Build and scale real-time data pipelines processing 100k+ traces/sec, run LLM-based scoring and clustering near-real time, optimize LLM serving and ClickHouse OLAP performance, and own infrastructure roadmap from ingestion through analytics.

Manage recruiting pipelines, payroll, vendor relationships, and administrative and compliance workflows. Support founders on customer success and account support while building and optimizing internal processes.

Embed Judgment Labs' agent behavior monitoring into customer production systems: integrate monitoring and evaluation into agent workflows, diagnose failures in live environments, guide customers on monitoring and evaluation strategy, and own multiple customer engagements end-to-end to ensure sustained adoption.

Design, build, and operate multi-region, highly available cloud and self-hosted/BYOC deployment architectures across AWS, GCP, and Azure. Implement secure networking, compliance/data residency solutions, automated provisioning, and observability for distributed customer environments. Own infrastructure roadmap, reliability, and enterprise deployment lifecycle, including documentation and customer-facing implementation guides.

Build full-stack product features for an agent behavior monitoring platform: collaborate with design, engage customers, implement front-end/back-end and database work, run experiments, and contribute to product design and demos.

Build scalable systems to aggregate, index, and analyze large-scale agent interaction data; develop agent-based evaluation systems; design post-training and optimization workflows; build internal tools and infrastructure for experimentation, analysis, and training; ship research into production and collaborate cross-functionally to improve agent behavior.