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Customer Success Engineer (CSE), GPU Cluster

Together AI· Customer Success
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Hybrid (San Francisco, CA), Hybrid (New York, NY)$260k - $290kfull-timePosted 5mo ago

About the role

Technical owner for a strategic customer relationship, serving as the primary technical contact across compute, networking, storage, and facilities to ensure flawless delivery and operational health of large-scale GPU deployments.

Responsibilities

  • 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, DC Ops, and Engineering teams
  • Own end-to-end RMA coordination and hardware lifecycle management, including acceptance testing, spare inventory management, and hardware health reporting for large-scale GPU deployments
  • Maintain deep technical expertise across the customer's infrastructure stack — GPU compute, high-speed fabric, and large-scale storage systems — advising on configuration, operational best practices, and incident resolution
  • Own the observability strategy for the customer estate, including alert policy definition, dashboard development, and proactive health management across all infrastructure layers
  • Coordinate DC operations and facilities events in partnership with internal teams and hosting providers, ensuring SLA compliance and cluster availability
  • Act as project manager for all capacity expansions, owning the full node deployment lifecycle from freight receipt through production acceptance

Qualifications

  • 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
  • Proficiency in infrastructure monitoring and observability tooling (Prometheus, Grafana, or equivalent)
  • Proven ability to manage multiple concurrent workstreams with hyperscaler-level rigor and communication standards
  • Proficiency in Python, Bash, or infrastructure automation tools preferred

Skills

Required:Customer relationship managementGPU infrastructureNetworking (Ethernet, InfiniBand)Enterprise storageDC operations & facilities coordinationObservability toolingIncident management & RCAProject management

Benefits

  • competitive compensation
  • startup equity
  • health insurance
  • other benefits
  • flexibility in terms of remote work
Last updated Sep 9, 2026. Interested? Apply on the company site.

About Together AI

The AI Acceleration Cloud - Fast Inference, Fine-Tuning & Training

Run and fine-tune generative AI models with simple APIs and scalable GPU clusters. Train & deploy at scale on The AI Acceleration Cloud.

AI native cloudFine-TuningGPU clustersInferenceTrainingai-infrastructure-and-developmentbrex-fastest-growing-2025liquid-ai-recruiting-target
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