Senior Product Manager, EC2 Compute Platform & Cloud AI

Amazon Web Services (AWS); Seattle (WA); On-site; USD 152,000 - 206,000; Full time

Job summary

Amazon Development Center U.S., Inc. in Seattle, WA seeks a dynamic product leader to own the lifecycle of EC2 compute features and drive the future of cloud infrastructure.

You will partner with engineering, design, and business teams to define strategy, set roadmaps, and deliver high-impact solutions across AI/ML workloads, databases, and analytics. The role requires strong technical and business judgment, customer focus, and excellent communication.

Qualifications

• 5+ years of technical product management with internet business experience.
• 5+ years of working as a Technical Product Manager experience.
• 3+ years of technical (software development, network development, IT, other related) experience.
• Experience in taking a product from conception & definition phase through engineering design and taking it to market.
• Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market)

Responsibilities

• Lead the definition and execution of the product strategy for the EC2 core compute platforms
• Define and gather the necessary inputs to make high-quality product and roadmap decisions.
• Work with leaders across AWS, Amazon, and our partners to drive towards our vision.
• Define project requirements, priorities, methods for measurement and track their execution and success.
• Communicate with senior management on project status, strategy, risks, and issues.
• Work closely with multiple engineering teams and designers to deliver results to customer.

Job description

Amazon Development Center U.S., Inc. in Seattle, WA seeks a dynamic product leader to own the lifecycle of EC2 compute features and drive the future of cloud infrastructure.

You will partner with engineering, design, and business teams to define strategy, set roadmaps, and deliver high-impact solutions across AI/ML workloads, databases, and analytics. The role requires strong technical and business judgment, customer focus, and excellent communication.