In this team you will drive end to end planning for a wide portfolio of AI/ML servers. You will engage with senior leaders and working teams across a wide variety of functional areas on the necessary inputs that enable landing of servers in data centers in time to meet customer demand. You will drive short, medium, and long term planning efforts and engage with software teams to deliver systems that optimize the planning process. To deliver the right outcomes, you will need to implement strong mechanisms to identify defects and create feedback loops to the appropriate teams. Ability to engage with the most senior levels in the AWS organization, both in written and verbal form is critical.
BASIC QUALIFICATIONS
- 10+ years of program management, tech program management, or related experience
- 10+ years of working directly with engineering teams experience
- Experience defining roadmap strategy and prioritizing deliverables for your team products
- 4+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Bachelor's degree or above in Computer Science, Computer Engineering, Information Management, Information Systems, or other related discipline
- Experience managing programs across cross-functional teams, building processes and coordinating release schedules
PREFERRED QUALIFICATIONS
- Experience working in data centers or critical infrastructure
- Experience in automation or monitoring frameworks, deployment or development
- Experience performing complex business case analysis to justify technical decisions and presenting the justification to management in a high-level review
- Experience communicating effectively with senior leadership
- Experience working with Advanced Compute technologies including, but not limited to: Accelerated Compute, High Performance Compute, Visual/Spatial Compute, and/or IoT.
- Master's degree or above in computer science, engineering, mathematics or equivalent, or Bachelor's degree or above in engineering, management, or technology
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Cupertino - 203,500.00 - 275,300.00 USD annually
USA, VA, Herndon - 176,900.00 - 239,400.00 USD annually
USA, WA, Seattle - 176,900.00 - 239,400.00 USD annually