Description
As a Senior Technical Program Manager, you will own the end-to-end delivery of GPU clusters and other critical IT infrastructure components that power next-generation AI workloads.
In this high-impact role, you’ll coordinate engineering, networking, construction, and operations teams to deliver GPU clusters and critical IT infrastructure at hyperscale. You’ll work closely with infrastructure leadership to define strategy, manage risk, and ensure on-time, high-quality launches.
Your responsibilities will include:
- Leading end-to-end delivery of new data center programs, from design through handover to operations.
- Defining and managing scope, schedule, and risks, maintaining focus on critical paths and proactive issue resolution.
- Translating business and technical requirements into actionable project plans and measurable deliverables.
- Overseeing vendor and contractor execution, ensuring quality, budget, and schedule.
- Providing structured program reporting, including dashboards, documentation, and executive updates.
Requirements:
- 7+ years of experience in technical program or project management, with direct involvement in large-scale IT infrastructure deployments.
- Solid technical background in relevant domains, with the ability to engage deeply in technical discussions and challenge solutions where needed.
- Proven ability to stay focused on critical paths and drive results in fast-paced, changing environments.
- Communication and stakeholder management skills; able to translate complex topics clearly.
- Leadership by influence and example in cross-functional or matrixed teams.
- Proficient with modern project management tools and methodologies (e.g., Jira, Asana, hybrid Agile/Waterfall).
Nice to have:
- Understanding of construction projects structure and key risk factors in facility build-outs.
- Knowledge of HPC.
- Experience in business processes design or automation tools development.
- PMP, PRINCE2, or similar industry certifications.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams