[DH] Engineering Manager, AI Observability

Anthropic•San Francisco, CA

3d•Hybrid

About The Position

As an Engineering Manager for the AI Observability team at Anthropic, you will lead research engineers in designing and building systems that enable AI to analyze large, unstructured datasets (tens or hundreds of thousands of conversations or documents) and produce structured, trustworthy insights. The team operates across the full stack, from core analysis frameworks to user-facing applications and interfaces. This is a high-leverage role, as the tools you build will be used by numerous researchers and investigators, directly influencing Anthropic's ability to measure and mitigate AI misuse and misalignment.

Requirements

At least 2 years of experience in management and a genuine enjoyment of people management.
5+ years of software engineering experience, with significant exposure to ML systems.
Excitement about the problem of scaling human oversight of AI systems.
Familiarity with LLM application development (context engineering, evaluation, orchestration).
Enjoyment in building tools for others, with a focus on UX, reliability, and documentation.
Ability to 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, as the team is small, growing, and will help define its future.

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.