Together AI
This role involves operating, scaling, and optimizing multi-petabyte storage systems designed for large-scale AI training and inference workloads. The position requires managing high-performance parallel filesystems and object stores while building Kubernetes-native storage operators for automated provisioning and performance isolation. Key responsibilities include optimizing end-to-end data paths, designing multi-tier caching architectures, and tuning storage infrastructure for extreme throughput and low-latency requirements.
Headquarters
San Francisco, California, United States
Company Size
51-200 employees
Founded
2022
Together AI is an "AI Native Cloud" that helps teams reliably build, deploy, and scale AI-native applications. It combines cutting‑edge research with a complete developer experience and infrastructure optimized for high price‑performance. Together provides hosted model training and inference, APIs/SDKs, and tooling to move projects from experimentation into production. Customers pick it for scalability, cost efficiency, and faster time-to-production for AI applications.
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 Together AI.
Together AI didn’t post a salary, so this is our estimate from similar listings.
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