Startups · AI

Customer Success Engineer (CSE), GPU Cluster

Together AI · San Francisco · On-site

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About Together AI

Build what's next on the AI Native Cloud. Full-stack AI platform for inference, fine-tuning, and GPU clusters — powered by cutting-edge research. Backed by General Catalyst, Kleiner Perkins and NEA.

About the role

As a Customer Success Engineer at Together AI, you will serve as the named technical owner for one of our most strategic customer relationships. You will be the primary technical point of contact across all infrastructure domains — compute, networking, storage, and facilities — ensuring flawless delivery and operational health of large-scale GPU deployments.

What they're looking for

  • 5+ years in a customer-facing technical role, with 2+ years in dedicated technical account management or solutions architecture for large-scale AI or HPC infrastructure
  • Deep expertise in GPU infrastructure — GPU health diagnostics, RMA workflows, and hardware acceptance testing
  • Hands-on experience with large-scale Ethernet and InfiniBand fabric architecture
  • Working knowledge of enterprise storage systems, including high-density NVMe, parallel file systems, and metadata infrastructure
  • Experience with DC operations, facilities coordination, and hosting provider SLA management
  • Strong ownership mindset for incident management, RCA authorship, and executive-level customer communication
More about this role

As a Customer Success Engineer at Together AI, you will serve as the named technical owner for one of our most strategic customer relationships. You will be the primary technical point of contact across all infrastructure domains — compute, networking, storage, and facilities — ensuring flawless delivery and operational health of large-scale GPU deployments. This role sits at the intersection of deep infrastructure expertise and high-stakes customer partnership, making you a critical driver of both customer success and company growth.

  • Serve as the named technical point of contact for a dedicated strategic customer, owning the end-to-end technical relationship across compute, networking, storage, and facilities
  • Drive structured engagement through regular cadences — status reporting, technical steering meetings, quarterly business reviews (QBRs), and executive business reviews (EBRs) — spanning both operational and strategic levels
  • Translate customer operational feedback into actionable input for Engineering, Product, and Infrastructure roadmaps
  • Lead issue lifecycle management, escalation, and RCA authorship across all infrastructure domains in partnership with Support, SRE,...

Read the full posting on Together AI's site ↗

Customer Success

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