Weights & Biases

VP of Product for Research and Training Infrastructure at an AI cloud provider. This role owns the product strategy and engineering execution for services powering AI research labs, focusing on specialized orchestration, evaluation, and iteration tools for massive-scale pre-training and post-training. Key responsibilities include evolving orchestration tools (SUNK), developing automated training-based evaluation frameworks, and building infrastructure for RL/RLHF pipelines. Requires deep knowledge of HPC, distributed training, and supporting frontier model research.

Staff Product Manager for CoreWeave's Insights team, focusing on developing AI-powered observability experiences for AI workloads. The role involves defining strategy, roadmaps, and metrics for dashboards, alerts, and AI-driven insights to help customers understand performance, reliability, and cost in their cloud environments. Key responsibilities include translating telemetry into actionable insights and driving proactive surfacing of information, particularly for cost optimization and workload efficiency.