[DH] Engineering Manager, AI Observability
Core
Lead research engineers building AI-based monitoring systems to analyze large unstructured datasets (conversations, documents) and produce structured insights for safety and alignment.
Role type
Engineering Manager, AI Observability
Builds
Integrated tools for AI analysis, agentic integrations for autonomous investigation, and user-facing interfaces for researchers.
Domain
AI Safety, Alignment, Large Language Model (LLM) Systems
Deliverable
production ML models | product features
Required skills
People management, software engineering (5+ years), ML systems exposure, LLM application development, UX design, strategic planning, team recruiting, process design
Preferred skills
AI safety/alignment research, data science, large-scale data processing, observability systems, ambiguity tolerance
Technologies
LLM frameworks, data processing frameworks, agentic systems
Responsibilities
Lead design and implementation of AI monitoring systems, extend core text processing frameworks, partner with researchers to prioritize work, develop agentic integrations, contribute to team strategy, coach reports, run recruiting, design team processes
Seniority
Manager, hands-on leadership
