Senior Technical Program Manager (Cloud Capacity)

Jobgether; Ireland; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Flexible working

Remote from Germany

Career growth

Ownership/autonomy

International team

Job summary

Jobgether seeks a Senior Technical Program Manager (Cloud Capacity) based in Ireland to own capacity planning and expansion across multiple data centers. You will turn consumption trends into infrastructure requirements and drive procurement, deployment, and availability with engineering and business teams.

The role combines quantitative analysis with program management across technical and business teams, influencing infrastructure readiness and scalability for cloud services.

Qualifications

• Experience in technical project/program management, data analytics, capacity planning, or a closely related field.
• Strong analytical background with the ability to work with quantitative data to guide decisions.
• Understanding of forecasting methodologies and their practical limitations.
• Ability to understand technical infrastructure constraints and communicate with engineers.
• Coordinating complex work across multiple independent teams without formal authority.
• Strong written and verbal communication skills for diverse audiences.
• Ownership mindset with proactive risk management and follow-through.
• SQL querying experience is a plus.
• Monitoring/BI tools like Grafana or DataLens are desirable.

Responsibilities

• Analyze historical and current cloud resource consumption to identify trends and capacity constraints.
• Build and maintain capacity forecasts for compute, storage, and other resources across data centers.
• Translate forecasts into concrete infrastructure requirements and resource needs.
• Initiate capacity requests and coordinate with Supply Chain for procurement and deployment.
• Maintain end-to-end view of capacity expansion projects from forecast to deployment and availability.
• Coordinate expansion plans with data center operations and deployment dependencies.
• Collaborate with engineering to plan and coordinate new capacity deployments.
• Track timelines, dependencies, risks, and blockers, driving resolutions.
• Provide stakeholders with clear, reliable capacity plans, timelines, and status updates.
• Own capacity outcomes by addressing challenges and ensuring follow-through.

Skills

Technical PM

Data analytics

Capacity planning

Forecasting

Infrastructure planning

SQL

Stakeholder communication

Cross-functional coordination

Tools

Grafana

DataLens

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Technical Program Manager (Cloud Capacity) based in Ireland. Join a fast-growing technical organization building infrastructure for the global AI economy and large-scale cloud workloads. You’ll own capacity planning and expansion across multiple data centers, ensuring infrastructure keeps pace with customer demand. Working at the intersection of data analytics, infrastructure engineering, procurement, operations, and product, you’ll turn consumption trends into concrete infrastructure requirements. You’ll analyze usage patterns, build forecasts, identify capacity risks, and coordinate expansions from initial planning through customer availability. The role combines hands-on quantitative analysis with complex program management across independent technical and business teams. Your decisions will directly influence infrastructure readiness, resource availability, operational efficiency, and the ability to scale cloud services reliably. This is an ideal opportunity for a data-driven technical program leader who enjoys solving complex capacity challenges and taking ownership from forecast to execution.

Accountabilities

• Analyze historical and current consumption of cloud resources to identify trends, anomalies, demand patterns, and potential capacity constraints.
• Build and maintain capacity forecasts for compute, storage, and other infrastructure resources across multiple data centers.
• Translate demand forecasts into concrete infrastructure requirements, including the number and type of additional servers and resources needed.
• Initiate capacity requests and work closely with Supply Chain teams throughout procurement, purchasing, delivery, and deployment.
• Maintain an end-to-end view of capacity expansion projects, from demand forecasting and requirements definition through procurement, delivery, installation, deployment, and customer availability.
• Coordinate expansion plans with data center operations teams, including installation schedules, infrastructure readiness, and deployment dependencies.
• Work closely with engineering teams to plan and coordinate the deployment of new capacity.
• Track project timelines, dependencies, risks, and blockers while proactively driving resolution across teams.
• Provide engineering, product, business, and leadership stakeholders with clear and reliable information about capacity plans, delivery timelines, current status, risks, and dependencies.
• Take ownership of capacity-related outcomes by anticipating upcoming challenges, driving decisions, following up on commitments, and ensuring issues are resolved rather than passed between teams.
• Continuously improve capacity planning processes, analytical approaches, reporting, and operational workflows.

Requirements

• Proven experience in technical project or program management, data analytics, capacity planning, infrastructure planning, or a closely related field.
• Strong analytical background with the ability to work confidently with quantitative data and use it to guide operational and strategic decisions.
• Understanding of fundamental statistical concepts and forecasting methodologies, including their practical limitations and appropriate use cases.
• Ability to understand technical infrastructure constraints and communicate effectively with engineers and technical specialists.
• Demonstrated experience coordinating complex work across multiple independent teams without relying on formal authority.
• Strong written and verbal communication skills, with the ability to translate technical and analytical information into clear plans, decisions, risks, timelines, and status updates for different audiences.
• Strong ownership mindset, with a proactive approach to identifying risks, driving decisions, following up on actions, and delivering outcomes.
• Excellent organizational and prioritization skills, particularly when managing multiple dependencies and competing capacity requirements.
• Comfortable working in a fast-moving environment where priorities, forecasts, and infrastructure needs can evolve.
• Previous experience as a data analyst, product analyst, or similar analytical role before transitioning into program or project management is a strong advantage.
• Ability to independently query and analyze data using SQL is a plus.
• Hands-on experience with monitoring and business intelligence tools such as Grafana, DataLens, or similar platforms is desirable.
• Experience with capacity planning, demand forecasting, infrastructure resource management, or cloud resource optimization is highly valued.
• Understanding of cloud or data center infrastructure, including servers, racks, compute, storage, networking, and operational dependencies, is a strong advantage.
• Experience with procurement, hardware supply chains, or physical infrastructure deployments is a plus.

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 talented engineers, technical specialists, and business professionals.
• Opportunity to work on impactful infrastructure projects supporting the rapidly growing AI ecosystem.
• Exposure to large-scale cloud capacity planning, data center operations, infrastructure engineering, and supply chain processes.
• Opportunity to influence how infrastructure is planned, scaled, and made available to customers.
• Fast-moving culture that encourages bold thinking, continuous growth, and meaningful impact.
• Strong emphasis on trust, ownership, and the opportunity to shape the future of AI.
• Inclusive workplace committed to equal employment opportunities and a diverse workforce.
• Applicants must have authorization to work in the country where they are employed.