Maintenance Analyst, Data Center Delivery

OpenAI
San Francisco, Seattle, United States
Workplace: HybridFull timeUSD 159,000 - 285,000 annuallyFunction: Field Service, Maintenance & Skilled TradesSkills: ["Attention to detail","Organizational skills","Project coordination","Communication","Ability to work in fast-moving environments"]

Support the build, commissioning, and turnover of large-scale data center infrastructure by collecting and validating vendor equipment information and maintaining accurate equipment records, asset registers, and tagging. Coordinate with vendors, contractors, and commissioning teams to resolve documentation gaps, track equipment readiness and commissioning milestones, reconcile schedules with field progress, and ensure maintenance requirements and warranties are complete for operations handoff.

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FursaFursa
OpenAI
OpenAI
15 hours ago

Maintenance Analyst, Data Center Delivery

āœ“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Support the build, commissioning, and turnover of large-scale data center infrastructure by collecting and validating vendor equipment information and maintaining accurate equipment records, asset registers, and tagging. Coordinate with vendors, contractors, and commissioning teams to resolve documentation gaps, track equipment readiness and commissioning milestones, reconcile schedules with field progress, and ensure maintenance requirements and warranties are complete for operations handoff.
Location: San Francisco, Seattle, United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Field Service, Maintenance & Skilled Trades

Key Responsibilities

  • ā€¢Own the collection, validation, and entry of vendor equipment information into equipment logs, asset registers, tagging systems, and infrastructure management tools.
  • ā€¢Maintain accurate equipment records (manufacturer, model/serial numbers, location, system association, warranty, and maintenance requirements).
  • ā€¢Review vendor submittals, equipment data sheets, O&M manuals, warranties, and technical documentation to ensure information completeness and correct asset mapping.
  • ā€¢Coordinate with vendors, contractors, construction teams, and commissioning teams to resolve missing, incomplete, or inconsistent equipment information and documentation.
  • ā€¢Track equipment readiness and commissioning activities (dependencies, milestones, completion status) and reconcile equipment records and project schedules against field progress for escalation and turnover support.

Pay and Benefits

Salary: USD 159,000 - 285,000 annually
Equity and Bonus:Equity

Key Requirements

  • ā€¢Experience supporting data centers, industrial facilities, utilities, manufacturing environments, or other complex mechanical/electrical equipment projects.
  • ā€¢Experience maintaining equipment registers, asset databases, equipment tags, maintenance records, or CMMS/EAM systems.
  • ā€¢Familiarity with equipment installation, startup, commissioning, turnover, and operational readiness processes.
  • ā€¢Ability to interpret equipment schedules, vendor submittals, data sheets, O&M manuals, commissioning documentation, warranties, and maintenance requirements.
  • ā€¢Ability to track project schedules, dependencies, milestones, equipment readiness, and field progress in a dynamic project environment.
Skills:Attention to detailOrganizational skillsProject coordinationCommunicationAbility to work in fast-moving environments
Tech Stack:CMMSEAMAsset managementInfrastructure management tools

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALLĀ·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
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