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AI Infrastructure DC TPM II

Key Facts

Full time
Mid-level (2-5 years)
73 - 101K yearly
English

Other Skills

  • Scheduling
  • Governance
  • Mentorship
  • Leadership
  • Communication

Roles & Responsibilities

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

Requirements:

  • 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.

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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