Senior Technical Project Manager (Region Delivery)

Accountabilities

• • Own the delivery of new compute regions and GPU cluster deployment projects from initial kickoff through production handover.
  • Coordinate capacity acceptance processes, ensuring infrastructure availability, quota allocations, monitoring, alerting, documentation, and formal sign-off are complete before customer readiness.
  • Coordinate acceptance testing across compute, storage, networking, GPU, and other engineering teams, establishing clear ownership of testing activities.
  • Act as the real-time escalation point during live deployments, quickly coordinating the appropriate teams to resolve hardware failures, provisioning issues, capacity conflicts, and other blockers.
  • Establish and maintain clear contracts, ownership models, and responsibilities between teams involved in regional delivery.
  • Drive alignment across multiple engineering teams while maintaining momentum without relying on formal authority.
  • Identify delivery risks, dependencies, resource constraints, and blockers early, taking decisive action to keep projects on track.
  • Run structured, concise status communications that provide stakeholders with clear visibility into deployment progress, risks, decisions, and next steps.
  • Drive continuous improvement across deployment and acceptance workflows, identifying opportunities to automate repetitive processes and increase delivery efficiency.
  • Develop and maintain clear documentation, processes, and operational standards that reduce ambiguity and improve collaboration.
  • Partner with technical stakeholders to ensure new infrastructure meets operational, performance, reliability, and production-readiness expectations.

  Requirements

  • Proven experience leading complex technical projects, engineering initiatives, or technical teams, ideally within cloud infrastructure, data centers, compute platforms, networking, or related environments.
  • Demonstrated ability to coordinate multiple engineering teams simultaneously and drive alignment without formal management authority.
  • Strong project delivery skills, including planning, dependency management, risk identification, prioritization, escalation, and stakeholder communication.
  • Ability to remain calm, structured, and decisive when managing live deployments, incidents, technical blockers, or rapidly changing priorities.
  • Strong bias toward clearly defined ownership, documented processes, and proactive problem-solving rather than ad hoc firefighting.
  • Excellent communication and collaboration skills, with the ability to translate complex technical situations into clear status updates and actionable decisions.
  • Comfortable operating in fast-paced, highly technical environments where priorities and requirements can evolve quickly.
  • Strong organizational skills and attention to detail, particularly when coordinating complex infrastructure delivery involving multiple dependencies.
  • Fluent English, both written and spoken.
  • Experience with cloud or compute capacity management, GPU infrastructure, or large-scale data center deployments is a strong advantage.
  • Experience working with infrastructure delivery, hardware rollouts, platform engineering, networking, or production operations is highly valued.

  Benefits

  • Competitive compensation.
  • Career growth and continuous learning opportunities.
  • Flexible working environment with significant ownership and autonomy.
  • Opportunity to work remotely from Germany as part of a Europe-based team.
  • International environment with highly experienced engineers and technical specialists.
  • Opportunity to work on impactful infrastructure supporting the rapidly expanding AI ecosystem.
  • Exposure to large-scale compute, GPU infrastructure, cloud platforms, networking, and deployment operations.
  • Opportunity to shape delivery processes and introduce automation and operational improvements.
  • Fast-moving environment that encourages bold thinking, ownership, and continuous growth.
  • Meaningful opportunity to contribute to infrastructure that helps shape the future of AI.
  • Inclusive workplace committed to equal employment opportunities and a diverse workforce.