Engineering Manager will lead research engineers in scaling existing applications and developing new ones, focusing on systems that allow AI to analyze large, unstructured datasets and produce structured, trustworthy insights. This role is high-leverage, with tools used by dozens of researchers and investigators, directly shaping the ability to measure and mitigate AI misuse and misalignment.

Requirements

Experienced manager (at least 2 years) and actively enjoy people management
5+ years of software engineering experience, with meaningful exposure to ML systems
Excited about the problem of scaling human oversight of AI systems
Familiar with LLM application development (context engineering, evaluation, orchestration)
Enjoy building tools that other people use — you care about UX, reliability, and documentation
Can context-switch between deep infrastructure work and user-facing product thinking
Thrive in collaborative, cross-functional environments

Nice To Haves

Research experience in AI safety, alignment, or responsible deployment
Strong people management experience: coaching, performance evaluation, mentorship, career development
Experience recruiting for your team: predicting staffing needs, designing interview loops, evaluating candidates, and closing them
Practical experience with both data science and engineering, including developing and using large-scale data processing frameworks
Experience with productionizing internal tools or building developer-facing platforms
Background in building monitoring or observability systems
Comfort with ambiguity — our team is small and growing, and you'll help define what we become

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 across Anthropic to understand their analytical needs, and prioritize the team's work to build solutions
Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings
Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest
Coach and support your reports to understand and pursue their professional growth
Run the team's recruiting efforts, ensuring we can grow as quickly as we need
Design processes that help the team operate effectively