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Data Center Operations Coordinator

Together AI· Engineering
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Hybrid (San Francisco)$150k - $200kfull-timePosted 4mo ago

About the role

Coordination and management of break/fix activities across multiple data center locations, acting as the central point for hardware incidents, vendor dispatches, ticket management, asset tracking, and operational reporting to maximize uptime and rapid issue resolution.

Responsibilities

  • Track and manage all break/fix incidents across multiple data centers
  • Monitor ticket queues and ensure SLA compliance for incident response and resolution
  • Coordinate with on-site technicians, remote hands teams, vendors, and engineering groups
  • Maintain accurate records of failed hardware, replacements, RMAs, and repair status
  • Escalate critical outages and recurring infrastructure issues to leadership and engineering teams
  • Schedule and oversee maintenance windows and emergency repair activities
  • Provide daily/weekly operational status reports and incident summaries
  • Ensure all work follows data center operational procedures and change management policies
  • Identify trends in hardware failures and recommend process improvements

Qualifications

  • Experience working in data center operations, IT infrastructure, or hardware support
  • Strong understanding of server, storage, and networking hardware
  • Experience with ticketing systems such as ServiceNow, Jira, or Remedy
  • Ability to manage multiple priorities across several sites simultaneously
  • Excellent communication and organizational skills
  • Familiarity with SLA management and incident escalation processes
  • Proficiency with Excel, reporting dashboards, and inventory tracking tools

Skills

Required:Incident managementTicketing systemsAsset tracking and inventory

Benefits

  • competitive compensation
  • startup equity
  • health insurance and other competitive benefits
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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