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© All Rights Reserved. ApplyBlast.com
scaleops
ScaleOps is seeking an AI Platform Team Lead to oversee the internal platform used by its R&D team, focusing on CI/CD, Kubernetes tooling, developer experience, and infrastructure automation. The role involves hands-on leadership, building AI tools, and collaborating with backend, product, and R&D teams to enhance the development lifecycle. The ideal candidate will have extensive experience in platform engineering, infrastructure, and AI/ML, with a strong background in Kubernetes and cloud technologies.
Headquarters
New York, New York, United States
Company Size
11-50 employees
Founded
2022
ScaleOps is an autonomous cloud and AI infrastructure optimization platform that continuously manages resources for Kubernetes, GPU, and AI workloads in production. It automates real-time rightsizing of CPU, memory, GPU, storage, and network resources without manual tuning, keeping workloads performant under any load while cutting cloud costs by up to 80%. ScaleOps serves as a complete platform for both traditional Kubernetes environments and modern AI inference workloads, freeing engineering teams from repetitive infrastructure management.
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 scaleops.
scaleops didn’t post a salary, so this is our estimate from similar listings.