Design and implement agent-assisted pipelines to parse, audit, and analyze massive-scale system logs (e.g., telemetry, clickstream, operational logs) to accelerate insight generation. Define, instrument, and track system-level Key Performance Indicator (KPIs), backend performance metrics, and Product Health indicators, aligning them directly with Critical User Journeys. Develop custom scripts, prompts, or agentic wrappers (e.g., in Python or R) to parse complex, messy infrastructure logs and transform them into digestible, statistically validated behavioral patterns.
Lead the design and analysis of complex experiments, multivariate testing, and rollout strategies to optimize system configurations, documentation, and tooling. Collaborate with Infrastructure Engineers, Applied Data Scientists, and Machine Learning researchers to ensure backend pipelines are correctly instrumented for downstream agentic analysis.
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