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Staff Technical Program Management – Capacity Execution & Management

Staff Technical Program Management – Capacity Execution & Management

CompanyUber
LocationSan Francisco, CA, USA, Sunnyvale, CA, USA
Salary$211000 – $234000
TypeFull-Time
DegreesBachelor’s
Experience LevelExpert or higher

Requirements

  • 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.
  • 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).
  • 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.
  • 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.
  • Bachelor’s degree in Computer Science, Engineering, or a related field.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.).
  • 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.
  • 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.

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.