Monte Carlo Data
Monte Carlo is seeking an engineer to own end‑to‑end development of agent‑observability features, from research and prototyping through production and integration with engineering and data science teams. The role focuses on building evaluation infrastructure, retrieval pipelines, and LLM guardrails to ensure reliable, trustworthy AI agents in enterprise environments.
Headquarters
San Francisco, California, United States
Company Size
51-200 employees
Monte Carlo is an end-to-end data and AI observability platform built for enterprise teams. Its platform unifies data quality, agent observability, lineage and impact analysis, and AI monitoring to help organizations monitor, troubleshoot, and improve production AI systems and data pipelines. Trusted by 400+ enterprises, Monte Carlo enables data engineers, analysts, and AI teams to reduce data downtime, ensure data reliability, and build trustworthy AI products.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Monte Carlo Data.
22% above the average for this role