Technical Program Manager, Deployments

Fluidstack is building infrastructure for abundant intelligence, partnering with leading AI labs and enterprises. The Technical Program Manager for Deployments will own the program delivery for data center infrastructure and AI cluster activation, coordinating across various teams to ensure successful deployment readiness.

Responsibilities:

• Own program delivery for data hall and AI cluster activation, from planning through operational handoff
• Coordinate cross-functional teams responsible for construction, infrastructure, network, hardware, and operations execution
• Translate hyperscale AI/GPU and DLC infrastructure requirements into actionable deployment plans
• Anticipate downstream impacts of technical sequencing decisions on capacity, schedule, and performance
• Drive alignment across teams operating at different speeds, scopes, and time zones
• Operate effectively in ambiguity, making progress with incomplete information and evolving requirements
• Maintain clear program artifacts and communicate status, risks, and decisions to stakeholders
• Maintain momentum through changing requirements, tight timelines, and cross-time-zone execution

Requirements:

• 5+ years experience in delivering complex data center or infrastructure programs in fast-moving environments
• Strong understanding of AI/GPU infrastructure, including power density, cooling, networking, and deployment sequencing
• Familiarity with how construction, low-voltage, and commissioning activities impact deployment readiness
• Proven ability to lead through influence rather than direct ownership of execution teams
• Comfortable operating with limited process and evolving inputs
• Demonstrated ability to take initiative, fill gaps, and drive execution beyond defined scope
• Able to balance strategic thinking with hands-on program management
• Comfortable operating outside standard business hours when required to meet deployment timelines
• Strong execution mindset with the ability to balance speed, quality, and risk
• Excellent communication skills
• Strong ability to ensure stakeholder alignment and understanding of priorities objectives throughout the project lifecycle
• Excellent analytical and problem-solving skills with a data-driven approach to decision making
• Automation-first mindset with commitment to identifying and implementing process improvements
• You are willing and able to travel to data center locations, sometimes on short notice; expect to spend up to 60% of your time traveling
• JIRA experience for project tracking and workflow management
• Background in GPU infrastructure or AI/ML platform deployments
• Knowledge of infrastructure automation and deployment tools