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AI Infrastructure DC TPM II

Role overview

Qualifications

  • Advanced understanding of AI infrastructure technologies including GPU platforms, storage systems, networking, and data center operations.
  • 8+ years of technical project or program management experience within infrastructure environments.
  • Proven experience leading large-scale infrastructure deployment or transformation programs.
  • Strong risk management, executive communication, and stakeholder alignment skills.

Responsibilities

  • Lead large-scale AI infrastructure deployment programs across multiple sites, regions, or business units.
  • Drive end-to-end project execution for GPU clusters, AI compute environments, storage platforms, high-speed networks, and data center infrastructure.
  • Develop integrated project plans, implementation strategies, and operational readiness frameworks.
  • Manage cross-functional coordination between engineering, operations, supply chain, vendors, and executive stakeholders.

Key facts

Other skills

  • Communication
  • Teamwork
  • Problem Solving

About the company

Astreya logo

Astreya

IT Services & IT Consulting

Astreya is the leading IT solutions provider for some of the world's most recognizable and innovative organizations. Our journey started in 2001 in the heart of Silicon Valley and reaches thirty-three countries with over 2200+ IT professionals. We enable businesses to make better decisions, achieve operational efficiency and gain a competitive edge. The Astreya advantage is centered around focus and clear- vision, world-class talent, and innovative technology: Creativity is in our DNA. Our dedicated Software and Service Innovation teams bring best-in-class technology and tools to bear for our clients.

Company details

Company typeLarge
IndustryIT Services & IT Consulting
Company size1001 - 5000

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Job description

AI Infrastructure Datacenter Technical Project Manager II


The AI Infrastructure Datacenter Technical Project Manager Level 2 serves as a senior project leader responsible for managing large-scale AI infrastructure programs, complex technical deployments, and cross-functional strategic initiatives. This role drives execution excellence across compute, GPU, storage, networking, and data center infrastructure domains while ensuring alignment with business and operational objectives.


Key Responsibilities
● Lead large-scale AI infrastructure deployment programs across multiple sites, regions, or business units.
● Drive end-to-end project execution for GPU clusters, AI compute environments, storage platforms, high-speed networks, and data center infrastructure.
● Develop integrated project plans, implementation strategies, and operational readiness frameworks.
● Manage cross-functional coordination between engineering, operations, supply chain, vendors, and executive stakeholders.
● Identify and mitigate program risks, schedule impacts, technical dependencies, and operational constraints.
● Lead infrastructure migration, expansion, upgrade, and modernization initiatives.
● Drive governance reviews, project reporting, KPI tracking, and executive-level communications.
● Coordinate infrastructure acceptance testing, deployment validation, and production readiness activities.
● Mentor junior project managers and contribute to PMO process standardization and operational maturity.
● Support vendor negotiations, technical evaluations, and infrastructure planning initiatives.
Scope & Complexity
● Leads highly complex infrastructure programs with multiple concurrent workstreams.
● Manages enterprise-scale AI infrastructure deployments and operational initiatives.
● Influences program execution standards, governance models, and delivery methodologies.

 

Requirements
● Advanced understanding of AI infrastructure technologies including GPU platforms, storage systems, networking, and data center operations.
● 8+ years of technical project or program management experience within infrastructure environments.
● Proven experience leading large-scale infrastructure deployment or transformation programs.
● Strong risk management, executive communication, and stakeholder alignment skills.
● Experience coordinating multi-vendor and cross-functional technical teams.
● Ability to manage complex schedules, budgets, and operational dependencies.
● Relevant certifications preferred (PMP, PgMP, ITIL, Agile, CCNA, etc.).

Salary Range

$72,960.00 - $100,800.00 USD (Salary)
  • Please note that the salary information provided herein is base pay only (gross); it does not include other forms of compensation which may or may not apply to this specific position, namely, performance-based bonuses, benefits-related payments, or other general incentives - none of which are guaranteed, may be subject to specific eligibility requirements, and are wholly within the discretion of Astreya to remit.
  • Further, the salary information noted above is a range that consists of a minimum and maximum rate of pay for this specific position. Where an applicant or employee is placed on this range will depend and be contingent on objective, documented work-related considerations like education, experience, certifications, licenses, preferred qualifications, among other factors.

Astreya offers comprehensive benefits to all Regular, Full-Time Employees, including:

  • Medical provided through UHC (PPO, HSA, Surest options) / Medical provided through Kaiser (HMO option only) for California employees only

  • Dental provided through UHC

  • Nationwide Vision provided by UHC

  • Flexible Spending Account for Health & Dependent Care

  • Pre-Tax Account for Commuter Benefit/Parking & Transit (location-specific)

  • Continuing Education and Professional Development via various integrated platforms, e.g. Udemy and Coursera

  • Corporate Wellness Program provided by Goomi Group

  • Employee Assistance Program

  • Wellness Days

    401k Plan

  • Basic and Supplemental Life Insurance

  • Short Term & Long Term Disability

  • Critical Illness, Critical Hospital, and Voluntary Accident Insurance

  • Tuition Reimbursement (available 6 months after start date, capped)

  • Paid Time Off (accrued and prorated, maximum of 120 hours annually)

  • Paid Holidays

  • Any other statutory leaves, paid time, or other ancillary benefits required under state and federal law

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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