About The Position

The CloudTune Capacity Management and Planning (CaMP)-PMO team is responsible for planning, procuring, and managing cloud AWS infrastructure resources—including business-critical Gen AI resources—used by Amazon's WW Stores, Digital, and Other businesses (Alexa, Advertising, Digital Video, Retail Website Marketplaces, and more). This team owns SDO-wide cross-cutting programs spanning short-term capacity assurance for peak events such as Prime Day, Black Friday, and Cyber Monday, as well as longer-term capacity assurance programs such as Diversify Mega regions, while balancing and managing IMR spend. As Gen AI becomes foundational to Amazon's customer experience and operational excellence, GPU capacity has emerged as one of the most strategically constrained resources. The role is for a passionate, deeply technical, and results-oriented Principal Technical Program Manager to join the team and lead the mission-critical GenAI program by partnering closely with SDO-wide organizations and AWS/Bedrock teams. You will be responsible for capacity management and assurance of highly constrained GPUs that power Amazon's Gen AI capabilities—a resource where demand consistently exceeds supply by 2-3x. This includes driving supply and supportability with AWS to secure and scale GPU infrastructure, owning engineering goals for systematic end-to-end demand-supply signals to optimize allocation, and leading migration initiatives to move inferencing workloads to Bedrock, improving efficiency and reducing infrastructure pressure. The ideal candidate will have a proven track record of planning and delivering complex programs with multi-year roadmaps using Agile and incremental delivery methods, experience influencing architectural change across thousands of teams in highly constrained environments, and the ability to succinctly communicate with engineers through senior VPs to drive alignment on critical infrastructure decisions.

Requirements

  • 7+ years of technical product or program management experience
  • 10+ years of working directly with engineering teams experience
  • 5+ years of software development experience
  • Experience managing programs across cross functional teams, building processes and coordinating release schedules

Nice To Haves

  • 8+ years of hands-on work managing complex technology projects experience
  • Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules

Responsibilities

  • Driving supply and supportability with AWS to secure and scale GPU infrastructure
  • Owning engineering goals for systematic end-to-end demand-supply signals to optimize allocation
  • Leading migration initiatives to move inferencing workloads to Bedrock, improving efficiency and reducing infrastructure pressure
  • Responsible for the strategic roadmap and tactical milestones of the Program
  • Contribute to the Monthly Business Reviews and leadership updates for the Program and goals, communicating effectively verbally and in writing, to a wide range of audiences including Directors and VPs across SDO businesses
  • Drive decisions in an ambiguous environment by proactively identifying risks and bringing them to the attention of stakeholders with mitigation plans before they become roadblocks
  • Dive deep into data and metrics, understanding them well to drive and influence decisions and stay connected to the details
  • Handle multiple priorities simultaneously with a strong bias for action
  • Understand the big picture and plan ahead for dependencies and roadblocks
  • Internalize Amazon’s Leadership Principles, and live those into everyday practices to guide programs to success

Benefits

  • sign-on payments
  • restricted stock units (RSUs)
  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
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