Description
We are looking for a Technical Project Manager to own IT infrastructure in Nebius data centers from the moment it is accepted into operations. You will work with modern GPU clusters , GPU servers, high-speed networking, compute and storage , acting as the link between the Project team, DC engineers, vendors and IT Operations.
Responsibilities
- Acceptance & operational readiness of new sites and clusters
- Represent IT Operations in new site and cluster projects from the planning stage: define acceptance criteria and operational readiness requirements upfront, before build starts.
- Own the acceptance process: readiness assessments, acceptance testing against agreed criteria, punch lists, operational sign-off.
- Prepare operations for takeover: operational procedures, tooling, documentation, on-site processes, spares and vendor support in place before sign-off.
- Manage the transition period from Project team to IT Operations, including defect follow-up and closure of open items after handover.
- Operations projects & change management in live DCs
- Manage and deliver IT infrastructure projects and change requests in production data centers: hardware deployments and replacements, capacity changes in accepted clusters, network and cabling changes, decommissioning.
- Own the change lifecycle for DC IT infrastructure: change requests, risk and impact assessment, MOPs, maintenance windows, rollback plans, post-implementation review.
- Manage risks and dependencies in live environments; proactively identify technical, operational and process issues and drive them to resolution.
- Stakeholders, communication & documentation
- Lead communication with all stakeholders: transparent progress reporting, expectation management, escalation of critical blockers, timely decision-making.
- Lead project meetings, technical reviews and operational readiness discussions with a focus on clear ownership, actionable outcomes and execution.
- Maintain project and operational documentation: acceptance criteria and reports, risk registers, issue logs, operational procedures, handover documentation, deployment reports.
- Cross-functional coordination & operational excellence
- Coordinate engineering, infrastructure, network, security, procurement, hardware lifecycle and operations teams across acceptance and operational phases.
- Work directly with data center engineers, vendors, contractors and operations teams.
- Lead operational reviews and planning with internal teams; improve reliability, response times and workflows.
- Contribute to automation, process improvements and design support as needed.
Requirements
- Proven experience in data center IT infrastructure operations, preferably in high-performance or AI-oriented environments.
- Experience accepting IT infrastructure into operations: defining acceptance criteria, running readiness assessments, taking handover from project teams.
- Experience running changes in live production environments: change requests, MOPs, maintenance windows, rollback planning.
- Solid understanding of data center design and operations: racking, cabling, power planning, cooling considerations.
- Hands-on experience with IT hardware in data centers; comfortable on site during live operations.
- Experience in project delivery, team coordination and cross-team collaboration.
- Strong problem-solving skills; ability to troubleshoot technical and workflow issues across the IT stack.
- Ability to document processes, maintain tracking systems and produce clear acceptance, deployment and handover reports.
- Strong stakeholder management; clear communication between technical and business teams.
- Ownership, drive and follow-through , including the ability to refuse sign-off when criteria are not met.
- Ready for regular business trips, including on-site presence during acceptance of new sites and clusters.
Nice to Have
- Structured project management or delivery frameworks (PRINCE2, PMI, Agile).
- ITIL / formal change management experience.
- Relevant technical certifications.
- Familiarity with GPU clusters / AI workloads.
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