Gremlin
As a Data Scientist, AI/ML at Gremlin, you will analyze millions of chaos engineering experiments to identify failure patterns and root causes in distributed systems. You will leverage applied machine learning experience to build intelligent systems for automated failure analysis, remediation, and orchestration. This role involves developing scalable data pipelines and collaborating with platform engineers and SREs to integrate AI-driven capabilities into the core product.
Headquarters
San Jose, California, United States
Company Size
51-200 employees
Founded
2016
Gremlin is a chaos engineering and reliability testing platform that helps engineering and SRE teams find and fix reliability risks before they become costly outages. It provides safe fault‑injection experiments (CPU, memory, network, process/service failures, etc.), automated test workflows and CI/CD/Kubernetes support, plus integrations with observability and incident tools. Built with safety guardrails, runbooks, RBAC and enterprise controls, Gremlin lets teams run targeted experiments in production or staging to validate resiliency and improve incident readiness. Customers use it to reduce downtime, protect revenue, and proactively manage reliability at scale.
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 Gremlin.
48% above the average for this role
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