Engineering Manager - AI Observability & Insights

Anthropic; San Francisco (CA); Hybrid; USD 510,000 - 850,000; Full time

Job summary

Anthropic is seeking an Engineering Manager to lead a team of researchers and engineers focused on building scalable AI analysis tools for large unstructured datasets, from core analytics to user-facing interfaces.

You will shape technical direction, mentor engineers, and partner with safety and research teams to ensure trustworthy, measurable insights while evolving the platforms that power our Claude-based workflows.

Qualifications

• Bachelor’s degree in a relevant field.
• 5+ years of software engineering experience with ML systems.

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

Skills

People management

ML systems exposure

LLM development

Cross-functional collaboration

UX-oriented

Education

Bachelor's degree

Job description

Anthropic is seeking an Engineering Manager to lead a team of researchers and engineers focused on building scalable AI analysis tools for large unstructured datasets, from core analytics to user-facing interfaces.

You will shape technical direction, mentor engineers, and partner with safety and research teams to ensure trustworthy, measurable insights while evolving the platforms that power our Claude-based workflows.