Senior Technical Program Manager (Cloud Capacity)

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.

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