Engineering Manager, AI Observability & ML Monitoring

Digitailor; San Francisco, Northern (CA, KY); Hybrid; USD 405,000 - 850,000; Full time

Benefits offered by this job

Competitive compensation

Equity matching

Generous vacation

Parental leave

Flexible hours

Office in SF

Job summary

Anthropic is hiring an Engineering Manager to lead research engineers who design systems for analyzing large unstructured datasets and delivering structured insights. You will shape the full stack from core analysis to user-facing apps, playing a key role in measuring and mitigating misuse and misalignment.

You will guide a high-leverage team, work with researchers and safety teams, and drive recruiting, strategy, and analytics tooling. This role is hybrid and located in one of our offices.

Qualifications

• 2+ years of people management experience.
• 5+ years of software engineering experience, with exposure to ML systems.
• Familiar with LLM application development and evaluation.
• Ability to build tools with good UX, reliability, and documentation.

Responsibilities

• Lead 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 work.
• Develop agentic integrations for autonomous investigation and action on findings.
• Contribute to team strategy, and lead recruitment and growth efforts.

Skills

People management

Software engineering

Cross-functional collaboration

UX and documentation

Education

Bachelor's degree

Job description

Anthropic is hiring an Engineering Manager to lead research engineers who design systems for analyzing large unstructured datasets and delivering structured insights. You will shape the full stack from core analysis to user-facing apps, playing a key role in measuring and mitigating misuse and misalignment.

You will guide a high-leverage team, work with researchers and safety teams, and drive recruiting, strategy, and analytics tooling. This role is hybrid and located in one of our offices.