**About the Role** The manager for CEM (Capacity Execution Management) TPMs will lead initiatives related to cloud resource demand forecasting, capacity supply management, strategic cost optimization, and capacity safety initiatives. You will work closely with product & platform engineering, product management, strategic finance, and efficiency teams to operationalize cloud resource allocation, streamline internal processes, and ensure cost-effective and scalable infrastructure. This role will require a deep understanding of capacity demand and supply management, resource forecasting, cloud platforms, along with hands-on experience in managing cloud pricing models, optimizing consumption, and driving process improvements across teams. Additionally, having knowledge and experience with capacity provisioning operations will be hugely beneficial. As a key leader, you will ensure accurate forecasting, drive cost-saving initiatives, and refine internal workflows to enhance collaboration and efficiency in managing cloud infrastructure. You will also serve as a strategic partner to key stakeholders across the organization, ensuring alignment on infrastructure needs, resource planning, and cost management. **What the Candidate Will Do:** **Capacity and Resource Demand Planning:** Lead the development and execution of resource demand forecasts for cloud infrastructure across multiple platforms, including OCI and GCP. Partner with platform, product, and infrastructure teams to understand growth trends, business needs, and technology roadmaps to plan for future resource requirements. **Internal Process Optimization:** Analyze and refine internal processes related to capacity management, cloud consumption, and resource provisioning. Establish best practices for forecasting, tracking usage, and managing cloud resources to ensure efficiency and alignment across cross-functional teams. **Forecasting & Optimization:** Use historical usage data, predictive analytics, and cloud-native tools to forecast future resource utilization across OCI and other cloud environments. Recommend optimizations to balance cloud costs with capacity needs and ensure high performance, availability, and cost-efficiency. Ensure alignment between platform engineering and strategic finance and provide monthly guidance based on a number of inputs for a bottoms up forecast model. **Consumption & Cost Optimization:** Develop and implement cost management strategies to optimize cloud resource consumption and reduce waste. Drive initiatives that leverage cost-saving features, such as OCI’s Reserved Instances, Auto-Scaling, and budgeting tools, to align with organizational financial goals. **Cloud Infrastructure Strategy:** Collaborate with cloud architects, engineering teams, and business leaders to define infrastructure strategies that ensure scalability, reliability, and performance. Advocate for cost-efficient practices and tools within OCI and other cloud environments to reduce unnecessary expenditures. **Pricing and Cost Management:** Leverage deep knowledge of cloud pricing models across multiple cloud vendors to optimize cloud resource usage. Manage and operationalize resource allocation and consumption to minimize costs, including leveraging discount programs, and adopting pricing optimization strategies in OCI and other platforms (e.g., spot instances, committed use, etc.). **Stakeholder Management & Communication:** Build and maintain strong relationships with stakeholders across engineering, finance, product, and operations teams. Communicate effectively to ensure alignment on infrastructure capacity planning and cost management goals. Provide regular updates to senior leadership on resource utilization, cost trends, and optimization initiatives. **Cross-Functional Collaboration:** Facilitate collaboration between cross-functional teams (engineering, finance, product, and operations) to ensure that cloud infrastructure strategies align with business goals. Ensure smooth communication and coordination between teams to support ongoing infrastructure initiatives and optimize cloud resource management. **Basic Qualifications:** - **Experience:** - 10+ years of experience in technical program management, with majority years focused on cloud infrastructure management, capacity planning, and/or resource demand forecasting. - Proven experience in managing cloud environments at scale, including strong experience with OCI, AWS, Azure and/or GCP. - Extensive experience in cloud cost optimization, including hands-on experience with cloud vendor pricing models, Reserved Instances, CUDs/Reservations, and other cost and capacity optimization strategies. - Proven track record of building and/or managing a team of TPMs with deep technical knowledge. - **Skills & Knowledge:** - Strong understanding of cloud architecture, resource provisioning, and capacity management. - Expertise in using data-driven approaches for cloud resource forecasting, cost management, and capacity optimization. - Good knowledge of cloud vendor-specific tools and features for resource utilization and provisioning, cost optimization, and pricing models. - Experience with creating operational excellence for capacity management, supply allocation, demand vs supply reconciliation. - Familiarity with capacity management and cost optimization tools across multiple cloud platforms (e.g., AWS, Azure, GCP, OCI). - **Stakeholder Management & Communication:** - Strong ability to manage and influence a broad set of internal stakeholders, including senior leadership, technical teams, and finance teams. - Exceptional communication skills, with the ability to distill complex technical and financial information into clear, actionable insights for non-technical stakeholders. - **Leadership & Program Management:** - Proven success in managing cross-functional teams and initiatives. - Experience leading and mentoring teams, driving continuous process improvement, and managing multiple projects in parallel. - Ability to lead without direct authority and influence decision-making across various teams. - **Education:** - Bachelor’s degree in Computer Science, Engineering, or a related field. **Preferred Qualifications:** - Experience with advanced analytics, machine learning, or AI-driven forecasting for resource planning and cost optimization. - Experience in rapidly scaling environments, with a focus on driving both performance and cost efficiency in cloud resource management. For San Francisco, CA-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits). Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A). Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.